CN100475136C - Pulse meter, method for controlling pulse meter and wristwatch-type information device - Google Patents

Abstract

The present invention relates to a pulse meter, method for controlling pulse meter, and wristwatch-type information device. Even when a body movement component has no periodical characteristics, the body movement component generated in a living organism from a pulse wave component is removed and a pulse rate accurately calculated. A pulse wave detecting section includes a pulse wave sensor and outputs a pulse wave detection signal to an MPU functioning as a body motion component removing section. A body motion sensor outputs a body motion detection signal corresponding to a body motion that affects the behavior of venous blood to the MPU. As a result, to the MPU removes the body motion component from the pulse wave detection signal based on the body motion detection signal. A pulse rate calculating section calculates the pulse rate based on the pulse wave detection signal from which the body motion component has been removed. The pulse rate is displayed on a liquid crystal display device.

Description

Sphygmometer and control method thereof and watch type information apparatus

The application be that March 19, application number in 2004 are 200410039956.9 the applying date, denomination of invention divides an application for the Chinese invention patent application of " sphygmometer and control method thereof, watch type information apparatus, control sequence, recording medium, blood vessel simulation sensor and Biont information test set ".

Technical field

The present invention relates to control method, watch type information apparatus, control sequence, recording medium, blood vessel simulation sensor and the Biont information test set of a kind of sphygmometer, sphygmometer, particularly a kind ofly be suitable for being worn on the human arm when measuring walking or the sphygmometer of the pulse when running, control method, watch type information apparatus, control sequence, recording medium, blood vessel simulation sensor and the Biont information test set of sphygmometer.

Background technology

In the past, known sphygmometer was worn on some position of human body, when measuring walking or the pulse when running.

For example, patent documentation 1 discloses the Wristwatch-type sphygmometer.

The structure that above-mentioned patent documentation 1 disclosed sphygmometer adopts is, frequency analysis result according to the moving signal of the body that detects with acceleration transducer, from the frequency analysis result of pulse signal, remove the frequency content of all harmonic componentss that are equivalent to the moving signal of body, from the frequency analysis result of the pulse wave signal of the harmonic components of having removed the moving signal of body, extract frequency content out, calculate Pulse Rate according to the frequency content of this extraction with peak power.

No. 2816944 communique of patent documentation 1 patent

Above-mentioned sphygmometer in the past carries out the detection of the moving composition of body by acceleration transducer, thus on top of comprise in the pulse sensor signal by the moving composition of the inner body that produces of organism, the removal of the moving composition of body might be not thorough.

In the past, because on top of body moves composition, so have following problem, utilize the feature of frequency analysis result's harmonic components to determine that body moves signal in order to remove the moving composition of the body that comprises in the pulse sensor signal, remove the moving signal of determined body to extract pulse wave signal out, so, can not remove the moving composition of body, and then can not correctly obtain pulse in that body is moving when not having cyclophysis.

Summary of the invention

The objective of the invention is, control method, watch type information apparatus, control sequence, recording medium, blood vessel simulation sensor and the Biont information test set of a kind of sphygmometer, sphygmometer are provided, by grasping the moving composition of the body that comprises in the pulse sensor signal more accurately, even when the moving composition of body does not have cyclophysis, also can from the pulse wave composition, reliably remove by the moving composition of the inner body that produces of organism, accurately calculate Pulse Rate.

In order to solve above-mentioned problem, a kind of Biont information test set that is worn on test organism information on the human body is characterized in that having: the pulse wave detecting unit, and it has pulse sensor, and output pulse wave detection signal; The moving composition detection of body is removed the unit, and detecting what comprise in the described pulse wave detection signal is the moving composition of body of cause with the mobile of venous blood, removes the moving composition of the body that comprises in the described pulse wave detection signal; With the Biont information test cell, come test organism information according to the described pulse wave detection signal behind the moving composition of the described body of removal.

According to said structure, the pulse wave detecting unit is removed unit output pulse wave detection signal to the moving composition detection of body.

What comprise in the moving composition detection removal of the body unit detection pulse wave detection signal is the moving composition of body of cause with the mobile of venous blood, removes the moving composition of the body that comprises in the pulse wave detection signal.

Like this, the Biont information test cell comes test organism information according to the pulse wave detection signal behind the moving composition of removal body.

In addition, a kind of sphygmometer that is worn on test pulse on the human body is characterized in that having: the pulse wave detecting unit, and it has pulse sensor, and output pulse wave detection signal; Body moves detecting unit, has acceleration transducer, detect corresponding to the mobile moving acceleration of body that brings influence of giving venous blood, and as the moving detection signal output of body; The moving composition of body is removed the unit, according to the moving detection signal of described body, removes the moving composition of the body that comprises in the described pulse wave detection signal; Calculate the unit with Pulse Rate, calculate Pulse Rate according to the described pulse wave detection signal behind the moving composition of the described body of removal.

According to said structure, the pulse wave detecting unit is removed unit output pulse wave detection signal to the moving composition of body.

The moving detecting unit of body detects corresponding to the mobile moving acceleration of body that brings influence of giving venous blood, and removes the unit as the moving composition of the moving detection signal output of body donor.

Like this, body moves composition and removes the unit, according to the moving detection signal of body, removes the moving composition of the body that comprises in the pulse wave detection signal, and Pulse Rate is calculated the unit, calculates Pulse Rate according to the pulse wave detection signal behind the moving composition of removal body.

During this occasion, described acceleration transducer also can be along the axle of wearer's arm distal direction as X-axis, perpendicular to described the 1st and perpendicular to the back of the hand the axle as the Z axle, perpendicular to the axle of described X-axis and described Z axle as Y-axis, detect respectively along 3 axle acceleration sensors of the acceleration of described X-axis, described Y-axis, described Z-direction.

Described acceleration transducer can be configured near the described pulse sensor.

In addition, described acceleration transducer can also be configured on the described pulse sensor with stacked state roughly.

The moving composition of described body is removed the unit can have the moving composition generation unit of body, be X-axis acceleration composition, be Y-axis acceleration composition and be Z axle acceleration composition according to acceleration composition, generate the moving composition of described body along the acceleration composition of described Z-direction along the acceleration composition of described Y direction along described X-direction.

The moving composition of described body is removed the unit also can have the moving composition generation unit of body, described Y-axis acceleration composition and described Z axle acceleration composition are considered as vector, according to these vectorial composite vectors is 2 axle acceleration synthetic ingredients and described X-axis acceleration composition, generates the moving composition of described body.

The moving composition of described body is removed the unit also can have the moving composition generation unit of body, 3 acceleration compositions of described X-axis acceleration composition, described Y-axis acceleration composition and described Z axle acceleration composition are considered as vector, according to these vectorial composite vectors is 3 axle acceleration synthetic ingredients, generates the moving composition of described body.

In addition, also can at least one the acceleration composition in described X-axis acceleration composition, described Y-axis acceleration composition and the described Z axle acceleration composition be weighted.

The moving composition of described body is removed the unit and also can be had: the filter factor generation unit according to described X-axis acceleration composition, described Y-axis acceleration composition and described Z axle acceleration composition, generates the adaptive-filtering coefficient; With remove processing unit, from this described pulse wave detection signal, remove the body that described adaptive-filtering coefficient is applied to described pulse wave detection signal last time and obtains and move composition.

The moving composition of described body is removed the unit and also can be used the pseudo-low frequency signal of regulation to remove the low frequency region composition of the regulation that comprises as the moving composition of described body from described pulse wave detection signal.

The moving composition of described body is removed unit further and is had: the filter factor generation unit, for the pseudo-low frequency signal that uses regulation is removed the low frequency region composition of the regulation that comprises as the moving composition of described body from described pulse wave detection signal, and generate the adaptive-filtering coefficient according to described pseudo-low-frequency component; With remove processing unit, from this described pulse wave detection signal, remove the body that described adaptive-filtering coefficient is applied to described pulse wave detection signal last time and obtains and move composition.

In addition, can also have the moving information detecting unit of body,, detect beat or step number according to the moving composition of the body that comprises in the described pulse wave detection signal.

A kind of control method that is worn on the sphygmometer of test pulse on the human body, this sphygmometer has: the pulse wave detecting unit, it has pulse sensor, and output pulse wave detection signal; With the moving detecting unit of body, has acceleration transducer, detection is corresponding to the mobile moving acceleration of body that brings influence of giving venous blood, and as the moving detection signal output of body, it is characterized in that, described acceleration transducer be along the axle of wearer's arm distal direction as X-axis, perpendicular to described the 1st and perpendicular to the back of the hand the axle as the Z axle, perpendicular to the axle of described X-axis and described Z axle as Y-axis, detect respectively along 3 axle acceleration sensors of the acceleration of described X-axis, described Y-axis, described Z-direction; Have: the moving composition of body generates step, be X-axis acceleration composition, be Y-axis acceleration composition and be Z axle acceleration composition according to acceleration composition, generate the moving composition of described body along the acceleration composition of described Z-direction along the acceleration composition of described Y direction along described X-direction; The moving composition of body is removed step; From described pulse wave detection signal, remove the moving composition of the described body that is generated; Calculate step with Pulse Rate,, calculate Pulse Rate according to the described pulse wave detection signal of removing after described body moves composition.

During this occasion, the moving composition of described body is removed step can have the moving composition generation of body step, described Y-axis acceleration composition and described Z axle acceleration composition are considered as vector, according to these vectorial composite vectors is 2 axle acceleration synthetic ingredients and described X-axis acceleration composition, generates the moving composition of described body.

The moving composition of described body is removed step can also have the moving composition generation of body step, 3 acceleration compositions of described X-axis acceleration composition, described Y-axis acceleration composition and described Z axle acceleration composition are considered as vector, are that 3 axle acceleration synthetic ingredients generate the moving composition of described body according to these vectorial composite vectors.

The moving composition of described body is removed step and also can be used the pseudo-low frequency signal of regulation to remove the low frequency region composition of the regulation that comprises as the moving composition of described body from described pulse wave detection signal.

A kind of watch type information apparatus that is worn on the arm is characterized in that having: the pulse wave detecting unit, and it has pulse sensor, and output pulse wave detection signal; Described acceleration transducer be along the axle of wearer's arm distal direction as X-axis, perpendicular to described the 1st and perpendicular to the back of the hand the axle as the Z axle, perpendicular to the axle of described X-axis and described Z axle as Y-axis, detect respectively along 3 axle acceleration sensors of the acceleration of described X-axis, described Y-axis, described Z-direction; Body moves the composition generation unit, be X-axis acceleration composition, be Y-axis acceleration composition and be Z axle acceleration composition according to acceleration composition, generate the moving composition of described body along the acceleration composition of described Z-direction along the acceleration composition of described Y direction along described X-direction; The moving composition of body is removed the unit, removes the moving composition of the described body that is generated from described pulse wave detection signal; Pulse Rate is calculated the unit, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate; With the display unit that shows described Pulse Rate.

According to said structure, described pulse wave detecting unit is removed unit output pulse wave detection signal to the moving composition of body.

The moving composition generation unit of body is X-axis acceleration composition, is Y-axis acceleration composition and is Z axle acceleration composition along the acceleration composition of Z-direction along the acceleration composition of Y direction according to the acceleration composition along X-direction, generates the moving composition of body.

Like this, the moving composition of body is removed the unit and removes the moving composition of body from the pulse wave detection signal, and Pulse Rate is calculated the unit and calculated Pulse Rate, the Pulse Rate that the display unit demonstration is calculated according to the pulse wave detection signal of removing behind the moving composition of body.

A kind ofly be worn on the human body control sequence of the sphygmometer of test pulse by computer control, this sphygmometer has: the pulse wave detecting unit, and it has pulse sensor, and output pulse wave detection signal; With the moving detecting unit of body, has acceleration transducer, detection is corresponding to the mobile moving acceleration of body that brings influence of giving venous blood, and as the moving detection signal output of body, it is characterized in that, remove the moving composition of the body that comprises in the described pulse wave detection signal according to the moving detection signal of described body, calculate Pulse Rate according to the described pulse wave detection signal behind the moving composition of the described body of removal.

A kind of sphygmometer that is worn on test pulse on the human body is characterized in that having: the pulse wave detecting unit, and it has pulse sensor, and output pulse wave detection signal; The moving composition of body is removed the unit, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal; Calculate the unit with Pulse Rate,, calculate Pulse Rate according to the described pulse wave detection signal of removing after described body moves composition.

According to said structure, the pulse wave detecting unit has pulse sensor, and output pulse wave detection signal.

The moving composition of body is removed the relative mistake of unit according to the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal.

Like this, Pulse Rate is calculated the unit according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate.

During this occasion, the moving composition of described body is removed the unit also can have the moving detecting unit of body, the moving composition of body that detection is represented as the function of the relative mistake of the short transverse of the wearing position of described wearer's cardiac position and this sphygmometer, and the moving detection signal of output body.

The moving detecting unit of described body also can have the pressure transducer that detects the moving composition of described body.

Described pressure transducer can be configured in described pulse sensor near.

Described pressure transducer can also be configured on the described pulse sensor with stacked state roughly.

The moving composition of described body is removed unit further and is had: difference detecting unit, the relative mistake of the short transverse of detection wearer's the cardiac position and the wearing position of this sphygmometer; With the moving composition generation unit of body,, generate the moving composition of described body according to described difference and described pulse wave detection signal.

Described poor detecting unit can have angular transducer, detects the differential seat angle of actual disposition state with respect to the benchmark angle of this sphygmometer, as the relative mistake of described short transverse.

Described angular transducer can be configured in described pulse sensor near.

Described angular transducer can also be configured on the described pulse sensor with stacked state roughly.

Described angular transducer is according to the described differential seat angle of static acceleration detection.

Described angular transducer also can have rotary hammer, detects described differential seat angle according to the rotation status of described rotary hammer.

Described poor detecting unit also can have the differential seat angle correcting unit, when described differential seat angle was regarded as this wearing position of chanting the meter of fighting and is positioned at the higher position of cardiac position with respect to described wearer, the attenuation curve of the moving composition of described body was according to the rules proofreaied and correct described differential seat angle.

The moving composition of described body is removed unit further and is had the removal processing unit, from described pulse wave detection signal, deduct corresponding based on described wearer cardiac position and the moving composition detection signal of body of the moving composition of described body of the relative mistake of the short transverse of the wearing position of this sphygmometer.

The moving composition of described body is removed unit further and is had: the 1st frequency analysis unit, correspondence is carried out frequency analysis based on the moving composition detection signal of body of the moving composition of described body of the relative mistake of the short transverse of the wearing position of described wearer's cardiac position and this sphygmometer, generate the 1st frequency analysis data; The 2nd frequency analysis unit carries out frequency analysis to described pulse wave detection signal, generates the 2nd frequency analysis data; With the removal processing unit, described the 2nd frequency analysis data is deducted the subtraction process of described the 1st frequency analysis data.

The moving composition of described body is removed unit further and is had: the filter factor generation unit, according to described pulse wave detection signal and corresponding based on described wearer cardiac position and the moving composition detection signal of body of the moving composition of described body of the relative mistake of the short transverse of the wearing position of this sphygmometer, generate the adaptive-filtering coefficient; With the removal processing unit, from described pulse wave detection signal, deduct the moving composition detection signal of the described body of having used described adaptive-filtering coefficient.

In addition, can also have the moving information detecting unit of body, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, and according to moving composition detection beat of the body that comprises in the described pulse wave detection signal or step number.

A kind of control method with sphygmometer of pulse wave detecting unit, this pulse wave detecting unit has pulse sensor, and output pulse wave detection signal, it is characterized in that, have: the moving composition of body is removed step, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, remove the moving composition of the body that comprises in the described pulse wave detection signal; Calculate step with Pulse Rate,, calculate Pulse Rate according to the described pulse wave detection signal of removing after described body moves composition.

A kind of watch type information apparatus that is worn on the pulse wave detection position of health has the pulse wave detecting unit, and it has pulse sensor, and output pulse wave detection signal; With the apparatus main body unit that is worn on the arm, it is characterized in that, described apparatus main body unit has: the moving composition of body is removed the unit, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal; Pulse Rate is calculated the unit, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate; With the display unit that shows described Pulse Rate.

According to said structure, the moving composition of the unitary body of apparatus main body is removed the relative mistake of unit according to the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal.Thus, Pulse Rate is calculated the unit, according to the pulse wave detection signal of removing after body moves composition, calculates Pulse Rate, display unit display pulse number.

A kind of control sequence that has the sphygmometer of pulse wave detecting unit by computer control, this pulse wave detecting unit has pulse sensor, and output pulse wave detection signal, it is characterized in that, relative mistake according to the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, remove the moving composition of the body that comprises in the described pulse wave detection signal,, calculate Pulse Rate according to the pulse wave detection signal of removing after body moves composition.

In addition, also can be recorded in above-mentioned control sequence on the computer-readable recording medium.

A kind of mobile blood vessel simulation sensor that is worn on simulation venous blood on the human body is characterized in that having: housing; Viscosity is set to the viscosity that is equivalent to described venous blood, and is filled in the intravital pseudo-blood of described shell; With the mobile current detection sensing that detects described pseudo-blood.

According to said structure, under the state that is worn on the human body, be filled in flowing of the intravital pseudo-blood of shell by detecting with current detection sensing, can infer by the moving composition of the inner body that produces of organism.

During this occasion, described housing can form with having inflexible material.

In addition, described housing is by the blocked tubular resin formation in two ends with transparency, and the structure of described current detection sensing can be made the optical sensor of the level change of measuring described pseudo-blood.

In addition, described housing is by the blocked tubular resin formation in two ends, and described current detection sensing also can be located at described housing one end, constitutes the move pressure transducer that change of detected pressures with described pseudo-blood.

Described housing can also form with the rubber-like material.

Described housing is the blocked tubular in two ends, and described current detection sensing can be located at described housing one end, constitutes the move pressure transducer that change of detected pressures with described pseudo-blood.

In addition, described housing is the blocked tubular in two ends, and described current detection sensing can be located at described housing side, constitutes the move pressure transducer that change of detected pressures with described pseudo-blood.

A kind of mobile blood vessel simulation sensor that is worn on simulation venous blood on the human body, it is characterized in that, have acceleration transducer, have axes of sensitivity in the distal direction of described human body, output corresponding to described venous blood to the mobile output signal of described distal direction.

According to said structure, acceleration transducer under the state that is worn on the human body, by output corresponding to venous blood to the mobile output signal of distal direction, can infer by the moving composition of the inner body that takes place of organism.

A kind of sphygmometer that is worn on test pulse on the human body is characterized in that having: the pulse wave detecting unit, and it has pulse sensor, and output pulse wave detection signal; Above-mentioned any blood vessel simulation sensor; The moving composition of body is removed the unit, removes the moving composition of pseudo-body of the output signal that is equivalent to described current detection sensing from described pulse wave detection signal; Calculate the unit with pulse,, calculate Pulse Rate according to the described pulse wave detection signal of removing after described pseudo-body moves composition.

According to said structure, the pulse wave detecting unit is calculated unit output pulse wave detection signal to Pulse Rate.

The moving composition of body is removed the output signal that is equivalent to current detection sensing is removed in the unit from the pulse wave detection signal the moving composition of pseudo-body.

Like this, pulse is calculated the unit according to the pulse wave detection signal of removing after pseudo-body moves composition, calculates Pulse Rate.

During this occasion, described blood vessel simulation sensor can be configured in described pulse sensor near.

Described blood vessel simulation sensor also can leave the direction of described human body with the state configuration roughly stacked with respect to described pulse sensor.

The moving composition of described body is removed the unit and also can be had the removal processing unit, deducts the moving composition detection signal of body of the output signal that is equivalent to described current detection sensing from described pulse wave detection signal.

The moving composition of described body is removed unit further and is had: the 1st frequency analysis unit, the moving composition detection signal of body of the output signal that is equivalent to described current detection sensing is carried out frequency analysis, and generate the 1st frequency analysis data; The 2nd frequency analysis unit carries out frequency analysis to described pulse wave detection signal, generates the 2nd frequency analysis data; With the removal processing unit, described the 2nd frequency analysis data is deducted the subtraction process of described the 1st frequency analysis data.

The moving composition of described body is removed unit further and had: the filter factor generation unit according to the moving composition detection signal of the body of the output signal that is equivalent to described current detection sensing, generates the adaptive-filtering coefficient; With the removal processing unit, from described pulse wave detection signal, deduct the moving composition detection signal of the described body of having used described adaptive-filtering coefficient.

The Biont information test set is characterised in that to have: above-mentioned any blood vessel simulation sensor; With the Biont information detecting unit,, detect the beat or the step number of corresponding described human motion according to the output signal of described blood vessel simulation sensor.

Description of drawings

Fig. 1 is the key diagram of the state of wearing of the pulse measuring instrument of the 1st embodiment.

Fig. 2 is the profile of the pulse measuring instrument of the 1st embodiment.

Fig. 3 is the summary block diagram of the pulse measuring instrument of the 1st embodiment.

Fig. 4 is the key diagram that concerns of the moving component ((stroke) component of beating) of body that comprises in the output of the composite vector variable quantity of 2 axle acceleration vectors and pulse sensor.

Fig. 5 is the summary block diagram of an example of the sef-adapting filter of the 1st embodiment.

Fig. 6 is the curve chart that correspondence is arranged by the time sequence order from the X-axis acceleration information Kx of the X-axis acceleration detection signal of X-axis acceleration transducer 12X output.

Fig. 7 is the frequency analysis result who obtains to the X-axis acceleration information Kx of corresponding diagram 6 enforcement FFT.

Fig. 8 is the curve chart that correspondence is arranged by the time sequence order from the Y-axis acceleration information Ky of the Y-axis acceleration detection signal of Y-axis acceleration transducer 12Y output.

Fig. 9 is the frequency analysis result who obtains to the Y-axis acceleration information Ky of corresponding diagram 8 enforcement FFT.

Figure 10 is the curve chart that correspondence is arranged by the time sequence order from the Z axle acceleration data Kz of the Z axle acceleration detection signal of Z axle acceleration sensor 12Z output.

Figure 11 is the frequency analysis result who obtains to the Z of corresponding Figure 10 axle acceleration data Kz enforcement FFT.

Figure 12 uses the Z axle acceleration data Kz of correspondence from the Y-axis acceleration information Ky of the Y-axis acceleration detection signal of Y-axis acceleration transducer 12Y output, corresponding Z axle acceleration detection signal from Z axle acceleration sensor 12Z output respectively as vector, the curve chart of the resultant acceleration vector data that obtains as its composite vector by time sequence order arrangement.

Figure 13 is the resultant acceleration vector data to corresponding Figure 12 $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ The frequency analysis result who implements FFT and obtain.

Figure 14 is the curve chart that predefined pseudo-low frequency signal (use triangular wave) is arranged by the time sequence order.

Figure 15 is the frequency analysis result who obtains to the pseudo-low frequency signal enforcement FFT of corresponding Figure 14.

Figure 16 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 17 detects that data are implemented FFT and the frequency analysis result that obtains to the pulse wave of corresponding Figure 16.

Figure 18 is the pulse wave detection signal to Figure 16, adaptive-filtering is applied to the amplification X-axis acceleration detection signal of Fig. 6, the resultant acceleration vector signal of Figure 12 and the pseudo-low frequency signal of Figure 14, the curve chart of the residual error data that resulting signal is synthesized into by time sequence order arrangement.

Figure 19 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 18.

Figure 20 is the pulse wave detection signal to Figure 16, adaptive-filtering is applied to the amplification X-axis acceleration detection signal of Fig. 6 and the resultant acceleration vector signal of Figure 12, the curve chart of the residual error data that resulting signal is synthesized into by time sequence order arrangement.

Figure 21 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 20.

Figure 22 is the summary block diagram of an example of sef-adapting filter of the 1st variation of the 1st embodiment.

Figure 23 is the curve chart that X-axis acceleration information Kx is arranged by the time sequence order.

Figure 24 is the frequency analysis result who obtains to the X-axis acceleration information Kx of corresponding Figure 23 enforcement FFT.

Figure 25 is the curve chart that Y-axis acceleration information Ky is arranged by the time sequence order.

Figure 26 is the frequency analysis result who obtains to the Y-axis acceleration information Ky of corresponding Figure 25 enforcement FFT.

Figure 27 is the curve chart that Z axle acceleration data Kz is arranged by the time sequence order.

Figure 28 is the frequency analysis result who obtains to the Z of corresponding Figure 27 axle acceleration data Kz enforcement FFT.

Figure 29 is the resultant acceleration vector data $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ Curve chart by time sequence order arrangement.

Figure 30 is to the resultant acceleration vector data $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ The frequency analysis result who implements FFT and obtain.

Figure 31 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 32 is the frequency analysis result who obtains to the pulse wave detection data enforcement FFT of corresponding Figure 31.

Figure 33 is the pulse wave detection data to Figure 31, and adaptive-filtering is applied to the resultant acceleration vector data of Figure 29 and the pseudo-low frequency signal of Figure 14, the curve chart of the residual error data that resulting data are synthesized into by time sequence order arrangement.

Figure 34 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 33.

Figure 35 is the summary block diagram of an example of sef-adapting filter of the 2nd variation of the 1st embodiment.

Figure 36 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 37 is the frequency analysis result who obtains to the pulse wave detection data enforcement FFT of corresponding Figure 36.

Figure 38 is the pulse wave detection data to Figure 31, and adaptive-filtering is applied to the resultant acceleration vector signal of Figure 29 and the pseudo-low frequency signal of Figure 14, the curve chart of the residual error data that resulting data are synthesized into by time sequence order arrangement.

Figure 39 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 38.

Figure 40 is the summary block diagram of an example of sef-adapting filter of the 3rd variation of the 1st embodiment.

Figure 41 is the summary block diagram of an example of the sef-adapting filter of the 1st embodiment.

Figure 42 is the key diagram that concerns of the moving component (component of beating) of the body that comprises in the output of pressure variety and pulse sensor.

Figure 43 is the summary structure chart of the pulse measuring system of the 2nd embodiment.

Figure 44 is the ios dhcp sample configuration IOS DHCP key diagram of each pick off of sensor assembly.

Figure 45 is the summary block diagram of pulse measuring instrument.

Figure 46 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 47 be the pulse wave of corresponding Figure 46 is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

Figure 48 is the curve chart that the difference data that the pressure detecting data that detect data and Fig. 6 according to the pulse wave of Figure 46 are calculated is arranged by the time sequence order.

Figure 49 is the frequency analysis result who obtains to the difference data enforcement FFT of Figure 48.

Figure 50 is the key diagram that pulse wave detects the data frequency analysis result.

Figure 51 is the key diagram of pressure detecting data frequency analysis result.

Figure 52 is that the difference that the pulse wave after the frequency analysis detects the pressure detecting data after data and the frequency analysis is the key diagram of difference data.

Figure 53 is the summary block diagram of an example of the sef-adapting filter of the 2nd embodiment.

Figure 54 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 55 be the pulse wave of corresponding Figure 54 is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

Figure 56 is applied to the pulse wave detection data of Figure 54 and the pressure detecting data of Figure 55 to sef-adapting filter, the curve chart of resulting residual error data by time sequence order arrangement.

Figure 57 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 56.

Figure 58 is the summary block diagram of pulse measuring system of the 3rd variation of the 2nd embodiment.

Figure 59 is the ios dhcp sample configuration IOS DHCP key diagram of the pick off of sensor assembly 111A.

Figure 60 is the ios dhcp sample configuration IOS DHCP key diagram of the pick off of sensor assembly 111B.

Figure 61 be arm high variable quantity and and the output of pulse sensor in the moving component (component of beating) of body that comprises concern key diagram.

Figure 62 be arm angle and direction concern key diagram.

Figure 63 is in the arm position (orientation arm) under the original state, the high variable quantity of arm position and as the key diagram that concerns of the moving component (component of beating) of body of the output of angular transducer.

Figure 64 is high variable quantity fixedly the time, as the variation key diagram of the moving component (component of beating) of body of the output of the angular transducer that changes because of the arm position.

Figure 65 is in the arm position (orientation arm) under the original state, the high variable quantity of arm position and proofread and correct after the output of angular transducer in the moving component (component of beating) of body that comprises concern key diagram.

Figure 66 is assembled to profile in the clock and watch shell to the sphygmometer of the 3rd embodiment.

Figure 67 is that angular transducer is the sensor construction sketch plan of differential capacitor type pick off.

Figure 68 is the partial enlarged drawing of differential capacitor type pick off.

Figure 69 is the job description figure of differential capacitor type pick off.

Figure 70 is the front elevation as the rotation plektron angular transducer of angular transducer.

Figure 71 is the side view of the rotation plektron angular transducer of Figure 70.

Figure 72 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 73 is the frequency analysis result who obtains to the pulse wave detection data enforcement FFT of Figure 72.

Figure 74 detects the curve chart of data by an example of time sequence order arrangement to angle.

Figure 75 is the frequency analysis result who obtains to the angle detection data enforcement FFT of Figure 74.

Figure 76 is applied to the pulse wave detection data of Figure 72 and the angle detection data of Figure 74 to sef-adapting filter, the curve chart of resulting residual error data by time sequence order arrangement.

Figure 77 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 76.

Figure 78 is the curve chart of an example the when angle after proofreading and correct is detected data and arranges by the time sequence order.

Figure 79 is that the angle after proofreading and correct detects that data are implemented FFT and the frequency analysis result that obtains.

Figure 80 detects data to the angle that the pulse wave that sef-adapting filter is applied to Figure 72 detects after the correction of data and Figure 78, the curve chart resulting residual error data during by time sequence order arrangement.

Figure 81 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 80.

Figure 82 is worn on to simulate the principle key diagram that venous blood moves the blood vessel simulation sensor of (flowing) on the human body.

Figure 83 is the sketch map of the 1st rigid body type blood vessel simulation sensor.

Figure 84 is the sketch map of the 2nd rigid body type blood vessel simulation sensor.

Figure 85 is the sketch map of the 1st elastomeric-type blood vessel simulation sensor.

Figure 86 is the sketch map of the 2nd elastomeric-type blood vessel simulation sensor.

Figure 87 is the key diagram that concerns of the moving composition (jitter components) of the body that comprises in the output of rigid body type blood vessel simulation sensor and pulse sensor.

Figure 88 is the key diagram that concerns of the moving composition (jitter components) of the body that comprises in the output of elastomeric-type blood vessel simulation sensor and pulse sensor.

Figure 89 is the summary structure chart of the pulse measuring system of the 4th embodiment.

Figure 90 is an ios dhcp sample configuration IOS DHCP key diagram of wearing each pick off of the sensor assembly under the state.

Figure 91 is the summary block diagram of pulse measuring instrument.

Figure 92 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 93 be the pulse wave of corresponding Figure 92 is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

Figure 94 is the curve chart that the difference data that the pressure detecting data that detect data and Figure 93 according to the pulse wave of Figure 92 are calculated is arranged by the time sequence order.

Figure 95 is the frequency analysis result who obtains to the difference data enforcement FFT of Figure 94.

Figure 96 is the key diagram that pulse wave detects the data frequency analysis result.

Figure 97 is the key diagram of pressure detecting data frequency analysis result.

Figure 98 is that the difference that the pulse wave after the frequency analysis detects the pressure detecting data after data and the frequency analysis is the key diagram of difference data.

Figure 99 is the summary block diagram of an example of sef-adapting filter.

Figure 100 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 101 be the pulse wave of corresponding Figure 100 is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

Figure 102 is applied to the pulse wave detection data of Figure 100 and the pressure detecting data of Figure 20, curve chart when resulting residual error data is arranged by the time sequence order to sef-adapting filter.

Figure 103 is the frequency analysis result who obtains to the residual error data enforcement FFT of Figure 102.

Figure 104 is an ios dhcp sample configuration IOS DHCP key diagram of wearing each pick off of the sensor assembly under the state.

Figure 105 is an ios dhcp sample configuration IOS DHCP key diagram of wearing each pick off of the sensor assembly under the state.

Figure 106 is as acceleration transducer, and the body that comprises in the acceleration of the aftermentioned X-direction when using 3 (X, Y, Z axle) acceleration transducers and the output of pulse sensor moves the key diagram that concerns of composition (jitter components).

Figure 107 is as acceleration transducer, the moving composition (jitter components) of body that comprises in the acceleration of the Y direction when using 3 axle acceleration sensors described later and the output of pulse sensor concern key diagram.

Figure 108 is as acceleration transducer, and the body that comprises in the acceleration of the Z-direction when using 3 described later (X, Y, Z axle) acceleration transducers and the output of pulse sensor moves the key diagram that concerns of composition (jitter components).

Figure 109 is 3 a key diagram.

Figure 110 is the outward appearance perspective view of the pulse measuring instrument of the 5th embodiment.

Figure 111 is the profile of the sensor assembly of Figure 110.

Figure 112 is assembled to outward appearance perspective view in the clock and watch shell to the pulse measuring instrument of the 6th embodiment.

Figure 113 is the profile of the pulse measuring instrument of Figure 112.

The specific embodiment

Below, with reference to description of drawings preferred forms of the present invention.

[1] the 1st embodiment

Fig. 1 be the 1st embodiment pulse measuring instrument wear state description figure.

Pulse measuring instrument 10 is worn on the user arm 11 and uses, and has apparatus main body (clock and watch shell) 10A and be used for handle assembly main body 10A to be worn on watchband 10B on the arm.

Fig. 2 is the profile of the pulse measuring instrument of the 1st embodiment.

Watchband 10B is wrapped on the wrist when wearing pulse measuring instrument 10, and the rear side of apparatus main body 10A is close to the wrist back.

Therefore, the rear side at apparatus main body 10A is provided with 3 (X-axis, Y-axis, Z axle) acceleration transducer 12 and pulse sensors 13.During this occasion, 3 axle acceleration sensors 12 play the function of body dynamic sensor.

As shown in Figure 2, pulse sensor unit 13 has: penetrate pulse wave and detect the LED13A that uses up; PD (photodetector) 13B that acceptance is used up from the detection of human body reflection; With clear glass 13C, protection LED13A and PD13B see through the irradiates light of LED13A, simultaneously by the resulting reflected light of organism, make it incide PD13B.Wherein, clear glass 13C is being fixed by the bonnet 14 of constituent apparatus main body 10A.

According to the structure of this pulse sensor unit 13, by clear glass 55 irradiation wrist backs, its reflected light is accepted by photodiode 13B from the light of LED13A.

Face side at apparatus main body 10A is provided with liquid crystal indicator 15, except that current time and date, also shows the Biont informations such as Pulse Rate HR based on the testing result of pulse sensor 13.

In the inside of apparatus main body 10A, be provided with various IC circuit such as CPU at the upside of main substrate 16, the composition data treatment circuit 17 thus.

Rear side at main substrate 16 is provided with battery 18, provides power supply by battery 18 to 3 axle acceleration sensors 12, pulse sensor 13, liquid crystal indicator 15 and main substrate 16.

3 axle acceleration sensors 12, pulse sensor 13 and main substrate 16 are connected by heat seal (heatseal) 19.Like this, the wiring that utilizes heat seal 19 to form, main substrate 16 provides power supply to 3 axle acceleration sensors 12 and pulse sensor 13.

As a result, 3 axle acceleration sensors 12 provide the acceleration detection signal to main substrate 16.Pulse sensor 13 provides the pulse wave detection signal to main substrate 16.

17 pairs of acceleration detection signals of data processing circuit and pulse wave detection signal carry out FFT to be handled, and by analyzing its result, calculates Pulse Rate HR.In addition, as shown in Figure 1, be provided with at the lateral surface of apparatus main body 10A and be used to that the time of carrying out is adjusted and press button 20A, 20B, 20C, 20D, the 20E of display mode switching etc.

Fig. 3 is the summary block diagram of the pulse measuring instrument of the 1st embodiment.

If roughly divide pulse measuring instrument 10, have: above-mentioned 3 axle acceleration sensors 12, pulse sensor 13, liquid crystal indicator 15 and pulse wave signal amplifying circuit 21, acceleration signal amplifying circuit 22, A/D translation circuit 23, MPU24, RAM25 and ROM26.

3 axle acceleration sensors 12 have: the X-axis acceleration transducer 12X of the acceleration of Fig. 1 or detection X-direction shown in Figure 2, detect the acceleration of Y direction Y-axis acceleration transducer 12Y, detect the Z axle acceleration sensor 12Z of the acceleration of Z-direction.

Pulse wave signal amplifying circuit 21 amplifies from the pulse wave detection signal of pulse sensor 13 outputs with the amplification of regulation, and exports to A/D translation circuit 23 as amplifying the pulse wave detection signal.

Acceleration signal amplifying circuit 22 amplifies respectively from X-axis acceleration detection signal, Y-axis acceleration detection signal and the Z axle acceleration detection signal of 12 outputs of 3 axle acceleration body dynamic sensors with the amplification of regulation, and as amplifying X-axis acceleration detection signal, amplification Y-axis acceleration detection signal and amplifying Z axle acceleration detection signal and export to A/D translation circuit 23.

A/D translation circuit 23 carries out analog/digital conversion to the amplification pulse wave detection signal of being imported, amplification X-axis acceleration detection signal, amplification Y-axis acceleration detection signal, amplification Z axle acceleration detection signal and amplification pressure detecting signal respectively separately, and exports to MPU24 as pulse wave detection data, X-axis acceleration detection data Kx, Y-axis acceleration detection data Ky, Z axle acceleration detection data Kz.

MPU24 detects data, X-axis acceleration detection data Kx, Y-axis acceleration detection data Ky, Z axle acceleration to pulse wave and detects data Kz and be stored among the RAM25, calculates Pulse Rate according to the control sequence that is stored in ROM26 simultaneously, and is presented in the display device 15.

Particularly, MPU24 is detecting data, X-axis acceleration detection data Kx, Y-axis acceleration detection data Ky, Z axle acceleration and detect the moving data that detect of the resulting body of data Kz and arrange by the time sequence order according to being stored in pulse wave among the RAM25, and to detect moving both difference that detects data of data and body be residual error data to obtaining pulse wave pairing each sample time.

Then, carry out the frequency analysis (FFT: fast fourier transform), extract the harmonic components of pulse wave out, calculate Pulse Rate of this residual error data according to its frequency.

Below, specify Pulse Rate and calculate processing.

At first, before specifying the 1st embodiment, the operation principle of the 1st embodiment is described.

Be used for detecting the output of the pulse sensor of pulse wave, except that the pulse wave composition, also comprise the moving composition of various bodies.The moving composition of known this body result from the pulse person to be measured be user motion (walking, run action, arms swing etc.), produce by the variation of organism inside.

, during as the pick off of the moving composition of detection bodies, known 3 axle acceleration sensors, particularly distal direction, be that the influence of the moving composition of body of X-direction is big, but can not ignore the moving composition of body of other 2 (Y-axis and Z axle) directions.

Therefore, the 2 axial acceleration of inventors when making generation with the moving composition of one are as vector, have studied the relation of the moving component (component of beating) of body that comprises in the output of the variable quantity of composite vector of 2 axle acceleration vectors and pulse sensor.

Fig. 4 is the key diagram that concerns of the moving component (component of beating) of body that comprises in the output of the variable quantity of composite vector of 2 axle acceleration vectors and pulse sensor.

Can learn that as shown in Figure 4 it is roughly proportional that the body that comprises in the variable quantity of the composite vector of 2 axle acceleration vectors and the output of pulse sensor moves component (component of beating).

In other words, if can detect the variable quantity of the composite vector of 2 axle acceleration vectors, then can infer the amount of influence of the venous blood that comprises in the output of pulse sensor.

In this 1st embodiment, 3 axle acceleration sensors by the outside detect because of the moving composition of the body of vein cause, from the output of pulse sensor, deduct these with the regulation ratio simultaneously and detect output, thereby can accurately detect Pulse Rate according to the signal of the influence of having removed venous blood.

Fig. 5 is the summary block diagram of an example of the sef-adapting filter of the 1st embodiment.

If roughly divide sef-adapting filter 30, have: filter factor generation unit 31 and synthesis unit 32.

The coefficient control unit 31A of filter factor generation unit 31 plays the moving composition of body and removes unitary function, generates the adaptive-filtering coefficient h according to having used the filtered data that synthesis unit 32 last time exported.

The generated data that the moving composition detection signal of body that the adaptive-filtering coefficient h that filter factor generation unit 31 generates coefficient control unit 31A is applied to be imported is X-axis acceleration information Kx, Y-axis acceleration information Ky and Z axle acceleration data Kz be the resultant acceleration vector data (=y) and pseudo-low frequency signal (=z), generate the moving removal of body data h (x), h (y), h (z) respectively, and export to synthesis unit 32.

Synthesis unit 32 plays the function of removing processing unit, the pulse wave of synthetic last time output detects data (=pulse wave composition+body moves composition) and moving data h (x), h (y), the h (z) of removing of body, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract pulse wave ingredient e (n) out.

Below, the reason of using pseudo-low frequency signal is described.

According to inventors' experiment,, because of residual in the resulting pulse wave composition low-frequency fluctuation composition is arranged, so often can not accurately obtain Pulse Rate even detect moving data h (x), h (y), the h (z) of removing of removal body the data from pulse wave.

This can be thought of as breathes and neural influence, needs large scale system but it is detected and remove its influence, so can not realize portable pulse measuring instrument.

Therefore, inventors are multiplied each other the moving detecting sensor of body output signal that is 3 axle acceleration sensors and the pseudo-low frequency signal that is equivalent to the frequency of this low-frequency fluctuation composition, and implement adaptive-filtering, thereby can remove this influence.

At this moment, the frequency distribution that has regulation from pseudo-low frequency signal when carrying out frequency analysis needs to remove the low-frequency fluctuation composition and its band region is considered smaller or equal to the viewpoint of 0.5Hz, preferably smaller or equal to triangular wave or the square wave of 0.5Hz.This band region and waveform shape can suitably change according to the actual low-frequency fluctuation composition that comprises.

Below, illustrate that the concrete Pulse Rate of this 1st embodiment is calculated processing.

Fig. 6 is the curve chart that correspondence is arranged by the time sequence order from the X-axis acceleration information Kx of the X-axis acceleration detection signal of X-axis acceleration transducer 12X output.

Fig. 7 is that the X-axis acceleration information Kx to corresponding diagram 6 carries out FFT and the frequency analysis result that obtains.

Fig. 8 is the curve chart that correspondence is arranged by the time sequence order from the Y-axis acceleration information Ky of the Y-axis acceleration detection signal of Y-axis acceleration transducer 12Y output.

Fig. 9 is that the Y-axis acceleration information Ky to corresponding diagram 8 carries out FFT and the frequency analysis result that obtains.

Figure 10 is the curve chart that correspondence is arranged by the time sequence order from the Z axle acceleration data Kz of the Z axle acceleration detection signal of Z axle acceleration sensor 12Z output.

Figure 11 is that the Z axle acceleration data Kz to corresponding Figure 10 carries out FFT and the frequency analysis result that obtains.

If comparison diagram 6, Fig. 8 and Figure 10 are as can be known, as the moving composition of body, the influence of X-axis acceleration composition is greater than the influence of Y-axis acceleration composition and Z axle acceleration composition.

Therefore, inventors as previously described, do as a whole the processing to Y-axis acceleration composition and Z axle acceleration composition for keeping the simplification processing again simultaneously of mensuration precision, detect the composite vector variable quantity of 2 axle acceleration vectors.

Figure 12 uses the Z axle acceleration data Kz of correspondence from the Y-axis acceleration information Ky of the Y-axis acceleration detection signal of Y-axis acceleration transducer 12Y output, corresponding Z axle acceleration detection signal from Z axle acceleration sensor 12Z output respectively as vector, the curve chart of the resultant acceleration vector data that obtains as its composite vector by time sequence order arrangement.

Figure 13 is the resultant acceleration vector data to corresponding Figure 12 $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ , promptly 2 axle acceleration synthetic ingredients are carried out FFT and the frequency analysis result that obtains.

Figure 14 is the curve chart that predefined pseudo-low frequency signal (use triangular wave) is arranged by the time sequence order.

Figure 15 is that the pseudo-low frequency signal to corresponding Figure 14 carries out FFT and the frequency analysis result that obtains.

As shown in figure 15, this frequency has the frequency distribution of regulation roughly smaller or equal to 0.5Hz.

Figure 16 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 17 detects that data are carried out FFT and the frequency analysis result that obtains to the pulse wave of corresponding Figure 16.

At first, MPU24 calls over the pulse wave that is stored among the RAM25 and detects data, X-axis acceleration detection data, Y-axis acceleration detection data, Z axle acceleration detection data, the pulse wave in the sample time is detected data export to synthesis unit 32.

Parallel therewith, MPU24 detects data Kz to 31 outputs of filter factor generation unit corresponding to X-axis acceleration detection data Kx, Y-axis acceleration detection data Ky, the Z axle acceleration that the pulse wave of exporting to synthesis unit 32 detects data.

Like this, the coefficient control unit 31A of filter factor generation unit 31 generates the adaptive-filtering coefficient h according to having used the filtered data that synthesis unit 32 was last time exported.

Filter factor generation unit 31 is under the control of coefficient control unit 31A, respectively the adaptive-filtering coefficient h be applied to the moving composition detection signal of the body imported be X-axis acceleration detection data Kx (=x), Y-axis acceleration detection data Ky and the Z axle acceleration generated data that detects data Kz be the resultant acceleration vector data (=y) and pseudo-low frequency signal (=z), generate moving data h (x), h (y), the h (z) of removing of body respectively, export to synthesis unit 32.

Like this, the pulse wave that synthesis unit 32 synthesizes this detects data and moving data h (x), h (y), the h (z) of removing of body, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract the pulse wave composition out, it is residual error data e (n) that the data behind the adaptive-filtering have been used in output.

Figure 18 is the pulse wave detection signal to Figure 16, adaptive-filtering is applied to the amplification X-axis acceleration detection signal of Fig. 6, the resultant acceleration vector signal of Figure 12 and the pseudo-low frequency signal of Figure 14, the curve chart of the residual error data that resulting signal is synthesized into by time sequence order arrangement.

Then, MPU24 carries out FFT to residual error data.

Figure 19 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 18.

Resulting thus frequency analysis result has removed the moving composition of body of vein cause in fact from the output signal (pulse wave composition+body moves composition) of pulse sensor, promptly become the pulse wave data of main corresponding pulse wave composition.

Below for relatively, the pulse wave data that obtain when not using pseudo-low frequency signal are described.

Figure 20 is the pulse wave detection signal to Figure 16, adaptive-filtering is applied to the amplification X-axis acceleration detection signal of Fig. 6 and the resultant acceleration vector signal of Figure 12, the curve chart of the residual error data that resulting signal is synthesized into by time sequence order arrangement.

Figure 21 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 20.

Can learn easily that by comparing Figure 19 and Figure 21 the structure according to this 1st embodiment can reduce the low-frequency fluctuation composition, and then remove the influence of the low-frequency fluctuation composition when detecting Pulse Rate easily.

In addition, MPU24 mainly the peak frequency composition in the resulting pulse wave data that contain the pulse wave composition as the pulse wave spectrum, calculate Pulse Rate according to its frequency.

Then, MPU24 is shown in the pulse digital display on the liquid crystal indicator 15.

As mentioned above, according to this 1st embodiment, playing 3 axle acceleration sensors 12 and the pulse sensor 13 of the function of body dynamic sensor by use, and use accurate low frequency signal, is the venous fluctuation thereby can detect the main cause of holding the moving composition of the inner body that produces of organism reliably.Therefore, the moving composition of body be can reliably remove, and then pulse wave composition detection and Pulse Rate mensuration accurately accurately carried out.

[1.1] the 1st variation

More than Shuo Ming the generated data that is to use Y-axis acceleration information Ky and Z axle acceleration data Kz is the resultant acceleration vector data $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ The time embodiment, but this 1st variation is to use these 3 acceleration informations of X-axis acceleration information, Y-axis acceleration information and Z axle acceleration data the resultant acceleration vector data after synthetic $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ , the embodiment when promptly using 3 axle acceleration synthetic ingredients.

Figure 22 is the summary block diagram of an example of sef-adapting filter of the 1st variation of the 1st embodiment.

If roughly divide sef-adapting filter 40, have: filter factor generation unit 41, quadrature unit 42 and synthesis unit 43.

Filter factor generation unit 41 plays the moving composition of body and removes unitary function, according to having used the filtered data that synthesis unit 43 was last time exported, generates the adaptive-filtering coefficient h.

Parallel therewith, the resultant acceleration vector data after quadrature unit 42 synthesizes these 3 acceleration informations of X-axis acceleration information, Y-axis acceleration information and Z axle acceleration data $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ Multiply by predefined pseudo-low frequency signal, and export to filter factor generation unit 41.

As a result, filter factor generation unit 41 is applied to the adaptive-filtering coefficient h that is generated in the output of quadrature unit 42, generates the moving data h (Kx that removes of body ²+ Ky ²+ Kz ²), and export to synthesis unit 43.

Synthesis unit 43 plays the function of removing processing unit, and the pulse wave of synthetic last time output detects data (=pulse wave composition+body moves composition) and the moving data h (Kx that removes of body ²+ Ky ²+ Kz ²), detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract pulse wave ingredient e (n) out.

Below, the Pulse Rate that specifies the 1st variation is calculated processing.

Figure 23 is the curve chart that the X-axis acceleration detection data Kx corresponding to the X-axis acceleration detection signal of exporting from X-axis acceleration transducer 12X is arranged by the time sequence order.

Figure 24 is that the X-axis acceleration information Kx to corresponding Figure 23 carries out FFT and the frequency analysis result that obtains.

Figure 25 is the curve chart that the Y-axis acceleration detection data Ky corresponding to the Y-axis acceleration detection signal of exporting from Y-axis acceleration transducer 12Y is arranged by the time sequence order.

Figure 26 is that the Y-axis acceleration information Ky to corresponding Figure 25 carries out FFT and the frequency analysis result that obtains.

Figure 27 detects the curve chart that data Kz arranges by the time sequence order to the Z axle acceleration corresponding to the Z axle acceleration detection signal of exporting from Z axle acceleration sensor 12Z.

Figure 28 is that the Z axle acceleration data Kz to corresponding Figure 27 carries out FFT and the frequency analysis result that obtains.

Figure 29 be corresponding to from the X-axis acceleration information Kx of X-axis acceleration transducer 12X output, corresponding to from the Y-axis acceleration detection data Ky of the Y-axis acceleration detection signal of Y-axis acceleration transducer 12Y output, detect data Kz corresponding to Z axle acceleration and use as vector respectively, as the resulting resultant acceleration vector data of its composite vector from the Z axle acceleration detection signal of Z axle acceleration sensor 12Z output $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ Curve chart by time sequence order arrangement.

Figure 30 is the resultant acceleration vector data to corresponding Figure 29 $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ The frequency analysis result who carries out FFT and obtain.

Figure 31 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 32 detects that data are carried out FFT and the frequency analysis result that obtains to the pulse wave of corresponding Figure 31.

At first, MPU24 calls over the pulse wave that is stored among the RAM25 and detects data, X-axis acceleration detection data, Y-axis acceleration detection data, Z axle acceleration detection data, the pulse wave in the sample time is detected data export to synthesis unit 43.

Parallel therewith, MPU24 detects data Kz to 42 outputs of quadrature unit corresponding to X-axis acceleration detection data Kx, Y-axis acceleration detection data Ky, the Z axle acceleration that the pulse wave of exporting to synthesis unit 43 detects data.

Resultant acceleration vector data after quadrature unit 42 synthesizes these 3 acceleration informations of X-axis acceleration information, Y-axis acceleration information and Z axle acceleration data $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ Multiply by Figure 14 and pseudo-low frequency signal shown in Figure 15, and export to filter factor generation unit 41.

Like this, filter factor generation unit 41 generates the adaptive-filtering coefficient h according to having used the filtered data that synthesis unit 43 was last time exported.

Filter factor generation unit 41 is applied to the adaptive-filtering coefficient h resultant acceleration vector data imported $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2}),$ Generate the moving data h (Kx that removes of body ²+ Ky ²+ Kz ²), and export to synthesis unit 43.

Thus, synthesis unit 43 is with this pulse wave data and the moving data h (Kx that removes of body ²+ Ky ²+ Kz ²) synthesize, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract the pulse wave composition out, it is residual error data e (n) that the data behind the adaptive-filtering have been used in output.

Figure 33 detects data to the pulse wave of Figure 31, and adaptive-filtering is applied to the resultant acceleration vector data of Figure 29 and the pseudo-low frequency signal of Figure 14, synthetic its data and curve chart that the residual error data that obtains is arranged by the time sequence order.

Then, MPU24 carries out FFT to residual error data.

Figure 34 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 33.

Like this, resulting frequency analysis result and the 1st embodiment ratio, low frequency region (＜0.5Hz) still residually have and wave spectrum that the pulse wave composition is irrelevant, but (2Hz～2.5Hz) brings influence not give the band region of pulse wave composition, but the body of having removed the vein cause in fact from the output signal (pulse wave composition+body moves composition) of pulse sensor moves the wave spectrum of composition, promptly forms main pulse wave data corresponding to the pulse wave composition.

[1.2] the 2nd variation

More than explanation is situation when pseudo-low frequency signal is used to handle, but this 2nd variation is in order to simplify processing and apparatus structure, and the variation when pseudo-low frequency signal not being used to handle.

Figure 35 is the summary block diagram of an example of sef-adapting filter of the 2nd variation of the 1st embodiment.

If roughly divide sef-adapting filter 50, have: filter factor generation unit 51 and synthesis unit 52.

The coefficient control unit 51A of filter factor generation unit 51 plays the moving composition of body and removes unitary function, according to having used the filtered data that synthesis unit 52 was last time exported, generates the adaptive-filtering coefficient h.

The moving composition detection signal of body that the adaptive-filtering coefficient h that filter factor generation unit 51 generates coefficient control unit 51A is applied to be imported is that X-axis acceleration detection data Kx, Y-axis acceleration detection data Ky and Z axle acceleration detect data Kz, generate moving data h (x), h (y), the h (z) of removing of body respectively, export to synthesis unit 52.

Synthesis unit 52 plays the function of removing processing unit, and the pulse wave of last time extracting out is detected data (=pulse wave composition+body moves composition) and the moving data h (Kx that removes of body ²+ Ky ²+ Kz ²) synthesize, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract pulse wave ingredient e (n) out.

Below, specify an example of deal with data.

Figure 36 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 37 detects that data are carried out FFT and the frequency analysis result that obtains to the pulse wave of corresponding Figure 36.

Figure 38 is the pulse wave detection data to Figure 31, adaptive-filtering is applied to the resultant acceleration vector data of Figure 29 and the pseudo-low frequency signal of Figure 14, the curve chart that the residual error data that is synthesized into is arranged by the time sequence order.

Figure 39 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 38.

MPU24 is by carrying out FFT to residual error data e (n), thereby resultant frequency analysis result as shown in figure 34, identical with the 1st embodiment, from the output signal (=pulse wave composition+body moves composition) of pulse sensor, remove the moving composition of the body that causes because of vein in fact, promptly become the pulse wave data of main corresponding pulse wave composition.

[1.3] the 3rd variation

This 3rd variation is the further variation of above-mentioned the 1st variation, is the variation that adopts the structure of not using pseudo-low frequency signal in the 1st variation.

Figure 40 is the summary block diagram of an example of sef-adapting filter of the 3rd variation of the 1st embodiment.

If roughly divide sef-adapting filter 60, have: filter factor generation unit 61 and synthesis unit 62.

Filter factor generation unit 61 plays the moving composition of body and removes unitary function, according to having used the filtered data that synthesis unit 62 was last time exported, generates the adaptive-filtering coefficient h.

Filter factor generation unit 61 is applied to the adaptive-filtering coefficient h that is generated X-axis acceleration detection data Kx, Y-axis acceleration detection data Ky and Z axle acceleration are detected resultant acceleration vector data after these 3 acceleration informations of data Kz synthesize $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2}),$ Generate the moving data h (Kx that removes of body ²+ Ky ²+ Kz ²), export to synthesis unit 62.

Synthesis unit 62 plays the function of removing processing unit, and the pulse wave of last time extracting out is detected data (=pulse wave composition+body moves composition) and the moving data h (Kx that removes of body ²+ Ky ²+ Kz ²) synthesize, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract pulse wave ingredient e (n) out.

According to this 3rd variation, can obtain the effect identical, simultaneously owing to do not use pseudo-low frequency signal, so the further simplification of implement device structure and processing with the 1st variation.

[1.4] the 4th variation

This 4th variation is to adopt the variation of the structure of not using pseudo-low frequency signal in the 1st embodiment.

Figure 41 is the summary block diagram of an example of the sef-adapting filter of the 1st embodiment.

If roughly divide sef-adapting filter 70, have: filter factor generation unit 71 and synthesis unit 72.

The coefficient control unit 71A of filter factor generation unit 71 plays the moving composition of body and removes unitary function, according to having used the filtered data that synthesis unit 72 was last time exported, generates the adaptive-filtering coefficient h.

The moving composition detection signal of body that the adaptive-filtering coefficient h that filter factor generation unit 71 generates coefficient control unit 71A is applied to be imported be X-axis acceleration detection data Kx (=x), Y-axis acceleration detection data Ky and the Z axle acceleration generated data that detects data Kz be the resultant acceleration vector data (=y), generate moving data h (x), the h (y) of removing of body respectively, export to synthesis unit 72.

Synthesis unit 72 plays the function of removing processing unit, the pulse wave detection data (=pulse wave composition+body moves composition) and moving data h (x), the h (y) of removing of body that last time extracted out are synthesized, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract pulse wave ingredient e (n) out.

According to this 4th variation, can obtain the effect identical, simultaneously owing to do not use pseudo-low frequency signal, so the further simplification of implement device structure and processing with the 1st embodiment.

[1.5] the 5th variation

In the above description, at the resultant acceleration vector data of calculating after X-axis acceleration information Kx, Y-axis acceleration information Ky and these 3 acceleration informations of Z axle acceleration data Kz are synthesized $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ Or the resultant acceleration vector data after Y-axis acceleration detection data Ky and these 2 acceleration informations of Z axle acceleration data Kz are synthesized $(=\sqrt{{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+{\mathrm{Kz}}^2})$ The time, do not carry out any weighting, but can be the structure that the acceleration information as the basis of each resultant acceleration vector data is carried out suitable weighting yet.

For example, when utilizing X-axis acceleration information Kx, Y-axis acceleration information Ky and these 3 acceleration informations of Z axle acceleration data Kz to obtain the resultant acceleration vector data, also can use following formula.

$\sqrt{a\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="Kx"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kx</figure-callout>}}^2+b\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="Ky"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Ky</figure-callout>}}^2+c\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="Kz"\; filenames="C20061014686300641.png,C20061014686300652.png"\; state="\{\{state\}\}">Kz</figure-callout>}}^2}$

Wherein, a＞b 〉=c＞0

In addition,, also can carry out suitable weighting equally, and use the adaptive-filtering coefficient X-axis acceleration information Kx, Y-axis acceleration information Ky and Z axle acceleration data Kz even in the occasion of not using the resultant acceleration vector data.

In addition, also can be weighted pseudo-low frequency signal.

Situation when on arm 3 axle acceleration sensors being installed more than has been described, but also can be located at finger root and finger front end.

[2] the 2nd embodiments

This 2nd embodiment is the embodiment that replaces 3 axle acceleration sensors of the 1st embodiment with pressure transducer.

[2.1] principle

At first, before specifying the 2nd embodiment, the operation principle of the 2nd embodiment is described.

Be used for detecting the output of the pulse sensor of pulse wave, except that the pulse wave composition, also comprise the moving composition of various bodies.The moving composition of this body is known be result from the pulse person to be measured be user motion (walking, run action, arms swing etc.), owing to the variation of organism inside produces.

Therefore, when acceleration transducer is moved the pick off of composition as detection bodies, though can detect the motion of user, but since in the output of pulse sensor the moving composition of the body that comprises be result from this motion, because the variation of organism inside produces, move composition so be difficult to accurately detect the real body that comprises in the output of pulse sensor.

On the other hand, as by the moving composition of the inner body that produces of organism,, can not ignore the influence of venous blood as the composition that the optical sensor as pulse sensor is had the greatest impact.

, the extensibility of known because wall of vein is big, and wall of vein elongates when increased blood pressure, has a large amount of blood in this part, is attended by the phenomenon that the pressure of surface expands and increases with vein.

Thereupon, inventors have studied the relation of the moving component (component of beating) of body that comprises in the output of the pressure variety of the surface when making generation with the moving composition of one and pulse sensor.

Figure 42 is the key diagram that concerns of the moving component (component of beating) of the body that comprises in the output of pressure variety and pulse sensor.

As shown in figure 42, the moving component (component of beating) of the body that comprises in the output of pressure variety and pulse sensor as can be known has the relation that roughly is directly proportional.

In other words, if pressure variety that can the detection bodies surface then can be inferred the amount of influence of the venous blood that comprises in the output of pulse sensor.

In this 2nd embodiment, utilize outside pressure transducer to detect the moving composition of body that venous expands, promptly causes because of vein, it is deducted from the output of pulse sensor with the regulation ratio simultaneously, thereby accurately detect Pulse Rate according to the signal of the influence of having removed venous blood.

[2.2] describe in detail

Below, describe the 2nd embodiment in detail.

Figure 43 is the summary structure chart of the pulse measuring system of the 2nd embodiment.

If roughly divide pulse measuring instrument 80, have: be worn on the sensor assembly 81 on the user finger; Be connected with sensor assembly 81 by wiring L and be worn on apparatus main body 82 on the user arm.

Figure 44 is the ios dhcp sample configuration IOS DHCP key diagram of each pick off of sensor assembly.

If roughly divide sensor assembly, its structure has: the pulse sensor 83 that mainly detects the pulse wave composition; Pressure transducer 84 with the moving composition of main detection bodies.

Wherein, pulse sensor 83 has: penetrate and detect the LED83A that uses up; With the PD (photodetector) that accepts to use up from the detection that human body reflects.

Figure 45 is the summary block diagram of pulse measuring instrument.

If roughly divide pulse measuring instrument 80, have: aforesaid pulse sensor 83 and body dynamic sensor 84; And pulse wave signal amplifying circuit 91; Body moves signal amplification circuit 92; A/D translation circuit 93; MPU94; RAM95; ROM96; With display devices 97 such as liquid crystal indicators.

In this 2nd embodiment, body dynamic sensor 84 is to use pressure transducer.

Pulse wave signal amplifying circuit 91 amplifies from the pulse wave detection signal of pulse sensor 83 outputs with the amplification of regulation, and exports to A/D translation circuit 93 as amplifying the pulse wave detection signal.

The moving signal amplification circuit 92 of body amplifies from the pressure detecting signal of body dynamic sensor 84 outputs with the amplification of regulation, and exports to A/D translation circuit 93 as amplifying pressure detecting signal.

A/D translation circuit 93 carries out analog/digital conversion to amplification pulse wave detection signal of being imported and amplification pressure detecting signal respectively separately, and exports to MPU94 as pulse wave detection data and pressure detecting data.

Pulse wave is detected data to MPU94 and pressure detecting data (the moving data that detect of body) are stored among the RAM95, calculates Pulse Rate according to the control sequence that is stored in ROM96 simultaneously, and be presented in the display device 97.

Particularly, pulse wave among the RAM95 detects data to MPU94 and pressure detecting data (the moving data that detect of body) are arranged by the time sequence order being stored in, and is difference data to obtaining both difference that pulse wave detects data and pressure detecting data pairing each sample time.

Then, carry out the frequency analysis (FFT: fast fourier transform), extract the harmonic components of pulse wave out, calculate Pulse Rate of this residual error data according to its frequency.

Below, specify Pulse Rate and calculate processing.

Figure 46 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 47 be the pulse wave of corresponding Figure 46 is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

At first, MPU94 calls over the pulse wave that is stored among the RAM95 and detects data and pressure detecting data, deducts the pressure detecting data of same sample time from the pulse wave detection data of certain sample time, thereby calculates difference data.

Figure 48 is the curve chart that the difference data that the pressure detecting data that detect data and Figure 47 according to the pulse wave of Figure 46 are calculated is arranged by the time sequence order.

Then, MPU94 carries out FFT to difference data.

Figure 49 is that the difference data to Figure 48 carries out FFT and the frequency analysis result that obtains.

Like this, resulting frequency analysis result has removed the moving composition of body of vein cause in fact from the output signal (pulse wave composition+body moves composition) of pulse sensor, promptly form the pulse wave data that are primarily aimed at the pulse wave composition.

MPU94 as the pulse wave spectrum, calculates Pulse Rate to the peak frequency composition in the resulting pulse wave data according to its frequency.

Then, MPU94 is shown in the pulse digital display in the display device 97.

As mentioned above, according to this 2nd embodiment, can detect the vein fluctuation that assurance is main cause with the moving composition of the inner body that produces of organism reliably by the working pressure pick off.Therefore, can reliably remove the moving composition of body, carry out pulse wave composition detection exactly, and then can measure Pulse Rate accurately.

[2.3] the 1st variation

Below, the 1st variation of the 2nd embodiment is described.

More than Shuo Ming structure is, carry out frequency analysis (FFT) before, detecting the data from pulse wave and deduct the pressure detecting data, calculating difference data, but this 1st variation is pulse wave to be detected data and pressure detecting data carry out calculating the variation of difference data after the frequency analysis.Below the 1st variation will be described.

In this 1st variation, MPU94 carries out frequency analysis (FFT) to the pulse wave detection data and the pressure detecting data (the moving data that detect of body) that are stored among the RAM95 respectively.

Then, to obtain the difference that pulse wave after the frequency analysis detects the pressure detecting data after data and the frequency analysis be difference data to MPU94.

From resulting difference data, extract the harmonic components of pulse wave out, calculate Pulse Rate according to its frequency.

Below, specify Pulse Rate and calculate processing.

Figure 50 is the key diagram that pulse wave detects the data frequency analysis result.

Figure 51 is the key diagram of pressure detecting data frequency analysis result.

At first, MPU94 calls over the pulse wave that is stored among the RAM95 respectively and detects data and pressure detecting data, and carries out FFT, carries out frequency analysis.

Figure 52 is that the difference that the pulse wave after the frequency analysis detects the pressure detecting data after data and the frequency analysis is the key diagram of difference data.

Then, the pulse wave after the MPU94 comparison frequency is analyzed detects the pressure detecting data after data and the frequency analysis, obtains the poor of same frequency content, generates difference data.

Like this,, from the output signal (pulse wave composition+body moves composition) of pulse sensor, removed the moving composition of the body that causes because of vein in fact, promptly become the pulse wave data that are primarily aimed at the pulse wave composition as the frequency analysis result of resulting difference data.

MPU94 as the pulse wave spectrum, calculates Pulse Rate to the peak frequency composition in the resulting pulse wave data according to its frequency.

Then, MPU94 is shown in the pulse digital display in the display device 97.

As mentioned above, the 1st variation of this 2nd embodiment also can detect the vein fluctuation that assurance is main cause with the moving composition of the inner body that produces of organism reliably.Therefore, can reliably remove the moving composition of body, carry out pulse wave composition detection accurately, and then can measure Pulse Rate accurately.

[2.4] the 2nd variation

Below, the 2nd variation of the 2nd embodiment is described.

More than Shuo Ming structure is, before or after carrying out frequency analysis (FFT), from pulse wave detects data, deduct the pressure detecting data, calculate difference data, but this 2nd variation is to use adaptive-filtering to detect variation when removing the moving composition of body the data from pulse wave.

Figure 53 is the summary block diagram of an example of sef-adapting filter.

If roughly divide sef-adapting filter 100, have filter factor generation unit 101 and synthesis unit 102.

Filter factor generation unit 101 plays the moving composition of body and removes unitary function, according to having used the filtered data that synthesis unit 102 was last time exported, generates the adaptive-filtering coefficient h.The pressure detecting data (=k (n)) of the function that plays the moving composition detection signal of body that the adaptive-filtering coefficient h is applied to be imported generate that body is moving removes data (=hk (n)), and export to synthesis unit 102.

Synthesis unit 102 plays the function of removing processing unit, the pulse wave detection data (=pulse wave composition+body moves composition) and the moving data of removing of body of last time extracting out are synthesized, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract the pulse wave composition out.

Below, the Pulse Rate that specifies this 2nd variation is calculated processing.

Figure 54 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 55 be the pulse wave of corresponding Figure 54 is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

At first, MPU94 calls over the pulse wave that is stored among the RAM95 and detects data and pressure detecting data, and the pulse detection data in the sample time are exported to synthesis unit 102.

MPU94 exports to filter factor generation unit 101 to the pressure detecting data that detect data corresponding to the pulse wave of exporting to synthesis unit 102.

Like this, filter factor generation unit 101 generates the adaptive-filtering coefficient h according to having used the filtered data that synthesis unit 102 was last time exported.The pressure detecting data (=k (n)) of the function that plays the moving composition detection signal of body that the adaptive-filtering coefficient h is applied to be imported are exported to synthesis unit 102 to the moving data (=hk (n)) of removing of body.

Thus, synthesis unit 102 synthesizes this pulse wave data and the moving data of removing of body, detects the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extracts the pulse wave composition out, output residual error data (=used filtered data).

Figure 56 is applied to the pulse wave detection data of Figure 54 and the pressure detecting data of Figure 55 to adaptive-filtering, the curve chart of resulting residual error data by time sequence order arrangement.

Then, MPU94 carries out FFT to residual error data.

Figure 57 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 56.

Like this, resulting frequency analysis result has removed the moving composition of the body that causes because of vein in fact from the output signal (pulse wave composition+body moves composition) of pulse sensor, promptly become the pulse wave data that are primarily aimed at the pulse wave composition.

MPU94 as the pulse wave wave spectrum, calculates Pulse Rate to the peak frequency composition in the resulting pulse wave data that mainly contain the pulse wave composition according to its frequency.

MPU94 is shown in the pulse digital display in the display device 97.

As mentioned above, the 2nd variation of this 2nd embodiment also can detect the vein fluctuation that assurance is main cause with the moving composition of the inner body that produces of organism reliably.Therefore, can reliably remove the moving composition of body, carry out pulse wave composition detection accurately, and then can measure Pulse Rate accurately.

[2.5] the 3rd variation

Below, the 3rd variation of the 2nd embodiment is described.

More than explanation is the situation of sensor assembly when having pulse sensor and pressure transducer, but this 3rd variation is that module sensors is divided into two, the variation when pulse sensor and pressure transducer are worn on finger respectively and go up.

Figure 58 is the summary block diagram of pulse measuring system of the 3rd variation of the 2nd embodiment.

If roughly divide pulse measuring instrument 110, have: be worn on the module sensors 111A that the 1st of user is pointed; Be worn on the module sensors 111B that the 2nd of user is pointed; With apparatus main body 112,,, and be worn on the user arm by wiring L2 link block pick off 111B by wiring L1 link block pick off 111A.

Figure 59 is the ios dhcp sample configuration IOS DHCP key diagram of the pick off of sensor assembly 111A.

Sensor assembly 111A has the pressure transducer 84 of the moving composition of main detection bodies.

Figure 60 is the ios dhcp sample configuration IOS DHCP key diagram of the pick off of sensor assembly 111B.

Sensor assembly 111B has the pulse sensor 83 of main detection pulse wave composition, and pulse sensor 83 has: penetrate and detect the LED83A that uses up; With PD (photodetector) 83B that accepts to use up from the detection that human body reflects.

About the actual detected action, identical with the 2nd above-mentioned embodiment, so detailed.

According to this 3rd variation, on the difference finger, wear the pressure transducer 84 and the main pulse sensor 83 that detects the pulse wave composition of the moving composition of main detection bodies respectively, test, thus can reduce the opposing party's pick off mechanical arrangements influence and because of the opposing party's signal of sensor cause to noise effect of output signal etc.

[3] the 3rd embodiments

[3.1] principle

At first, before specifying the 3rd embodiment, the operation principle of the 3rd embodiment is described.

The structure of above-mentioned the 2nd embodiment is to move composition in order to detect the body that causes because of venous blood, and utilizes pressure transducer to detect the pressure of venous blood.But this 3rd embodiment is the embodiment that the pressure that is conceived to the relative mistake of short transverse of wearing position of the cardiac position of user and sphygmometer and vein meter has proportional relation.Promptly, this the 3rd embodiment be the relative mistake of the short transverse of the wearing position of the cardiac position of user and sphygmometer as the shoulder joint with the arm of having worn sphygmometer be the center angle (for example, arm towards under be 0 ° when sagging, when arm is the level of state be 90 °), the embodiment when detecting.

Thereupon, inventors have studied the relation of the moving component (component of beating) of body that comprises in the output of (arm) high variable quantity when making generation with the moving composition of one and pulse sensor.

Figure 61 is the key diagram that concerns of the moving component (component of beating) of body that comprises in the output of the high variable quantity of arm and pulse sensor.

Shown in Figure 61, the moving component (component of beating) of the body that comprises in the output of the high variable quantity of arm and pulse sensor has the relation that roughly is directly proportional as can be known.

In other words, if can detect the high variable quantity of arm, then can infer the amount of influence of the venous blood that comprises in the output of pulse sensor.

Figure 62 be arm angle and direction concern key diagram.

In this 3rd embodiment, arm towards under be made as angle=0 °, direction of arm=down when sagging; When being the level of state, arm is made as angle=90 °, the direction=placed in the middle of arm; Arm towards directly over be made as angle=180 °, direction of arm=up when lifting.

In addition, arm towards under when sagging and arm when being the level of state in the middle of and direction during towards arm be made as oblique down, when arm is the level of state and arm towards directly over when lifting centre and the direction during towards arm be made as obliquely.

Figure 63 is in the arm position (orientation arm) under the original state, the high variable quantity of arm position and as the key diagram that concerns of the moving component (component of beating) of body of the output of angular transducer.

Shown in Figure 63, when the short transverse position of the arm under original state is lower than the cardiac position of user as can be known, be that orientation arm is from down when placed in the middle, even when changing the height of arm position, an arm direction in office, the output of angular transducer are that the variation of the moving component (component of beating) of body all shows same tendency.

On the other hand, when also the short transverse position of the arm under original state is higher than the cardiac position of user as can be known, be that orientation arm is from obliquely to up the time, follow the pressure of venous blood to reduce, have the whole tendency that reduces as the moving component (component of beating) of body of the output of angular transducer.

Figure 64 is high variable quantity fixedly the time, as the variation key diagram of the moving component (component of beating) of body of the output of the angular transducer that changes because of the arm position.

Shown in Figure 64, as can be known in the arm angle during greater than 90 °, the moving component of body that detects as the output of angular transducer diminishes.

According to these results, during greater than 90 °, the output of angular transducer is proofreaied and correct in the arm angle.

Figure 65 is in the arm position (orientation arm) under the original state, the high variable quantity of arm position and proofread and correct after the output of angular transducer in the moving component (component of beating) of body that comprises concern key diagram.

During this occasion, in Figure 63 example shown, in the arm angle during, the angle X by arm, utilized following formula correction corresponding to moving component (component of the beating) Y of body of the output of angular transducer greater than 90 °.

Y＝y·(X-90)/22.2

Wherein, y: high variable quantity (mV)

X: angle (degree)

Y: the high variable quantity after the correction (mV)

As a result, shown in Figure 65, can under the state that not influenced by the arm position, detect the moving component (component of beating) of the body that comprises in the output of pulse sensor.

Therefore, in this 3rd embodiment, the relative mistake of the short transverse of the cardiac position of the angular transducer detection user that utilization is outside and the wearing position of sphygmometer, from the output of pulse sensor, deduct the moving composition of the body that causes because of vein with the regulation ratio, thereby can accurately detect Pulse Rate according to the signal of having removed the venous blood influence.

[3.2] describe in detail

Below, describe the 3rd embodiment in detail.

Figure 66 is assembled to profile in the clock and watch shell to the sphygmometer of the 3rd embodiment.

In the example shown, be provided with pulse sensor 83 and angular transducer 122 at the back side of the clock and watch shell 121 of pulse measuring instrument 120.

Shown in Figure 66, above-mentioned pulse sensor unit 83 forms as one in the rear side and the main body of clock and watch shell 121.Be provided with at clock and watch shell 121 and be used for it is worn on watchband 123 on the arm, watchband 123 is wrapped in when wearing on the wrist, the rear side of clock and watch shell 121 is close to the wrist back.

Rear side at clock and watch shell 121 is provided with the clear glass 83C that constitutes pulse sensor unit 83.This clear glass 83C is fixed on the clock and watch shell 121 by bonnet 124.Clear glass 83C protection constitutes the LED83A and the PD83B of pulse sensor 83, sees through the irradiates light of LED83A simultaneously, by the resulting reflected light of organism, makes and incides PD83B.

Face side at clock and watch shell 121 is provided with display devices 97 such as liquid crystal indicator, except that showing current time and date, also shows the Biont informations such as Pulse Rate HR based on the testing result of pulse sensor 83.

In the inside of clock and watch shell 121, be provided with various IC circuit such as CPU at the upside of main substrate 126, the composition data treatment circuit 127 thus.

Rear side at main substrate 126 is provided with battery 128, from battery 128 to display device 97, main substrate 126, and pulse sensor 83 power supply is provided.

Main substrate 126 is connected by heat seal 129 with pulse sensor 83.Like this, the wiring that utilizes heat seal 129 to form provides power supply from main substrate 126 to pulse sensor 83 and angular transducer 122, provides the pulse wave detection signal from pulse sensor 83 to main substrate 126, provides angle detection signal from angular transducer 122.

127 pairs of pulse wave signals of data processing circuit carry out FFT to be handled, and by analyzing its result, calculates Pulse Rate HR.In addition, the lateral surface at clock and watch shell 121 is provided with not shown press buttones such as being used to carry out time adjustment and display mode switching.

When being worn on watchband 123 windings on the wrist, the back side surface of clock and watch shell 121 is to the wrist back.So, being radiated at the wrist back from the light of LED83A by clear glass 83C5, its reflected light incides PD83B and is accepted.

Figure 67 is the sensor construction sketch plan when differential capacitor type pick off is used as angular transducer.

Figure 68 is the partial enlarged drawing that does not apply the differential capacitor type pick off under the state of acceleration.

Differential capacitor type acceleration transducer 122A is the diaxon angular transducer, has the 1st axes of sensitivity LX1 and the 2nd axes of sensitivity LX2.

The a pair of fixed axis 131 of differential capacitor type acceleration transducer 122A is supporting has flexible each stay 132.A pair of stay 132 beam 133 from supported on both sides.

At each beam 133 the electrode 133A that projection is located at the side is set.This electrode 133A is maintained on a pair of fixedly lateral electrode 134A, 134B apart from each fixing roughly the same position of distance of lateral electrode 134A, 134B, and fixedly lateral electrode 134 is relative with each.

Like this, fixedly lateral electrode 134A, 134B play the function of the electric capacity that roughly has same capability respectively for electrode 133A and each.

Figure 69 is the figure of local specification that has applied the differential capacitor type pick off under the state of acceleration.

Under state shown in Figure 68, if differential capacitor type acceleration transducer 122A tilts, then stay 132 is crooked because of acceleration of gravity, forms state shown in Figure 69.

As a result, when for example being situation shown in Figure 69, electrode 133A and and fixedly lateral electrode 134A apart from G1 greater than electrode 133A and fixedly lateral electrode 134B apart from G2.That is, by electrode 133A and fixedly the capacitance that constitutes of lateral electrode 134B become big.

Therefore, the size of this capacity difference and acceleration of gravity, be that the angle of inclination is directly proportional, so can detection angles by the test capacity difference.

Figure 70 is the front elevation as the rotation plektron angular transducer of angular transducer.

Figure 71 is the side view of the rotation plektron angular transducer of Figure 70.

If roughly divide rotation plektron angular transducer 122B, have: back shaft 141; Supporting rotatable rotary hammer 142 by back shaft 141; In the time of with rotary hammer 142 rotations, be formed with the grooving plate 143 of two kinds of different grooving groups of phase place; The fixing head 144 that keeps back shaft 141; With the optical sensor unit 145 that is configured in the position relative with grooving plate 143 on the fixing head 144.

According to said structure, rotary hammer 142 changes according to angle and rotates the angle detection signal that optical sensor unit 145 has the umber of pulse of the rotation amount that is equivalent to grooving plate 143 to each grooving group output.At this moment, the phase relation of the angle detection signal of each grooving group is different on the direction of rotation of rotary hammer, so change direction that also can detection angles.

Below, the Pulse Rate that specifies the 3rd embodiment is calculated processing.

Figure 72 is the curve chart of an example when pulse wave is detected data and arranges by the time sequence order.Figure 73 detects that data are carried out FFT and the frequency analysis result that obtains to the pulse wave of Figure 72.Figure 74 is the curve chart of an example when angle is detected data and arranges by the time sequence order.Figure 75 detects that data are carried out FFT and the frequency analysis result that obtains to the angle of Figure 74.

The structure of pulse measuring instrument is identical with the 2nd embodiment, so describe with reference to the summary block diagram of Figure 45.At this moment, body dynamic sensor 84 is angular transducers.MPU94 is used for realizing the function of the adaptive-filtering shown in Figure 53.

At first, MPU94 calls over the pulse wave that is stored among the RAM95 and detects data and angle detection data, and the pulse detection data in certain sample time are exported to synthesis unit 102.

MPU94 detects data to the angle that detects data corresponding to each pulse wave and exports to filter factor generation unit 101.

Like this, filter factor generation unit 101 generates the adaptive-filtering coefficient h according to having used the filtered data that synthesis unit 102 was last time exported.The view of function that plays the moving composition detection signal of body that the adaptive-filtering coefficient h is applied to be imported detects data (=k (n)), and the moving data (=hk (n)) of removing of body are exported to synthesis unit 102.

Thus, synthesis unit 102 synthesizes this pulse wave data and the moving data of removing of body, detects the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extracts the pulse wave composition out, output residual error data (=use filtered data).

Figure 76 is applied to the pulse wave detection data of Figure 72 and the angle detection data of Figure 74 to adaptive-filtering, the curve chart of resulting residual error data by time sequence order arrangement.

MPU94 carries out FFT to the residual error data of Figure 76 then.

Figure 77 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 76.

Like this, resulting frequency analysis result has removed the moving composition of the body that causes because of vein in fact from the output signal (pulse wave composition+body moves composition) of pulse sensor, promptly form the pulse wave data that are primarily aimed at the pulse wave composition.

MPU94 as pulse wave wave spectrum SP1, calculates Pulse Rate to the peak frequency composition in the resulting pulse wave data that mainly contain the pulse wave composition according to its frequency.

MPU94 is shown in the pulse digital display in the display device 97.

But more than explanation is the situation of the output of angular transducer not being done timing, as mentioned above, when the angle of arm is higher than 90 °, detects the moving component of body of less output as angular transducer.Therefore, when the angle of arm is higher than 90 °, the output of angular transducer is proofreaied and correct.Figure 78 detects the curve chart of data by an example of time sequence order arrangement to the angle after proofreading and correct.Figure 79 detects that data are carried out FFT and the frequency analysis result that obtains to the angle after the correction of Figure 78.

Equally, MPU94 calls over the pulse wave that is stored among the RAM95 and detects data and angle detection data, pulse detection data in certain sample time are exported to synthesis unit 102, the angle after the correction of corresponding each pulse wave detection data is detected data export to filter factor generation unit 101.

Like this, filter factor generation unit 101 generates the adaptive-filtering coefficient h according to having used the filtered data that synthesis unit 102 was last time exported.The view of function that plays the moving composition detection signal of body that the adaptive-filtering coefficient h is applied to be imported detects data, to the moving data (=hk (n)) of removing of synthesis unit 32 output bodies, synthesis unit 32 synthesizes this pulse wave data and the moving data of removing of body, detect the moving composition of the body that comprises the data from removing (deducting) this ripple of chanting in fact, extract the pulse wave composition out, output residual error data (=used filtered data).

Figure 80 detects data to the angle that the pulse wave that sef-adapting filter is applied to Figure 72 detects after the correction of data and Figure 78, the curve chart of resulting residual error data by time sequence order arrangement.

MPU94 carries out FFT to this residual error data then.

Figure 81 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 80.

Shown in Figure 81, the peak height of pulse wave spectrum SP1 among the resulting as can be known frequency analysis result and the frequency analysis result shown in Figure 77 do not change, but the peak height that has suppressed other wave spectrums, MPU94 feels the pulse peak frequency composition in the wave datum as pulse wave spectrum SP1, can calculate Pulse Rate more reliably according to its frequency.

As mentioned above, according to this 3rd embodiment, the vein fluctuation that is main cause with the moving composition of the inner body that produces of organism in the time of can further detecting assurance reliably and particularly carried out angle correct.Therefore, can reliably remove the moving composition of body, carry out pulse wave composition detection accurately, and then can measure Pulse Rate accurately.

The variation of [4] the 2nd embodiments and the 3rd embodiment

[4.1] the 1st variation

Near above being pulse sensor or body dynamic sensor (pressure transducer or angular transducer) is set respectively of explanation is configured in structure on the pulse sensor to the body dynamic sensor but also can be formed on the direction of leaving human body with roughly stacked state.

[4.2] the 2nd variation

More than explanation is to have stored the situation of control with program in advance in ROM96, but also can form control is recorded in the recording mediums such as various disks, CD, storage card the structure that reads and install in advance with program from these recording mediums.In addition, also can form communication interface is set, by the control of network download such as the Internet, LAN program, the structure of installing then and carrying out.

[5] the 4th embodiments

[5.1] principle

At first, before specifying the 4th embodiment, the operation principle of the 4th embodiment is described.

Be used for detecting the output of the pulse sensor of pulse wave, except that the pulse wave composition, also comprise the moving composition of various bodies.The moving composition of this body is known to be that to result from the pulse person to be measured be that the variation owing to organism inside of the motion (walking, run action, arms swing etc.) of user produces.As the method for the moving composition of the body of detection of biological body inside, as mentioned above, using from light-emitting component is that LED detects light to the organism internal irradiation, and utilizing photo detector is that PD (photodetector) accepts this catoptrical method.

During this occasion, the detection light that shines organism inside is flow through, and near the skin thin arteriovenous blood and bio-tissue absorbs, scattering, be not attended by under the moving rest state of body, in the light quantity variation by the detection light that PD accepted, what account for the dominant trait status is the variation of the arterial blood that forms because of pulsation, and the extinction composition that forms because of venous blood, tissue is roughly certain.

But, under being attended by the moving kinestate of body (during walking, when running etc.), except that the variation of the arterial blood that forms because of pulsation, also and body is moving produces flowing and change such as metaplasia of the venous blood that forms because of inertia synchronously.

As a result, the extinction, the reflection characteristic that shine the detection light of organism inside change, and are accepted at PD, can not ignore its influence.

On the other hand, when the watchband (for example supporter) that utilization has a retractility is worn on the pick off of the moving composition of detection bodies on the surface of user with pressed state, owing to suppressed changes such as metaplasia, under this situation, mainly detect moving of venous blood.

Therefore,, when removing the moving composition of biological intravital body, be conceived to moving of venous blood, infer that by flowing of venous blood of simulation body move composition, move composition so that from the output signal of pulse sensor, remove this body at this 4th embodiment.

Figure 82 is mounted in and simulates the principle key diagram that venous blood moves the blood vessel simulation sensor of (flowing) on the human body.

Venous blood is compared with arterial blood, and blood pressure is low, so be subjected to the The Effect of Inertia Force that forms because of gravity and arms swing easily.

So, shown in Figure 82, in the cylindric hermetic container position of the blood vessel of simulating distal direction, enclose liquid LQ with certain viscosity, if move (flowing) from this liquid of visual observation, can infer move (the flowing) of venous blood, can move composition by the inner body that produces of organism according to the mobile observation of the venous blood of being inferred.

Therefore,, move, thereby can detect by the moving composition of the inner body that produces of organism according to this signal of sensor by the liquid that is sealing in the cylindric hermetic container with sensor such as pressure transducer, optical pickocffs at this 4th embodiment.

As a result, according to this 4th embodiment, can be according to removing quiet signal reliable detection Pulse Rate of chanting the influence of blood.

[5.2] blood vessel simulation sensor

Below, the version of blood vessel simulation sensor is described.

As the version of blood vessel simulation sensor, can roughly divide rigid body type, elastomeric-type, acceleration sensing type.

The rigid body type is to have enclosed the pick off of the liquid with viscosity of the demonstration flow phenomenon identical with blood in having inflexible cylindric hermetic container.

On the other hand, elastomeric-type is to stop up rubber-like pipe two ends, and that has enclosed the demonstration flow phenomenon identical with blood in pipe has viscosity (for example a, pick off of 1～100cP) liquid.

Figure 83 is the sketch map of the 1st rigid body type blood vessel simulation sensor.

Blood vessel simulation sensor 150 have two ends blocked resin (plastics) system housing 151, to its inner pseudo-blood of enclosing for the setting viscosity of the flow phenomenon identical of demonstration this housing 151 in 152 with venous blood.In addition, be provided with that detected pressures is followed moving of pseudo-blood 152 and the pressure transducer (current detection sensing) 153 that changes at length direction one end of housing 151.

Figure 84 is the sketch map of the 2nd rigid body type blood vessel simulation sensor.

Blood vessel simulation sensor 160 have two ends blocked resin (plastics) system housing 161, to its inner pseudo-blood of enclosing for the setting viscosity of the flow phenomenon identical of demonstration this housing 161 in 162 with venous blood.The optical pickocff (current detection sensing) 163 of the mobile status that detects pseudo-blood 162 is set at the sidewall of housing 161 in addition.This optical pickocff 163 has: the LED164 of irradiating and detecting light and acceptance detect the PD165 of light.

At this moment, pseudo-blood 162 is painted to the color identical with detecting light color, and optical pickocff 163 detects the variation of liquid level state.

Figure 85 is the sketch map of the 1st elastomeric-type blood vessel simulation sensor.

Blood vessel simulation sensor 170 have two ends blocked elastic resin systems such as rubber housing 171, to its inner pseudo-blood of enclosing for the setting viscosity of the flow phenomenon identical of demonstration this housing 171 in 172 with venous blood.In addition, be provided with that detected pressures is followed moving of pseudo-blood 172 and the pressure transducer (current detection sensing) 173 that changes at length direction one end of housing 171.

Figure 86 is the sketch map of the 2nd elastomeric-type blood vessel simulation sensor.

Blood vessel simulation sensor 180 have two ends blocked elastic resin systems such as rubber housing 181, to its inner pseudo-blood of enclosing for the setting viscosity of the flow phenomenon identical of demonstration this housing 181 in 182 with venous blood.In addition, be provided with that detected pressures is followed moving of pseudo-blood 182 and the pressure transducer (current detection sensing) 183 that changes at the sidewall of housing 181.

The acceleration sensing type is that the distal direction at Figure 82 is had the acceleration transducer of sensitive direction as blood vessel simulation sensor.

Below, illustrate that body that rigid body type and elastomeric-type blood vessel simulation sensor and pulse sensor with other detect moves the relation of composition (jitter components).

Figure 87 is the key diagram that concerns of the moving composition (jitter components) of the body that comprises in the output of rigid body type blood vessel simulation sensor and pulse sensor.

Shown in Figure 87, the size of the moving composition (jitter components) of the body that comprises in the output of the output of rigid body type blood vessel simulation sensor and pulse sensor has the dependency relation that roughly is directly proportional as can be known.

Figure 88 is the key diagram that concerns of the moving composition (jitter components) of the body that comprises in the output of elastomeric-type blood vessel simulation sensor and pulse sensor.

Shown in Figure 88, the output of elastomeric-type blood vessel simulation sensor is identical with the output of rigid body type blood vessel simulation sensor as can be known, has the dependency relation that roughly is directly proportional with the size of the moving composition (jitter components) of the body that comprises in the output of pulse sensor.

Therefore, if be that the moving composition of body that forms because of moving of venous blood is a prerequisite with what account for the dominant trait status in the moving composition (jitter components) of the body that comprises in the output of pulse sensor as can be known, the body that then uses arbitrary blood vessel simulation sensor to infer to comprise in the output of pulse sensor moves component.

[5.3] describe in detail

Below, describe the 4th embodiment in detail.

Figure 89 is the summary structure chart of the pulse measuring system of the 4th embodiment.

If roughly divide pulse measuring instrument 190, have: be worn on the sensor assembly 191 on the user finger; Be connected with sensor assembly 191 by wiring LN and be worn on apparatus main body 192 on the user arm.

Figure 90 is an ios dhcp sample configuration IOS DHCP key diagram of wearing each pick off of the sensor assembly under the state.

If roughly divide sensor assembly 191, its structure has: the pulse sensor 83 that mainly detects the pulse wave composition; Above-mentioned the 1st rigid body type blood vessel simulation sensor 150 with the moving composition of main detection bodies.

During this occasion, the 1st rigid body type blood vessel simulation sensor 150 be configured in pulse sensor 83 near, simultaneously to leave the roughly stacked state configuration of direction of user (human body) with respect to pulse sensor 83.

Wherein, pulse sensor 83 has: penetrate and detect the LED83A that uses up; With the PD83B that accepts to use up from the detection that human body reflects.

Figure 91 is the summary block diagram of pulse measuring instrument.

If roughly divide pulse measuring instrument, have: above-mentioned pulse sensor 83; Body dynamic sensor 84 (in this 4th embodiment is blood vessel simulation sensor 150); Pulse wave signal amplifying circuit 91; Body moves signal amplification circuit 92; A/D translation circuit 93; MPU94; RAM95; ROM96; With display device 97.

Pulse wave signal amplifying circuit 91 amplifies from the pulse wave detection signal of pulse sensor 83 outputs with the amplification of regulation, and exports to A/D translation circuit 93 as amplifying the pulse wave detection signal.

The moving signal amplification circuit 92 of body amplifies the pressure detecting signal that moves based on pseudo-blood 152 with the amplification of regulation, and export to A/D translation circuit 93 as amplifying pressure detecting signal, this puppet blood 152 is from the 1st rigid body type blood vessel simulation sensor 150 outputs of the function that plays body dynamic sensor 84.

A/D translation circuit 93 carries out analog/digital conversion to amplification pulse wave detection signal of being imported and amplification pressure detecting signal respectively separately, and exports to MPU94 as pulse wave detection data and pressure detecting data.

MPU94 detects data to pulse wave and is stored in the RAM95 corresponding to the pressure detecting data (the moving data that detect of body) from the pressure detecting signal of the 1st rigid body type blood vessel simulation sensor 150 outputs, calculate Pulse Rate according to the control sequence that is stored in ROM96 simultaneously, and be presented in the display device 97.

Particularly, pulse wave among the RAM95 detects data to MPU94 and pressure detecting data (the moving data that detect of body) are arranged by the time sequence order being stored in, and is difference data to obtaining both difference that pulse wave detects data and pressure detecting data pairing each sample time.

Then, carry out the frequency analysis (FFT: fast fourier transform), extract the harmonic components of pulse wave out, calculate Pulse Rate of this difference data according to its frequency.

Below, specify Pulse Rate and calculate processing.

Figure 92 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 93 be the pulse wave of corresponding Figure 92 is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

At first, MPU94 calls over the pulse wave that is stored among the RAM95 and detects data and pressure detecting data, deducts the pressure detecting data of same sample time from the pulse wave detection data of certain sample time, thereby calculates difference data.

Figure 94 is the curve chart that the difference data that the pressure detecting data that detect data and Figure 93 according to the pulse wave of Figure 92 are calculated is arranged by the time sequence order.

Then, MPU94 carries out FFT to difference data.

Figure 95 is that the difference data to Figure 94 carries out FFT and the frequency analysis result that obtains.

Like this, resulting frequency analysis result has removed the moving composition of the body that causes because of vein in fact from the output signal (pulse wave composition+body moves composition) of pulse sensor, promptly become the pulse wave data that are primarily aimed at the pulse wave composition.

MPU94 as pulse wave spectrum PH1, calculates Pulse Rate to the peak frequency composition in the resulting pulse wave data according to its frequency.

Then, MPU94 is shown in the pulse digital display in the display device 97.

As mentioned above, according to this 4th embodiment, can move the vein fluctuation that composition is a main cause according to inferring more reliably from the output signal of blood vessel simulation sensor with the inner body that produces of organism.Therefore, can reliably remove the moving composition of body, carry out accurately the pulse wave composition detection and then can measure Pulse Rate accurately.

In this 4th embodiment, as rigid body type blood vessel simulation sensor, use the 1st rigid body type blood vessel simulation sensor 150 to be illustrated, but also can use the 2nd rigid body type blood vessel simulation sensor 160.

The 1st variation of [5.4] the 4th embodiments

More than Shuo Ming structure is to deduct from pulse wave detects data before corresponding to the pressure detecting data from the pressure detecting signal of the 1st rigid body type blood vessel simulation sensor 150 outputs carrying out frequency analysis (FFT), calculate difference data, but the 1st variation of this 4th embodiment is after carrying out frequency analysis to pulse wave detection data and corresponding to the pressure detecting data of the pressure detecting signal of exporting from the 1st rigid body type blood vessel simulation sensor 150, calculates the variation of difference data.Below the 1st variation will be described.

In this 1st variation, MPU94 detects data and carries out frequency analysis (FFT) corresponding to the pressure detecting data (the moving data that detect of body) of the pressure detecting signal of exporting from the 1st rigid body type blood vessel simulation sensor 150 ripple of chanting that is stored among the RAM95 respectively.

Then, to obtain the difference that pulse wave after the frequency analysis detects the pressure detecting data after data and the frequency analysis be difference data to MPU94.

From resulting difference data, extract the harmonic components of pulse wave out, calculate Pulse Rate according to its frequency.

Below, specify Pulse Rate and calculate processing.

Figure 96 is the key diagram that pulse wave detects the data frequency analysis result.

Figure 97 is the key diagram corresponding to the pressure detecting data frequency analysis result of the pressure detecting signal of exporting from the 1st rigid body type blood vessel simulation sensor 150.

At first, MPU94 calls over the pulse wave that is stored among the RAM95 respectively and detects data and pressure detecting data, and carries out FFT and frequency analysis.

Figure 98 is that the difference that the pulse wave after the frequency analysis detects the pressure detecting data after data and the frequency analysis is the key diagram of difference data.

Then, the pulse wave after the MPU94 comparison frequency is analyzed detects the pressure detecting data after data and the frequency analysis, obtains the poor of same frequency content, generates difference data.

Like this,, from the output signal (pulse wave composition+body moves composition) of pulse sensor, removed the moving composition of the body that causes because of vein in fact, promptly become the pulse wave data that are primarily aimed at the pulse wave composition as the frequency analysis result of resulting difference data.

MPU94 as pulse wave spectrum PH1, calculates Pulse Rate to the peak frequency composition in the resulting pulse wave data according to its frequency.

Then, MPU94 is shown in the pulse digital display in the display device 97.

As mentioned above, the 1st variation of this 4th embodiment is utilized blood vessel simulation sensor can infer more reliably with the inner body that produces of organism and is moved the vein fluctuation that composition is a main cause.Therefore, can reliably remove the moving composition of body, carry out pulse wave composition detection accurately, and then can measure Pulse Rate accurately.

[5.5] the 2nd variation

Below, the 2nd variation of the 4th embodiment is described.

More than Shuo Ming structure is, before or after carrying out frequency analysis (FFT), detect the pressure detecting data that deduct the data corresponding to the pressure detecting signal of exporting from the 1st rigid body type blood vessel simulation sensor 150 from pulse wave, calculate difference data, but the 2nd variation of this 4th embodiment is to use adaptive-filtering to detect the variation of removing the data corresponding to from the moving composition of the body of the pressure detecting signal of blood vessel simulation sensor output the time from pulse wave.

Figure 99 is the summary block diagram of an example of sef-adapting filter.

If roughly divide sef-adapting filter 200, have filter factor generation unit 201 and synthesis unit 202.

Filter factor generation unit 201 plays the moving composition of body and removes unitary function, according to having used the filtered data that synthesis unit 202 was last time exported, generates the adaptive-filtering coefficient h.The adaptive-filtering coefficient h is applied to generate the moving removal of body data (=hk (n)), and export to synthesis unit 202 from the pressure detecting data (=k (n)) of the function that plays the moving composition detection signal of body of blood vessel simulation sensor input.

Synthesis unit 202 plays the function of removing processing unit, the pulse wave detection data (=pulse wave composition+body moves composition) and the moving data of removing of body of last time extracting out are synthesized, detect the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extract the pulse wave composition out.

Below, further specify chanting to fight and figuring out processing of this 2nd variation.

Figure 100 detects the curve chart of data by an example of time sequence order arrangement to pulse wave.

Figure 101 be the pulse wave corresponding to Figure 100 from blood vessel simulation sensor input is detected data the pressure detecting data at one time axle go up the curve chart of arranging by the time sequence order.

At first, MPU94 calls over the pulse wave that is stored among the RAM95 and detects data and pressure detecting data, and the pulse detection data in certain sample time are exported to synthesis unit 202.

MPU94 exports to filter factor generation unit 201 to the pressure detecting data that detect data corresponding to each pulse wave.

Like this, filter factor generation unit 201 generates the adaptive-filtering coefficient h according to having used the filtered data that synthesis unit 202 was last time exported.The adaptive-filtering coefficient h is applied to from the pressure detecting data (=k (n)) of the function that plays the moving composition detection signal of body of blood vessel simulation sensor input, the moving data (=hk (n)) of removing of body are exported to synthesis unit 202.

Thus, synthesis unit 202 synthesizes this pulse wave data and the moving data of removing of body, detects the moving composition of the body that comprises the data from removing (deducting) this pulse wave in fact, extracts the pulse wave composition out, output residual error data (=used filtered data).

Figure 102 detects the pressure detecting data that the blood vessel simulation sensor of data and Figure 101 is exported to the pulse wave that adaptive-filtering is applied to Figure 100, the curve chart of resulting residual error data by time sequence order arrangement.

Then, MPU94 carries out FFT to residual error data.

Figure 103 carries out FFT and the frequency analysis result that obtains to the residual error data of Figure 102.

Like this, resulting frequency analysis result, from the output signal (pulse wave composition+body moves composition) of pulse sensor, remove the body of inferring according to the output of blood vessel simulation sensor that causes because of vein in fact and moved composition, promptly become the pulse wave data that are primarily aimed at the pulse wave composition.

MPU94 as the pulse wave spectrum, calculates Pulse Rate to the peak frequency composition in the resulting pulse wave data that mainly contain the pulse wave composition according to its frequency.

MPU94 is shown in the pulse digital display in the display device 97.

As mentioned above, the 2nd variation of this 4th embodiment can be utilized blood vessel simulation sensor to infer more reliably with the inner body that produces of organism and move the vein fluctuation that composition is a main cause.Therefore, can reliably remove the moving composition of body, carry out pulse wave composition detection accurately, and then can measure Pulse Rate accurately.

[5.6] the 3rd variation

Below, the 3rd variation of the 4th embodiment is described.

More than explanation is the situation of sensor assembly when having rigid body type blood vessel simulation sensor, but the variation that this 3rd variation is a module sensors when having the elastomeric-type blood vessel simulation sensor.

Figure 104 is an ios dhcp sample configuration IOS DHCP key diagram of wearing each pick off of the sensor assembly under the state.

If roughly divide sensor assembly 191A, have: the pulse sensor 83 that mainly detects the pulse wave composition; Above-mentioned the 1st elastomeric-type blood vessel simulation sensor 170 with the moving composition of main detection bodies.

According to this structure, can under more approaching actual venous state, infer reliably by the moving composition of the inner body that produces of organism, can remove the moving composition of body.

In this 3rd variation, as the elastomeric-type blood vessel simulation sensor, use the 1st elastomeric-type blood vessel simulation sensor 170 to be illustrated, but also can use the 2nd elastomeric-type blood vessel simulation sensor 180.

[5.7] the 4th variation

Below, the 4th variation of the 4th embodiment is described.

More than explanation is the situation of sensor assembly when having rigid body type or elastomeric-type blood vessel simulation sensor, but the 4th variation of this 4th embodiment is that sensor assembly has the variation as the acceleration transducer of blood vessel simulation sensor.

Figure 105 is an ios dhcp sample configuration IOS DHCP key diagram of wearing each pick off of the sensor assembly under the state.

If roughly divide sensor assembly 191B, have: the pulse sensor 83 that mainly detects the pulse wave composition; Acceleration transducer 210 with the acceleration of the distal direction shown in main detection Figure 82.

At this moment, as the acceleration transducer 210 of blood vessel simulation sensor be configured in pulse sensor 83 near, simultaneously to leave the roughly stacked state configuration of direction of user (human body) with respect to pulse sensor 83.

Below, the structure of detailed description acceleration transducer 210.

Figure 106 is as acceleration transducer, and the body that comprises in the acceleration of the aftermentioned X-direction when using 3 (X, Y, Z axle) acceleration transducers and the output of pulse sensor moves the key diagram that concerns of composition (jitter components).

Figure 107 is as acceleration transducer, the moving composition (jitter components) of body that comprises in the acceleration of the Y direction when using 3 axle acceleration sensors described later and the output of pulse sensor concern key diagram.

Figure 108 is as acceleration transducer, and the body that comprises in the acceleration of the Z-direction when using 3 described later (X, Y, Z axle) acceleration transducers and the output of pulse sensor moves the key diagram that concerns of composition (jitter components).

Figure 109 is 3 a key diagram.

Shown in Figure 109, X-axis is the axle that extends to the distal direction shown in Figure 82 (finger tip direction), and Y-axis is when being put in palm on the plane, and with the axle on the vertical plane of X-axis, the Z axle is perpendicular to the planar axle that supports palm.

Shown in Figure 106～Figure 108, account for the composition of the X-direction of dominant trait status as can be known in the moving composition of the body that comprises in the output signal of pulse sensor.Therefore, as acceleration transducer 210, if use can only detect X-direction, be the single-axis acceleration sensors of the acceleration of the distal direction shown in Figure 82, then can infer the moving composition of the body that detects by pulse sensor.

[6] the 5th embodiments

In above-mentioned the 4th embodiment, pulse sensor and blood vessel simulation sensor are constituted sensor assembly together, but this 5th embodiment is that body dynamic sensor (blood vessel simulation sensor or acceleration transducer) is assembled to the embodiment on the apparatus main body.

Figure 110 is the outward appearance perspective view of the pulse measuring instrument of the 5th embodiment.Figure 111 is the profile of the sensor assembly of Figure 110.

If roughly divide pulse measuring instrument 220, have: be worn on the sensor assembly 221 on the user finger; Be connected sensor assembly 221 and be worn on apparatus main body 222 on the user arm by wiring LN.

Shown in Figure 111,, has the pulse sensor 83 of main detection pulse wave composition if roughly divide sensor assembly 221.

Wherein, pulse sensor 83 has: penetrate and detect the LED83A that uses up; With the PD83B that accepts to use up from the detection of human body reflection.

Shown in Figure 110, body dynamic sensor (blood vessel simulation sensor or acceleration transducer) 84 is housed in the apparatus main body 222 with the roughly consistent state of its axes of sensitivity and the distal direction (finger tip direction) of human body.

About the concrete action of the 5th embodiment, identical with the 4th embodiment, so omit its detailed description.

As mentioned above, according to this 5th embodiment, on the basis of the effect of the 4th embodiment, because the body dynamic sensor is mounted in the apparatus main body, can utilize the body dynamic sensor to detect slight movements such as finger motion like clockwork, can make the sensor assembly miniaturization, easier wearing, and also improved the usability of wearing of user.

[7] the 6th embodiments

In above-mentioned the 4th embodiment or the 5th embodiment, sensor assembly and apparatus main body are set respectively, and connect, but this 6th embodiment is that sensor assembly is assembled to embodiment in the apparatus main body by wiring.

Figure 112 is assembled to outward appearance perspective view in the clock and watch shell to the pulse measuring instrument 230 of the 6th embodiment.Figure 113 is the profile of the pulse measuring instrument of Figure 112, is the pulse measuring instrument of the 6th embodiment is assembled to profile in the clock and watch shell.

Example when present embodiment is provided with pulse sensor 83 and blood vessel simulation sensor 232 at the back side of clock and watch shell 231.

Shown in Figure 113, above-mentioned pulse sensor 83 and main body are formed at the rear side of clock and watch shell 231 together.Be provided for it is worn on watchband 233 on the arm at clock and watch shell 231, watchband 233 is twined when being worn on the wrist, the rear side of clock and watch shell 231 is closely connected at the wrist back.

The clear glass 83C that constitutes pulse sensor unit 83 is fixed on the rear side of clock and watch shell 231 by bonnet 234.Clear glass 83C protection constitutes the LED83A and the PD83B of pulse sensor 83, sees through the irradiates light of LED83A simultaneously, by the resulting reflected light of organism, makes and incides PD83B.

Face side at clock and watch shell 231 is provided with display devices 97 such as liquid crystal indicator, except that showing current time and date, also shows and chants Biont information such as several HR that fight based on the testing result of pulse sensor 83.

In the inside of clock and watch shell 231, be provided with various IC circuit such as CPU at the upside of main substrate 236, the composition data treatment circuit 237 thus.

Rear side at main substrate 236 is provided with battery 238, provides power supply by 238 pairs of display devices 97 of battery, main substrate 236, pulse sensor 83 and blood vessel simulation sensor 232.

Main substrate 236 is connected by heat seal 239 with pulse sensor 83.Like this, the wiring that utilizes heat seal 239 to form provides power supply by 236 pairs of pulse sensors 83 of main substrate, provides the pulse wave detection signal by pulse sensor 83 to main substrate 236.

237 pairs of pulse wave signals of data processing circuit carry out FFT to be handled, and by analyzing its result, calculates Pulse Rate HR.In addition, the lateral surface at clock and watch shell 231 is provided with not shown press buttones such as being used to carry out time adjustment and display mode switching.

When being worn on watchband 233 windings on the wrist, the back side surface of clock and watch shell 231 is to the wrist back.So, being radiated at the wrist back from the light of LED83A by clear glass 83C, its reflected light is accepted by photodiode 83B.

About the concrete action of the 6th embodiment, identical with the 4th embodiment, so omit its detailed description.

As mentioned above, according to this 6th embodiment, on the basis of the effect of the 4th embodiment, because sensor assembly is assembled in the apparatus main body, so easier wearing.

The variation of [8] the 4th embodiments～the 6th embodiment

More than explanation is to have stored the situation of control with program in advance in ROM96, but also can form control is recorded in the recording mediums such as various disks, CD, storage card the structure that reads and install in advance with program from these recording mediums.In addition, also can form communication interface is set, by the control of network download such as the Internet, LAN program, the structure of installing then and carrying out.

The invention effect

According to the present invention, the moving composition of body that comprises in can reliable detection pulse wave detection signal, according to Pulse wave detection signal behind the moving composition of removal body is calculated Pulse Rate, so can reliably remove by biology The moving composition of the inner body that produces of body, the moving composition of body that particularly produces because of venous blood are determined easily The wave spectrum of corresponding pulse wave composition improves the pulse wave accuracy of detection.

Claims (15)

1. one kind is worn on the sphygmometer of testing pulse on the human body, and this sphygmometer has:

The pulse wave detecting unit has pulse sensor, and output pulse wave detection signal;

The moving composition of body is removed the unit, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal; With

Pulse Rate is calculated the unit, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate,

It is characterized in that,

The moving composition of described body is removed the unit and is had poor detecting unit, and this difference detecting unit detects the relative mistake of short transverse of the wearing position of described wearer's cardiac position and this sphygmometer,

Described poor detecting unit has angular transducer, and this angular transducer is the center with the shoulder joint of the arm of having worn sphygmometer, detects the actual disposition state with respect to the differential seat angle of the benchmark angle of this sphygmometer relative mistake as described short transverse.

2. sphygmometer according to claim 1 is characterized in that, described angular transducer be configured in described pulse sensor near.

3. sphygmometer according to claim 1 is characterized in that described angular transducer is configured on the described pulse sensor with stacked state.

4. sphygmometer according to claim 1 is characterized in that, described angular transducer is according to the described differential seat angle of static acceleration detection.

5. sphygmometer according to claim 1 is characterized in that described angular transducer has rotary hammer, detects described differential seat angle according to the rotation status of described rotary hammer.

6. sphygmometer according to claim 1, it is characterized in that, described poor detecting unit has the differential seat angle correcting unit, when the wearing position that this differential seat angle correcting unit is regarded as this sphygmometer at described differential seat angle was positioned at the higher position of cardiac position with respect to described wearer, the attenuation curve of the moving composition of described body was according to the rules proofreaied and correct described differential seat angle.

7. according to each described sphygmometer in the claim 1～6, it is characterized in that, the moving composition of described body is removed the unit and is had the removal processing unit, this removals processing unit from described pulse wave detection signal, deduct corresponding based on described wearer cardiac position and the body of the moving composition of described body of the relative mistake of the short transverse of the wearing position of this sphygmometer move the composition detection signal.

8. control method with sphygmometer of pulse wave detecting unit, this pulse wave detecting unit has pulse sensor, and the output pulse wave signal, and this control method is characterised in that to have:

Shoulder joint with the arm of having worn sphygmometer is the center, detects the actual disposition state with respect to the differential seat angle of the benchmark angle of this sphygmometer step as the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer;

The moving composition of body is removed step, according to the relative mistake of the short transverse of the wearing position of described wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal; With

Pulse Rate is calculated step, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate.

9. a watch type information apparatus that is worn on the pulse wave detection position of health has the pulse wave detecting unit, and this pulse detection unit has pulse sensor, and output pulse wave detection signal; With the apparatus main body unit that is worn on the arm, described apparatus main body unit has:

The moving composition of body is removed the unit, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal;

Pulse Rate is calculated the unit, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate; With

The display unit that shows described Pulse Rate,

It is characterized in that,

The moving composition of described body is removed the unit and is had poor detecting unit, and this difference detecting unit detects the relative mistake of short transverse of the wearing position of described wearer's cardiac position and this sphygmometer,

Described poor detecting unit has angular transducer, and this angular transducer is the center with the shoulder joint of the arm of having worn sphygmometer, detects the actual disposition state with respect to the differential seat angle of the benchmark angle of this sphygmometer relative mistake as described short transverse.

10. one kind is worn on the sphygmometer of testing pulse on the human body, and this sphygmometer is characterised in that to have:

The pulse wave detecting unit has pulse sensor, and output pulse wave detection signal;

The moving composition of body is removed the unit, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal; With

Pulse Rate is calculated the unit, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate,

It is characterized in that,

The moving composition of described body is removed the unit and is had the moving detecting unit of body, and the moving detecting unit of this body detects the moving composition of representing as the function of the relative mistake of the short transverse of the wearing position of described wearer's cardiac position and this sphygmometer of body, and the moving detection signal of output body,

The moving detecting unit of described body has the pressure transducer that detects venous blood pressure.

11. sphygmometer according to claim 10 is characterized in that, described pressure transducer be configured in described pulse sensor near.

12. sphygmometer according to claim 10 is characterized in that, described pressure transducer is configured on the described pulse sensor with stacked state.

13. according to each described sphygmometer in the claim 10～12, it is characterized in that, the moving composition of described body is removed the unit and is had the removal processing unit, this removals processing unit from described pulse wave detection signal, deduct corresponding based on described wearer cardiac position and the body of the moving composition of described body of the relative mistake of the short transverse of the wearing position of this sphygmometer move the composition detection signal.

14. the control method with sphygmometer of pulse wave detecting unit, this pulse wave detecting unit has pulse sensor, and the output pulse wave signal, and this control method is characterised in that to have:

Detect the body moving composition of venous blood pressure, and the output body moves the step of detection signal to obtain representing as the function of the relative mistake of the short transverse of the wearing position of the wearer's who is directly proportional cardiac position and this sphygmometer;

The moving composition of body is removed step, according to the relative mistake of the short transverse of the wearing position of described wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal; With

Pulse Rate is calculated step, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate.

15. a watch type information apparatus that is worn on the pulse wave detection position of health has the pulse wave detecting unit, this pulse detection unit has pulse sensor, and output pulse wave detection signal; With the apparatus main body unit that is worn on the arm, described apparatus main body unit has:

The moving composition of body is removed the unit, according to the relative mistake of the short transverse of the wearing position of wearer's cardiac position and this sphygmometer, removes the moving composition of the body that comprises in the described pulse wave detection signal;

Pulse Rate is calculated the unit, according to the described pulse wave detection signal of removing after described body moves composition, calculates Pulse Rate; With

The display unit that shows described Pulse Rate,

It is characterized in that,

The moving composition of described body is removed the unit and is had the moving detecting unit of body, and the moving detecting unit of this body detects the moving composition of representing as the function of the relative mistake of the short transverse of the wearing position of described wearer's cardiac position and this sphygmometer of body, and the moving detection signal of output body,

The moving detecting unit of described body has the pressure transducer that detects venous blood pressure.

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