WO2011086644A1  Biometric information measuring device and method for same  Google Patents
Biometric information measuring device and method for same Download PDFInfo
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 WO2011086644A1 WO2011086644A1 PCT/JP2010/007368 JP2010007368W WO2011086644A1 WO 2011086644 A1 WO2011086644 A1 WO 2011086644A1 JP 2010007368 W JP2010007368 W JP 2010007368W WO 2011086644 A1 WO2011086644 A1 WO 2011086644A1
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 A—HUMAN NECESSITIES
 A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
 A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
 A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
 A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
 A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
 A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases

 A—HUMAN NECESSITIES
 A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
 A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
 A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
 A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heartrate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
 A61B5/024—Detecting, measuring or recording pulse rate or heart rate

 A—HUMAN NECESSITIES
 A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
 A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
 A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
 A61B2560/02—Operational features
 A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors
Abstract
Description
The present invention relates to a biological information measurement device for measuring biological information about the living body by measuring the physiological phenomena of living body, particularly, such as a biological body movement when noise occurs even for example blood oxygen saturation and pulse rate by such Suto method for suitably biological information measurement device capable of measuring and the biological information measurement.
Significance of monitoring the oxygen concentration of the living tissues, as well known, very large in the clinic. Oxygen is the most important substance for life activity maintenance, the supply of oxygen is cut off living tissue cells from undergoing serious injury, parameters related to the oxygen supply is important. Therefore, if the oxygen supply may become unstable, for example, during anesthesia, surgery, when treating a patient, such as respiratory failure and circulatory failure monitors whether particular or oxygen is properly supplied it is important. Oxygen supply to the body tissue is performed by arterial blood. Therefore, in order to understand whether the oxygen supply to the body tissue is appropriately performed, the biometric information is monitored related to biometric, such as, for example, pulse rate and blood oxygen saturation.
As a device for measuring biological information such as these pulse rate and blood oxygen saturation, conventionally referred to as a pulse oximeter biological information measuring device is known. The biological information measuring device, which utilizes the fluctuation component in the transmission or reflection light quantity of the biological tissue caused by pulsatile arterial blood, the oxygen saturation from the ratio by measuring the attenuation of the ripple component with light of two different wavelengths is a device to be obtained. The biological information measurement device, there is a feature which can be conveniently measured by noninvasive, for example, disclosed in Patent Document 1.
In the apparatus disclosed in Patent Document 1, the light receiving signal of the red light transmitted through the living tissue, while being filtering process by a plurality of bandpass filter having a relatively narrow bandwidth, the transmitted light of infrared light the biological tissue signal is also filtering processing by a plurality of bandpass filter having a relatively narrow bandwidth, the ratio of the red light of the signal to the signal of infrared light from the signal after being these filtering (red light signal / infrared light signal ) is determined, the oxygen saturation in the blood is determined from the histogram of the ratio.
The Patent Document 1, as described above, by filtering each of a plurality of band pass filters receiving the signal and the receiving signal of the infrared light of the red light, a relatively clear double peaks with suppressed noise histogram having have been obtained (see, for example, FIG.22 in Patent Document 1). However, with relatively clear double peaks as described in Patent Document 1 case, the noise of the example body movement or the like of a living body to filter process each with one filter lightreceiving signal and the receiving signal of the infrared light of the red light is often histogram is not obtained, Thus, for example, it is difficult to obtain relatively high accuracy biometric information such as pulse rate and blood oxygen saturation.
The present invention is an invention made in view of the above circumstances, and its object is, for example, the biological information measuring device and can be measured accurately the biological information from even if the noise is caused by the body of the body movement, etc. to provide a biological information measurement method.
The biological information measurement device and the biological information measuring method according to the present invention was determined, the histogram is determined based on the measurement data for a given physiological phenomenon of biological, predetermined statistical parameters in thus determined histogram is obtained represents the relationship between the predetermined information and the statistical parameters for obtaining biological information of the living body, the predetermined information is obtained by using a prepared model, and, on the predetermined information obtained wherein the predetermined biological information is obtained based. Therefore, such a configuration method of the biological information measuring device and the biological information measurement can be measured accurately the biological information from even if the noise is caused by such as a biological body motion or the like.
The above and other objects, features and advantages of the present invention will become apparent from the following detailed description and accompanying drawings.
It will be described below based on an embodiment according to the present invention with reference to the accompanying drawings. Note that the structure denoted by the same reference numerals in each figure, show that the same configuration, appropriately omitted.
(First Embodiment)
Figure 1 is a diagram showing the configuration of a biological information measuring apparatus according to the first embodiment. Biological information measuring device SA in the first embodiment is a device for measuring biological information about the living body by measuring the physiological phenomena of living body to be measured. Biological information is, for example, pulse rate and blood oxygen saturation and the like. Such biometric information may be determined by utilizing the fluctuation component in the transmission or reflection light quantity of the biological tissue caused by pulsatile arterial blood, the basic principle is a known conventional means, for example, JPB53 It disclosed in 026437 Patent Publication.
Such biological information measuring apparatus SA, for example, as shown in FIG. 1, a sensor unit 1 for outputting the measured data by measuring a predetermined physiological phenomena of a living body, the measurement data measured by the sensor unit 1 an arithmetic control unit 3A for measuring biological information such as, for example, pulse rate and blood oxygen saturation based, is configured to include a display section 6 for recognizably displaying the biological information measured by the calculation control unit 3A from the outside that.
Sensor unit 1 is connected to the arithmetic and control unit 3A, in this embodiment, is a device for measuring the information about the blood in a biological tissue as a physiological phenomenon of the living body. More specifically, the sensor unit 1, as a physiological phenomenon of a living body, is a device for measuring the fluctuation component in the transmission or reflection light quantity of the biological tissue caused by pulsation of the arterial blood by heartbeat.
Such a method of measuring a physiological phenomenon vivo, for example, a method utilizing light absorption characteristics of hemoglobin biological tissue. Oxygen is carried to each cell of a living body by hemoglobin, hemoglobin combines with oxygen in the lungs becomes oxyhemoglobin, the oxygen is consumed by the biological cell returns to hemoglobin (reduced hemoglobin). Blood oxygen saturation is defined as the percentage of oxygenated hemoglobin in blood (blood). Each absorbance of hemoglobin and oxyhemoglobin has a wavelength dependency, hemoglobin absorbs more light than oxygenated hemoglobin to example red light (light in the red wavelength region), whereas, infrared light (IR absorption of light is less than oxyhemoglobin to light) in the wavelength region. That is, hemoglobin, when being oxidized becomes oxyhemoglobin decreases absorption of the red light increases the absorption of infrared light, returning reduced reversed hemoglobin absorption of red light by the infrared light increases It has an optical property that absorption is reduced. Biological information measuring device SA of this embodiment, living body such as by utilizing a difference in light absorption characteristics with respect to red light and infrared light oxyhemoglobin hemoglobin, such as, for example, pulse rate and blood oxygen saturation and requests the information.
Since according to this method, the sensor unit 1 of the present embodiment includes a first sensor unit 11 for measuring the light absorption characteristics of the biological tissue to the red light, the measuring the light absorption characteristics of the biological tissue to infrared light is constituted by a second sensor unit 12, it is connected to the arithmetic and control unit 3A. The first sensor unit 11 is, for example, the R light emitting element such as irradiation for example light emitting diodes of red light to the living tissue of a wavelength .lambda.1, the R red light is irradiated is transmitted through or reflected by the living tissue by the lightemitting element is constituted by a R lightreceiving element of the light reception for example silicon photodiode, the second sensor unit 12, for example, the infrared light of the wavelength λ1 different wavelength λ2, for example lightemitting diodes or the like for irradiating the living body tissue configured with which the IR light emitting element, an IR receiving element, for example a silicon photodiode or the like for receiving the transmitted or reflected infrared light to be irradiated the biological tissue by the IR lightemitting element. Sensor unit 1 can be used a sensor such transmissive or reflective.
Sensor unit 1 includes, for example, a finger or earlobe or the like and, back of the hand in the case of infants, the wrist, the instep and the like of the foot, is set to a predetermined biological tissue, measurements measured by the first and second measuring units 11 and 12 and it outputs the data to the arithmetic and control unit 3A. More specifically, the first sensor unit 11 having such a configuration, the R lightemitting element irradiates the red light to the living tissue, the R lightreceiving element, the living tissue by the R lightemitting element the biological tissue of the irradiated red light and receives the transmitted or reflected red light R, by photoelectrically converting red light the light receiving, arithmetic and control unit 3A an electric signal corresponding to the amount of received light as the measurement data to output to. Similarly, the second sensor unit 12, the IR lightemitting element, the biological tissue with respect to irradiation with infrared light, the IR light receiving element, the infrared light irradiated to the living body tissue by the IR lightemitting element wherein the living tissue receives transmitted or reflected infrared light by photoelectric conversion of the received light infrared light, and outputs it to the arithmetic control unit 3A an electric signal corresponding to the amount of received light as the measurement data.
Arithmetic control unit 3A is connected to the display unit 6, together with obtaining the biometric information based on the measurement data measured by the sensor unit 1 is a device for controlling the entire biological information measurement device SA. Arithmetic control unit 3A, for example, intended to acquire the timeseries data of the measured data by sampling the measured data measured by the sensor unit 1 at a predetermined sampling period (for example, frequency 37.5Hz, etc.) from the sensor unit 1 is there. Further, for example, the arithmetic and control unit 3A, drives the sensor unit 1 at a predetermined cycle, i.e., by causing the respective operations of the light emitting and receiving measurement data as timeseries data and acquires from the sensor unit 1. Further, for example, the measurement data as timeseries data from the living body tissue as measured by the sensor unit 1 is sampled at a predetermined sampling period, and outputs the measured data of the timeseries data to the calculation control unit 3A. The measurement data may be analog data, in the present embodiment, the digital data, converted into digital data from analog data (AD conversion) is performed in the sensor unit 1 or the calculation control unit 3A, if necessary, the amplifier for amplifying the measurement data before the AD conversion may further comprise the sensor unit 1 or the arithmetic and control unit 3A.
More specifically, the arithmetic and control unit 3A, a histogram based on the measurement data measured by the sensor unit 1 obtains a predetermined statistical parameters in this the obtained histogram, a predetermined biological related to biometric measurement target in the case where the input variables the predetermined statistical parameters with which the predetermined information for obtaining the information and output variables, and previously stores a model representing the relationship between the output variable and the input variables, the obtained said obtains the predetermined information by using the statistical parameters to the model, which obtains the predetermined biometric information based on the predetermined information obtained, for example, micro having a microprocessor, memory and peripheral circuits constituted by a computer. Wherein the memory and the biometric information calculation program for obtaining biological information based on the measurement data measured by the sensor unit 1, and various programs such as a control program for controlling the entire biological information measurement device SA, the sensor unit 1 is a variety of storage devices for example a rewritable nonvolatile storing data of the data required for execution of the measurement the measured data and the program was in EEPROM (Electrically Erasable programmable Read Only memory), a nonvolatile memory an element ROM (Read Only memory), and is configured to include the socalled working memory of the microprocessor such as memory element volatile RAM (Random Access memory), etc., the microprocessor, a socalled CPU ( a Central Processing Unit) or the like, by executing the program, functions To, for example, a first preprocessing unit 31, and the second preprocessing unit 32, a first bandpass filter section (first 1BPF unit) 33, and the second bandpass filter section (first 2BPF unit) 34, a histogram calculation and parts 35, the ratio calculation unit 36, a correlation calculation unit 37, a first autocorrelation calculating unit 38, and the second autocorrelation calculating unit 39, a statistical parameter calculation unit 40, and pv calculator 41, SpO2 calculation It comprises a section 42, the pulse rate calculating section 43, and a reliability calculation unit 44.
First and second preprocessing unit 31 and 32, to the measurement data input from the sensor unit 1 performs predetermined preprocessing. More specifically, the first preprocessing unit 31, to the measurement data relating to the red light input from the first sensor unit 11, performs a socalled dark processing for correcting the dark current in the R lightreceiving element and calculates a first ratio of the AC component _{R AC} for the direct current component _{R DC} (red ACDC _{ratio) R (=} R AC _{/ R DC),} notifies the first ratio R to the first 1BPF section 33 (output) to. The second preprocessing unit 32, to the measurement data relating to the infrared light inputted from the second sensor unit 12, performs a socalled dark processing for correcting the dark current in the IR receiving element, and, calculating a second ratio of the AC component _{IR AC} for the direct current component _{IR DC} (infrared AC to DC _{ratio) IR (=} IR AC / _{IR DC),} and notifies the second ratio IR to the first 1BPF section 33 (output). The dark treatment, a known method is used, for example, with subtracting the output value from the measurement data relating to the red light output from the R lightreceiving element of the lightshielding state (dark current value) Rdark, the infrared light output value that is output from the related measurement data from the IR receiving element of the lightshielded state is performed by subtracting the (dark current) IRdark. Each output value Rdark output from R light receiving element and the IR receiving element of the light shielding state, IRdark is measured in advance.
First and 2BPF portions 33 and 34 is a filter for removing a predetermined noise component from the measurement data measured by the sensor unit 1, usually included as variable components in the transmission or reflection light quantity of the biological tissue caused by the pulsation of the arterial blood it is to remove the frequency components other than frequency components. The 1BPF unit 33 is, for example, with respect to red light, a filter having a pass band of a predetermined frequency band including a frequency component normally included as variable components in the transmission or reflection light quantity of the biological tissue caused by pulsatile arterial blood, the first the ratio R of the filtered (filtering), and notifies the first ratio R after the filtering ratio calculating section 36, correlation calculating section 37, to each section of the first autocorrelation calculating unit 38 and the pulse rate calculating section 43 . The 2BPF unit 34 is, for example, for infrared light, a filter having a pass band of a predetermined frequency band including a frequency component normally included as variable components in the transmission or reflection light quantity of the biological tissue caused by pulsation of arterial blood, the 2 ratio IR filtering (filtering), it notifies the second ratio IR after the filtering ratio calculating section 36, correlation calculating section 37, to each section of the second autocorrelation calculating unit 39 and the pulse rate calculating section 43 to. In the biological information measuring device SA of the present embodiment, the bandpass filter is one to measure data relating to one of the wavelengths is not a multiple as disclosed technology in Patent Document 1. Further, the Patent Document 1, the histogram of the oxygen saturation, it is disclosed that determine the maximum or minimum oxygen saturation is a value degree is not 0 in oxygen saturation or histogram, occurring peak alone does not using primary polynomial in example their statistical parameters from a plurality of statistical parameters, a model of such rational expression and force type as in this embodiment.
Ratio calculating unit 36, which third ratio of the first ratio R with respect to the second ratio IR (2 wavelength variation ratio) is calculated P (= R / IR), and notifies the third ratio P to the histogram calculating section 35 it is.
Histogram calculation unit 35 calculates the histogram of the third ratio P (frequency distribution) obtained from the measurement data measured by the sensor unit 1 within a predetermined time range, the statistical parameter calculator histogram of the third ratio it is intended to be notified to the 40. Said predetermined time range is a time range that can obtain measurement data of the number, such as the histogram is statistically significant, the number of the measurement data is, for example, 300 or 400 or 500 or the like. Histogram calculation unit 35, from the time that performs class classification (classification) into a plurality of classes (class) at predetermined intervals a predetermined range which is assumed as a numerical range in which the third ratio P can take to create the histogram by distributing each of the plurality of third ratio P input from the ratio calculating section 36 and before by the predetermined period of time the rank of these either, obtain the frequency of the third ratio P in each class. This histogram calculating section 35 may be, a histogram of the third ratio P.
Statistical parameter calculation unit 40, a third ratio with respect to the histogram of P, to calculate the predetermined statistical parameters, pv calculator 41 the calculated statistical parameters, SpO2 calculation section 42 and the reliability calculated by the histogram calculation unit 35 and it notifies to each part of the calculation unit 44. The predetermined statistical parameters may be, for example, average value, standard deviation, etc. in the histogram of the third ratio P, also for example, be a mean value and a standard deviation, etc. in the moving average of the histogram of the third ratio P .
Crosscorrelation calculating unit 37 calculates a crosscorrelation CC between the second ratio IR according to the first ratio R and the infrared light according to the red light, the crosscorrelation CC that the calculated SpO2 calculation section 42 and the reliability and it notifies to each part of the calculation unit 44. When the first ratio R at time t and R (t), the second ratio IR at time t (t), the crosscorrelation CC is expressed by the following equation A1.
CC = Σ (R (t) × IR (t)) ··· (A1)
However, sigma, each measured from the most recent measurement data at the time histogram calculation to past measurement data at a time earlier by the predetermined time data R (ti), IR (ti); for i = 0 ~ M operation It is. Subscript i represents that the ith measurement data of the M + 1 pieces of measurement data.
First correlation calculating unit 38 calculates the first autocorrelation SC _{R} of the first ratio R according to the red light, each unit of the first autocorrelation SC _{R} a SpO2 calculation section 42 and the reliability calculation unit 44 that the calculated it is intended to be notified to. The first autocorrelation SC _{R,} is expressed by the following equation A2.
_{ SC R = Σ (R (t } ) 2) ··· (A2)
However, sigma, each measured from the most recent measurement data at the time histogram calculation to past measurement data at a time earlier by the predetermined time data R (ti), IR (ti); for i = 0 ~ M operation It is.
Second correlation calculation section 39 calculates the second autocorrelation _{SC IR} of the second ratio IR related to infrared light, the second autocorrelation _{SC IR} and SpO2 calculation section 42 and the reliability calculation unit 44 that the calculated it is intended to be notified to the various parts. The second autocorrelation _{SC IR,} is expressed by the following equation A3.
_{ SC IR = Σ (IR (t } ) 2) ··· (A3)
However, sigma, each measured from the most recent measurement data at the time histogram calculation to past measurement data at a time earlier by the predetermined time data R (ti), IR (ti); for i = 0 ~ M operation It is.
pv calculation unit 41, calculated by the statistical parameter calculation unit 40, based on the statistical parameters in the histogram of the third ratio P, the predetermined second information for determining the noise component ratio pv pv ^ to calculate the, the the calculated second information pv ^ and notifies the SpO2 calculation unit 42 and the pulse rate calculating section 43. The second information pv ^ is the position of the dip (dip) in the histogram of the third ratio P. Input variables x1, x2, the predetermined statistical parameters with the predetermined second information pv ^ for determining the predetermined biometric information about the body of a measuring object and output variable x3, · · ·, in the case where the xl the output variable pv ^ and the input variables x1, x2, x3, · · ·, model representing the relationship between xl; pv ^ = f (x1, x2, x3, ···, xl), for example, multiple regression analysis previously determined by the like, and is stored in the pv calculator 41. pv calculation unit 41, statistical model statistical parameters determined by the parameter calculating unit 40; pv ^ = f (x1, x2, x3, ···, xl) the predetermined second information pv by using the ^ the seek. This way the model, a plurality of statistical parameters x1, x2, x3, ···, xl is used. Thus, the biological information measuring device SA of the present embodiment can be used more appropriately approximated model can be measured more accurately the biological information. Therefore, it is desirable that the model, at least two products and / or the ratio 1 or more the of the plurality of statistical parameters with including as the input variables, respectively to a single plurality of statistical parameters it may include as input variables.
SpO2 calculation unit 42, statistical parameters in the histogram of the third ratio P calculated by the statistical parameter calculation unit 40, the second information pv calculated by pv calculator 41 ^ crosscorrelation calculated by the correlation calculator 37 CC, based on the second autocorrelation SC _{IR} calculated by the first autocorrelation SC _{R} and the second autocorrelation calculating section 39 calculated by the first autocorrelation calculating unit 38 calculates the oxygen saturation, and the calculated It notifies the oxygen saturation to reliability calculation section 44, and outputs to the display unit 6. More specifically, SpO2 calculation unit 42, the second information pv calculated by pv calculator 41 ^, first autocorrelation SC _{R} and the second autocorrelation calculating section calculated by the first autocorrelation calculating unit 38 a second autocorrelation _{SC IR} calculated by 39, pa ^ = (pv ^ × Σ {R (t) × IR (t)}  Σ {R (t)} 2) / (pv ^ × Σ {IR ^{(t)}} by 2 Σ {R (t) × IR (t)}), obtains a ^ predetermined first information pa for determining the predetermined biometric information related to biometric measurement target, and, for example, body movement, etc. the third ratio P of the noise previously obtained definitive when substantially not by using the (= R / IR) and the lookup table representing the relationship between oxygen saturation (calibration table), the estimated value of the oxygen saturation of arterial blood determine the SpO _{2.} That is, in the lookup table representing the relationship between the third ratio R / IR and oxygen saturation SO _{2} in the absence of noise, the third ratio in the nearest the lookup table in the first information pa ^ R / IR There is searched, oxygen saturation SO _{2} corresponding to the third ratio R / IR is an estimated value SpO _{2} oxygen saturation of arterial blood. Further, SpO2 calculation unit 42, by using a lookup table (calibration table) representing the relationship between the second information pv ^ and oxygen saturation to determine the estimated value SvO _{2} oxygen saturation of venous blood.
Pulse rate calculating section 43, the first ratio according to the red light R, the pulse rate within a predetermined time based on the calculated pv ^ by the second ratio IR and pv calculator 41 according to the infrared light (e.g. calculating a pulse rate) for one minute, and outputs the pulse rate to the display unit 6.
Reliability calculation section 44, the statistical parameters in the histogram of the third ratio P calculated by the statistical parameter calculation unit 40, the oxygen saturation calculated by the SpO2 calculation unit 42, the crosscorrelation CC calculated by the correlation calculator 37 , based on the second autocorrelation SC _{IR} calculated by the first autocorrelation SC _{R} and the second autocorrelation calculating section 39 calculated by the first autocorrelation calculating unit 38 calculates the predetermined level of reliability, and the calculated and it outputs the reliability to the display unit 6.
Reliability is an index indicating which value can be calculated value relating to the biometric information is how reliable (degree). Such reliability can be determined, for example, by any of the following formulas B1 to formula B6. In reliability z obtained by such expressions, the reliability of the blood oxygen saturation level becomes lower the greater the absolute value of the value z. Note that in each of these formulas, sigma is, i the sum for.
z = (ΣR (ti) × IR (ti)) / (Σ {IR (ti)} 2)  (Σ {R (ti)} 2) / (ΣR (ti) × IR (ti)) ··· (B1)
z = (Σ {IR (ti )} 2) / (ΣR (ti) × IR (ti))  [(Σ {R (ti)} 2) / (Σ {IR (ti)} 2)] 2 · ·· (B2)
z = (Σ {R (ti )} 2) / (Σ {IR (ti)} 2)  [(ΣR (ti) × IR (ti)) / (Σ {IR (ti)} 2)] 2 · ·· (B3)
z = [(1 / N) × ΣR (ti) / IR (ti)] 2  (Σ {R (ti)} 2) / (Σ {IR (ti)} 2) ··· (B4)
z = (ΣR (ti) × IR (ti)) / (Σ {IR (ti)} 2)  (1 / N) × ΣR (ti) / IR (ti) ··· (B5)
z = (Σ {R (ti )} 2) / (ΣR (ti) × IR (ti))  (1 / N) × ΣR (ti) / IR (ti) ··· (B6)
Display unit 6 is a device for displaying the biological information or the like obtained by the operation status and the operation control section 3A of the biological information measuring apparatus SA, for example, a liquid crystal display (LCD) or an organic EL display device or the like. The display unit 6, for example, in the present embodiment, a pulse rate display unit 61 for displaying the pulse rate calculated by pulse rate calculator 43, SpO2 display unit for displaying the oxygen saturation calculated by the SpO2 calculation unit 42 and 62, and a reliability display section 63 for displaying the reliability calculated by the reliability calculation unit 44.
Next, the operation of the biological information measuring device SA of the first embodiment. 2, in the case of obtaining the oxygen saturation is a flowchart showing the operation of the biological information measuring apparatus of the first embodiment. 3, in the case of obtaining the pulse rate is a flowchart showing the operation of the biological information measuring apparatus of the first embodiment. Figure 4 is a diagram showing a histogram of a third ratio P in the first case. Figure 5 is a diagram showing a histogram of a third ratio P in the second case. Figure 6 is a diagram showing a histogram of a third ratio P in the third case. The first case, the living body has been at rest, the case noise is little, the second and third case is when the noise is superimposed, for example, by living body motion or the like. 4 to 6 is an example of the measurement results of each case are shown. The horizontal axis of FIGS. 4 to 6 is a class (class), the vertical axis represents the frequency (frequency).
In the biological information measuring device SA, for example, by introduction of an unillustrated measurement start switch after turningon and power switch not shown of the power switch, to measure the biological information of the living body to be measured is started.
In the measurement of oxygen saturation, as shown in FIG. 2, first, in step S11, the first sensor part 11 of the sensor unit 1, (including dark current) measurement data Rsignalanddark relating to red light and its dark current Rdark is measured, while being converted from an analog signal to a digital signal, by the second sensor portion 12 of the sensor unit 1, (including dark current) measurement data IRsignalanddark related to infrared light and the dark current IRdark measurement, an analog signal It is converted into a digital signal from.
Then, in step S12, the first preprocessing unit 31 of the arithmetic and control unit 3A, with respect to measurement data Rsignalanddark relating to red light input from the sensor unit 1, the dark treatment (RsignalanddarkRdark) is executed, first with the ratio R is calculated by the second preprocessing unit 32 of the arithmetic and control unit 3A, with respect to measurement data IRsignalanddark related to infrared light inputted from the sensor unit 1, the dark treatment (RsignalanddarkRdark) is executed, the second ratio IR is calculated.
Subsequently, in step S13, the first 1BPF unit 33 of the arithmetic and control unit 3A, together with the first ratio R which is notified from the first preprocessing unit 31 is filtered by the first 2BPF portion 34 of the arithmetic and control unit 3A, the 2 second ratio IR notified from the preprocessing section 32 is filtered.
Then, in step S14, the correlation value is calculated. That is, the crosscorrelation calculating unit 37, the calculated crosscorrelation CC between the first ratio R and the second ratio IR is, the first autocorrelation calculating unit 38, the autocorrelation SC _{R} of the first ratio R is calculated, and , the second autocorrelation calculating unit 39, the autocorrelation _{SC IR} of the second ratio IR is calculated. For example, the time range from the current time tk + t0 until past time tk + tM; measurement data (tk + ti i = 0 ~ M), each correlation value is calculated.
In step S15, the ratio calculation unit 36 of the arithmetic and control unit 3A, the calculated third ratio P of the first ratio R with respect to the second ratio IR is, the histogram calculation unit 35 of the arithmetic and control unit 3A, a predetermined time range histogram of the third ratio P is calculated at. For example, the time range from the current time tk + t0 until past time tk + tN; measurement data (tk + ti i = 0 ~ N), a histogram of the third ratio P is obtained.
Thus histogram obtained, for example, when a living body is noise in the rest or the like to which the measurement data is hardly superposed, for example, sought histogram shown in FIG. 4, also for example, a body such as a living body If the noise measurement data is superimposed by a motion, for example, a histogram as shown in FIG. 5 and FIG. 6 is determined. Biological information measuring device SA of the present embodiment, even in the histogram of the profile shown in such FIG. 5 and FIG. 6, the processing to be described later using a statistical parameter of the histogram, more precisely for example pulse rate and oxygen saturation it can measure biological information of degrees or the like.
Then, in step S16, by the statistical parameter calculation unit 40 of the arithmetic and control unit 3A, a third ratio predetermined statistical parameters of mean and standard deviation, etc. σ example in the histogram of P obtained by the histogram calculation unit 35 (x1, x2, x3, ···, xl) is required.
Then, in step S17, the SpO2 calculation unit 42 of the arithmetic and control unit 3A, obtained as one of the statistic parameter in step S16, the third ratio P predetermined threshold value Th standard deviation σ is set in advance in the histogram of the whether large or not than. The standard deviation sigma, since an index generally representative of the variation of the data, it is possible to use the degree of noise superposed on the measurement data as an index determined.
As a result of checking, if the standard deviation σ is equal to or less than the predetermined threshold value Th (No), the step S31 is executed, if the standard deviation σ is greater than the predetermined threshold value Th (Yes), step S18 is executed.
In step S31, if the measurement data measured by the sensor unit 1 is most if noise is not superimposed (e.g., less and 3% when the noise is not more than 5% with respect to the signal, the third ratio P since the histogram of a case of the profile) shown in FIG. 4, for example, Σ {(R (t) × IR (t)} / Σ {R (t)} 2 by oxygen saturation by calculating the signal component ratio pa by known conventional methods, such as determining the degree, in SpO2 calculation unit 42, the calculated blood oxygen saturation and blood oxygen saturation in the vein of the artery, the display unit each blood oxygen saturation which this calculated output 6 to the SpO2 display unit 62, followed by step S21 is executed.
Here, when measuring the absorbance of the biological tissue, and the variation of the signal component of the absorbance and s, the noise components superimposed on the signal component in the case of n, the first ratio R and the second ratio IR is , the following equation holds C1 and formula C2.
IR = s + n ··· (C1)
R = s × pa + n × pv ··· (C2)
The signal component ratio pa is the ratio between the absorbance of the change in the signal component in absorbance variation of the signal component s and the red light in the infrared, the signal component ratio pa is generally blood oxygen saturation the corresponding it is known in the onetoone with. The noise component ratio pv is the ratio of the noise component superimposed on the signal component to the noise component n and the red light to be superimposed on the signal component s with respect to infrared light.
On the other hand, in step S18, since when the noise is not negligible in the measurement data measured by the sensor unit 1 is superimposed (when histogram of the third ratio P of the profile shown in FIG. 5 and FIG. 6) , by SpO2 calculation unit 42, pv ^ = f (x1, x2, x3, ···, xl) from pv ^ is calculated. Then, in step S19, the SpO2 calculation unit 42, pa ^ = (pv ^ × Σ {R (t) × IR (t)}  Σ {R (t)} 2) / (pv ^ × Σ {IR calculating a pa ^ by ^{(t)} 2 Σ {R} (t) × IR (t)}). However, sigma is calculated for each measurement data from the most recent measurement data at the time histogram calculation to past measurement data at a time earlier by the predetermined time. That, sigma is the time range from the current time tk + t0 until past time tk + tM; is calculated for the measurement data (tk + ti i = 0 ~ M). Then, in step S20, the SpO2 calculation unit 42, these pa ^ and pv blood arterial oxygen saturation from ^ SpO _{2} and venous blood oxygen saturation SvO _{2} blood is calculated, the blood the calculated medium oxygen saturation _{SpO} 2, SvO _{2} is output to the SpO2 display unit 62 of the display unit 6, followed by step S21 is executed.
Subsequently, in step S21, the reliability calculation unit 44 of the arithmetic and control unit 3A, a predetermined confidence level is calculated, the calculated reliability is output to the reliability display section 63 of the display unit 6, the oxygen saturation calculation of is ended, followed by calculation of the pulse rate is performed.
On the other hand, in the measurement of the pulse rate, as shown in FIG. 3, first, in step S41, the pulse rate calculating section 43 of the arithmetic and control unit 3A, R (t) pv ^ × IR (t) is binarized that. Then, in step S42, the pulse rate calculating section 43, the period within a predetermined time of the binarized R (t) pv ^ × IR (t) T (j) is obtained, the period T average value Tave are calculated in (j). Subsequently, in step S43, the pulse rate calculating section 43, to determine the pulse rate of 1 minute, 60 / the calculated pulse rate by the average value Tave of the period, pulse number pulse of the calculated display portion 6 is output to the number display unit 61, the processing is terminated.
In the display section 6, the pulse rate determined by the way the operation control unit 3A, the blood oxygen saturation of arterial and venous and reliability pulse rate display unit 61, the SpO2 display unit 62 as well as the reliability display section 63 It is displayed in each.
Since such operation, the biological information measuring device SA of the first embodiment, for example, to measure the biological information accurately for example pulse rate and oxygen saturation, etc. than even when noise is caused by the body of the body movement, etc. can.
Next, another embodiment is explained.
(Second Embodiment)
Figure 7 is a diagram showing the configuration of a biological information measuring apparatus according to the second embodiment. The biological information measuring device SA according to the first embodiment, the statistical parameters in the histogram of the third ratio P calculated second information pv ^, was calculated oxygen saturation, the biological information measuring device SB according to the second embodiment from statistical parameters in the histogram of the third ratio P calculated first information pa ^ and second information pv ^, and calculates the oxygen saturation. Thus, the biological information measuring device SB of the second embodiment, instead of the calculation control unit 3A in the biological information measuring device SA of the first embodiment, and an arithmetic control unit 3B will be described later. That is, the biological information measuring device SB of the second embodiment, for example, as shown in FIG. 7, the sensor unit 1 for measuring a predetermined physiological phenomena of the biological, measured predetermined physiological biometric sensor section 1 includes a calculation control unit 3B for measuring biological information such as, for example, pulse rate and blood oxygen saturation based on the phenomenon, and a display unit 6 for recognizably displaying the biological information measured by the calculation control unit 3B from the outside composed of Te. Since these sensor section 1 and the display section 6 is similar to the sensor unit 1 and the display unit 6 in the biological information measuring device SA of the first embodiment, description thereof will be omitted.
Then, the arithmetic control unit 3B is similar to the arithmetic and control unit 3A of the first embodiment, is connected to the display unit 6, together with obtaining the biometric information based on the measurement data measured by the sensor unit 1, the biological information measuring a device which controls the overall apparatus SA, for example, constituted by a microcomputer including a microprocessor, a memory and peripheral circuits. Then, the microprocessor executes a program according to the second embodiment, functionally, for example, a first preprocessing unit 31, and the second preprocessing unit 32, a first bandpass filter section (first and 1BPF unit) 33, and the second bandpass filter section (first 2BPF unit) 34, a histogram calculating section 35, and the ratio calculating section 36, and the statistical parameter calculation unit 40, and pa · pv calculator 51, SpO2 · SvO2 a calculating unit 52, and the pulse rate calculating section 43, and a reliability calculation section 53.
The first preprocessing unit 31 in the second embodiment, the second preprocessing unit 32, the 1BPF portion 33, the 2BPF unit 34, the histogram calculating section 35, the ratio calculation unit 36 and the statistical parameter calculating unit 40, the first embodiment the first preprocessing unit 31 in the embodiment, the second preprocessing unit 32, the 1BPF portion 33, the 2BPF unit 34, the histogram calculating section 35 are the same as the ratio calculation unit 36 and the statistical parameter calculating section 40, the description omitted.
pa · pv calculating unit 51 is calculated by the statistical parameter calculation unit 40, based on the statistical parameters in the histogram of the third ratio P, the first information given for determining the signal component ratio pa pa ^ and the noise component pv predetermined second information pv ^ was calculated respectively for obtaining the first and second information pa was these calculated ^, and notifies the pv ^ to SpO2 · SvO2 calculation unit 52 and the pulse rate calculating section 43. Measuring input variables x1, x2, the predetermined statistical parameters with which this predetermined first information pa ^ output variables for determining the predetermined biometric information about the body of a subject x3, · · ·, in the case where the xl the output variable pa ^ and the input variables x1, x2, x3, · · ·, model representing the relationship between xl; pa ^ = g (x1, x2, x3, ···, xl), for example, multiple regression analysis previously determined by the like, and is stored in the pa · pv calculator 51. Then, the input a predetermined statistical parameter variables x1, x2, x3, · · ·, was xl with the predetermined second information pv ^ for determining the predetermined biometric information about the body of a measuring object and output variables in case, the said output variable pv ^ input variables x1, x2, x3, · · ·, model representing the relationship between xl; pv ^ = f (x1, x2, x3, ···, xl), for example, heavy previously determined by regression analysis and the like, it is stored in the pa · pv calculator 51. pa · pv calculating unit 51, statistical model statistical parameters determined by the parameter calculating unit 40; pa ^ = g (x1, x2, x3, ···, xl) first information of said predetermined by using the seeking pa ^, the model statistical parameters determined by the statistical parameter calculation unit 40; pv ^ = f (x1, x2, x3, ···, xl) a second information of the predetermined by using the pv ^ Ask.
SpO2 · SvO2 calculation unit 52, statistical parameters in the histogram of the third ratio P calculated by the statistical parameter calculation unit 40, first and second information pa calculated by pa · pv calculator 51 ^, based on pv ^ calculating the oxygen saturation Te, and notifies the calculated oxygen saturation to reliability calculation section 53, and outputs to the display unit 6. Further, SpO2 · SvO2 calculator 52, by using a lookup table (calibration table) representing the relationship between the first information pa ^ and oxygen saturation, obtains the estimated value SpO _{2} oxygen saturation of arterial blood, the by using a lookup table (calibration table) representing the relationship between the second information pv ^ and oxygen saturation, obtaining an estimate SvO _{2} oxygen saturation of venous blood.
Pulse rate calculating section 43, the pulse rate within a predetermined time period based on the first ratio R according to the red light, pv calculated by the second ratio IR and pa · pv calculator 51 according to the infrared light ^ (e.g. pulse rate per minute) is calculated, and outputs the pulse rate to the display unit 6.
Reliability calculation section 53, the statistical parameters in the histogram of the third ratio P calculated by the statistical parameter calculation unit 40, based on the oxygen saturation calculated by SpO2 · SvO2 calculation unit 52, preset predetermined calculation calculating a predetermined level of reliability using the equation, and outputs the calculated reliability to the display unit 6.
Next, the operation of the biological information measuring device SB of the second embodiment. 8, in the case of obtaining the oxygen saturation is a flowchart showing the operation of the biological information measuring apparatus of the second embodiment.
In the biological information measuring device SB, for example, by introduction of an unillustrated measurement start switch after turningon and power switch not shown of the power switch, to measure the biological information of the living body to be measured is started.
In the biological information measuring device SB of the second embodiment, the operation when determining the pulse rate is similar to the operation of finding the pulse rate as described above in the biological information measuring device SA of the first embodiment, explanation thereof is omitted here, the operation of the case of obtaining the oxygen saturation.
That is, the second in the measurement of oxygen saturation in the biological information measuring device SB embodiment, as shown in FIG. 8, the biological information measuring device SB of the second embodiment, the biological information measuring device SA of the first embodiment It executes step S51 to step S57 in the same manner each step S11 to step S17 described above and described with reference to FIG. 2 in. Then, the step S57 it is determined in, if the standard deviation σ is equal to or less than the predetermined threshold value Th (No), step S31 similar to steps as S71 in the biological information measuring device SA of the first embodiment is executed step S60 is executed after, if the standard deviation σ is greater than the predetermined threshold value Th (Yes), step S58 is executed.
In the step S58, the because when the noise is not negligible in the measurement data measured by the sensor unit 1 is superimposed (when histogram of the third ratio P of the profile shown in FIG. 5 and FIG. 6), by SpO2 · SvO2 calculation unit 52, pv ^ = f (x1, x2, x3, ···, xl) from pv ^ is calculated, pa ^ = g (x1, x2, x3, ···, xl) from pa ^ is calculated. Subsequently, in step S59, the by SpO2 · SvO2 calculation unit 52, these pa ^ and pv ^ blood oxygen saturation of blood oxygen saturation and veins of the artery is calculated from the blood oxygen saturation of the calculated degrees are output to the SpO2 display unit 62 of the display unit 6, followed by the step S60 is executed.
Then, in step S60, the reliability calculation unit 53 of the arithmetic and control unit 3B, a predetermined confidence level is calculated, the calculated reliability is output to the reliability display section 63 of the display unit 6, the oxygen saturation calculation of is ended, followed by calculation of the pulse rate is performed.
Measurement of the pulse rate, as described above, it is executed similarly to the biological information measuring device SA of the first embodiment, the pulse rate is calculated, the pulse rate of the pulse rate this calculated display portion 6 is output to the display unit 61, the processing is terminated.
In the display section 6, the pulse rate determined by the way the operation control unit 3B, the blood oxygen saturation of arterial and venous and reliability pulse rate display unit 61, the SpO2 display unit 62 as well as the reliability display section 63 It is displayed in each.
Since such operation, the biological information measuring device SB of the second embodiment, for example, to measure the biological information accurately for example pulse rate and oxygen saturation, etc. than even when noise is caused by the body of the body movement, etc. can.
The first and second embodiments the biological information measuring device in the SA described above, SB, if necessary, exchange data with the connected external storage unit in the external storage unit or the external storage unit of an unillustrated it may further comprise an interface part such as may for example RS232C standard or the USB standard to be. The external storage unit, for example, a memory card, a flexible disk, CDR (Compact Disc Recordable), data between the DVDR (Digital Versatile Disc Recordable) and Bluray disc (Blueray Disc) or the like of the storage medium a read and / or device that writes, for example, a memory card interface, floppy disk drive, CDROM drive, CDR drive, a DVDR drive and a Bluray disc drive or the like.
Such a configuration of the biological information measuring apparatus SA, SB, when the arithmetic control unit 3A, the program for performing the above process to 3B not stored, the recording medium storing the program and the like, wherein arithmetic control unit 3A via the external storage unit may be configured to be installed in 3B. Alternatively, the external measurement data processed by the measurement data or the first and second preprocessing unit 31, 32 and first and 2BPF portions 33 and 34 measured by the sensor unit 1 through the interface portion retrieved, measured data retrieved in this outside, is processing by computer installed with programs for performing the processing described above, whereby, given biological information may be calculated.
The biological information measuring apparatus SA in the first and second embodiments described above, in the SB, the abovedescribed model is a plurality of models corresponding to the value of the statistic parameter, the pv calculator 41 and pa · pv calculator 51, the statistical parameters by selectively using the plurality of models in accordance with the value, statistics from the statistical parameters obtained by the parameter calculator 40 obtains a ^ second information pv ^ and first information pa, such as oxygen on the basis of these it may be obtained given biological information saturation like. According to this structure, the biological information measuring apparatus SA, SB, since a plurality of models are used are used depending on the value of the statistic parameter, it is provided better approximation model, and more precisely the biological information There can be measured.
The biological information measuring apparatus SA in the first and second embodiments described above, in the SB, the aforementioned model is composed of a second model for correcting the values obtained by the first model first model, the pv calculator 41 and pa · pv calculating unit 51, statistical values obtained by using the first model the statistical parameters obtained by the parameter calculator 40, the statistical parameter obtained by the statistical parameter calculator 40 the by correcting the correction value obtained by using the second model, we obtain the second information pv ^ and first information pa ^, may be obtained biometric information such as oxygen saturation or the like on the basis of these . According to this structure, the biological information measuring apparatus SA, SB, since the correction value is calculated, more accurate biological information can be measured.
Further, the biological information measuring apparatus SA in the first and second embodiments described above, in the SB, the abovementioned model was the value and the predetermined statistical parameters obtained by said first model first model as an input variable consists of a 2 model, the pv calculator 41 and pa · pv calculating unit 51, the value and the statistical parameter calculating unit 40 is obtained by using the statistical parameters determined by the statistical parameter calculation unit 40 to the first model by using statistical parameters determined in the second model, the second information pv ^ and the first information pa ^ determined, it may be obtained biometric information such as oxygen saturation or the like on the basis of these. According to this structure, the biological information measuring apparatus SA, SB, since the second model value of the first model as an input variable is used, more accurately the biological information can be measured.
Herein, discloses a technique of various embodiments as described above, of which summarized main technical below.
Biological information measuring device according to one embodiment, the histogram calculation for obtaining a measuring unit for outputting the measured data by measuring a predetermined physiological phenomena in vivo to be measured, a histogram based on the measurement data measured by the measuring section the predetermined well as the parts, a statistical parameter calculation unit for obtaining a predetermined statistical parameters in the histogram obtained by the histogram calculation unit, and an output variable predetermined information for determining the predetermined biometric information related to biometric of the measurement object in the case of statistical parameters as input variables of the model (1 order polynomial regarding, for example, the input variables, rational expression and force type or the like) that output variables to represent the relationship between the input variables is stored in advance, the statistical parameter calculator before by using the model of the statistical parameters calculated by It obtains predetermined information, and a biological information calculation unit for determining the predetermined biometric information based on the predetermined information obtained.
Then, the biological information measuring method according to another aspect, a measuring step of obtaining measurement data by measuring a predetermined physiological phenomena in vivo to be measured, a histogram based on the measurement data obtained by the measuring step to a histogram calculation step of obtaining a statistical parameter calculation step of obtaining a predetermined statistical parameters in the histogram obtained by the histogram calculation step, and an output variable predetermined information for determining the predetermined biometric information related to biometric of the measurement object wherein in the case where a predetermined statistical parameters input variables, and previously stores a model representing the relationship between the output variable and the input variables (for example, 1 order polynomial for the input variables, rational expression and force type or the like) together, the statistical using said statistical parameter obtained by the parameter calculation unit in the model It obtains the predetermined information by, and a biological information calculation step of calculating said predetermined biometric information based on the predetermined information obtained.
In such a configuration of the biological information measuring device and the biological information measuring method, the predetermined biological information is determined in the subject based on the statistical parameters of the histogram based on the measurement data obtained from a living body to be measured. Therefore, such a configuration method of the biological information measuring device and the biological information measurement can be measured accurately the biological information from even if the noise is caused by such as a biological body motion or the like.
The biological information measuring apparatus according to another aspect, the receiving the first light of the first light of the predetermined first wavelength irradiated on the living body tissue to be measured, and transmitted through or reflected by the living body tissue of the living body a first sensor portion for outputting a first measurement data, the second light of the first wavelength different from the predetermined second wavelength is irradiated to the living body tissue of the living body, and transmitting or reflecting the biological tissue of the living body a measurement unit and a second sensor portion for outputting a second measured data by receiving a second light, for the DC component in the first ratio and the second measurement data of the AC component to the DC component in the first measurement data a histogram calculation unit for obtaining a histogram of the third ratio is calculated based on the second ratio of the AC component, the statistical parameters for determining the predetermined statistical parameters in the histogram obtained by the histogram calculation unit A data calculating unit, in the case where the input variables the predetermined statistical parameters as well as the output variable predetermined information for determining the oxygen saturation of the living body of the measurement object, wherein the output variable and the relationship between the input variables model (1 order polynomial regarding, for example, the input variables, rational expression and force type or the like) representing the previously stores, obtains the predetermined information by using said statistical parameter obtained by said statistical parameter calculation unit in the model, based on the determined predetermined information and a biometric information calculation unit for determining the oxygen saturation.
Then, the biological information measuring method according to another aspect, a measuring step of obtaining measurement data by measuring a predetermined physiological phenomena in vivo to be measured, a histogram based on the measurement data obtained by the measuring step a histogram calculation step of obtaining a statistical parameter calculation step of obtaining a predetermined statistical parameters in the histogram obtained by the histogram calculation step, with an output variable predetermined information for determining the oxygen saturation of the living body of the measurement object wherein in the case where a predetermined statistical parameters input variables, and previously stores a model representing the relationship between the output variable and the input variables (for example, 1 order polynomial for the input variables, rational expression and force type or the like), the statistical parameters the statistical parameters calculated by the calculating unit to be used in the model It obtains the predetermined information Te, and a biological information calculation step of calculating the oxygen saturation based on the predetermined information obtained.
Such configuring of the biological information measuring device and the biological information measurement can be measured accurately the oxygen saturation of the living body than even when noise is caused by such as a biological body motion or the like. Then, according to this configuration, it is possible to measure the oxygen saturation, the socalled pulse oximeter is provided.
Further, in another aspect, in these abovementioned biological information measurement device, preferably, the statistical parameters are a plurality. And, in another aspect, in these abovementioned biological information measuring method, preferably, the statistical parameters are a plurality.
According to this configuration, since the statistical parameters is more used, it provided better approximation model is more accurately the biological information can be measured.
Further, in another aspect, in the abovedescribed biological information measurement device, preferably, the model, at least two of said plurality of statistical parameters with including as the input variables of each of said plurality of statistical parameters alone including product and / or the ratio as one or more said input variables.
According to this configuration, since a plurality of statistical parameters the product and / or the ratio not only used alone as input variables of the model is also used as input variables of the model are provided better approximated model , more accurately the biological information can be measured.
Further, in another aspect, in these abovementioned biological information measurement device, preferably, the model is a plurality of models corresponding to the value of the statistic parameter, the biological information calculation unit, depending on the value of the statistic parameter by selectively using the plurality of model Te, it obtains the predetermined information from the statistical parameter obtained by said statistical parameter calculation unit obtains the predetermined biometric information based on the predetermined information this determined.
According to this configuration, since a plurality of models are used are used depending on the value of the statistic parameter, provided better approximation model is more accurately the biological information can be measured.
Further, in another aspect, in these abovementioned biological information measurement device, preferably, the model is composed of a second model for correcting the values obtained by the first model first model, the biological information calculating unit, a value obtained by using the statistical parameters calculated by said statistical parameter calculation unit in the first model, the statistical parameters calculated by said statistical parameter calculation unit in the second model It obtains the predetermined information by correcting the correction value obtained by, and obtains the predetermined biometric information based on the determined predetermined information. Here, first, second model, for example, 1 order polynomial for the input variables, rational expression and excessive expression or the like is used.
According to this configuration, since the correction value is calculated, more accurate biological information can be measured.
Further, in another aspect, in these abovementioned biological information measurement device, preferably, the model, a second model where the value and the predetermined statistical parameters obtained by said first model first model as an input variable consists of a, the biological information calculation unit, wherein the statistical parameter determined by the value obtained by the statistical parameter determined by the statistical parameter calculation unit using the first model and the statistical parameters calculator It obtains the predetermined information by using the second model, determining the predetermined biometric information based on the predetermined information obtained.
According to this configuration, since the second model value of the first model as an input variable is used, more accurately the biological information can be measured.
This application is based on Japanese Patent Application No. 2010008012 filed on Jan. 18, 2010, the contents are intended to be included herein.
In order to express the present invention, although the present invention was described appropriately and sufficiently through embodiments with reference to the drawings in the above, it is easily to change and / or improve the above embodiments by those skilled in the art it should be recognized that is to be. Accordingly, modifications or improvements embodiment those skilled in the art to practice as long as not intended levels leaving the scope of the claims claimed, the modifications or the refinement, the scope of the claims It is intended to be encompassed by the.
According to the present invention, it is possible to provide a biological information measuring device and the biological information measuring method for measuring biological information about the living body by measuring the physiological phenomena of living organism.
Claims (9)
 A measuring unit for outputting the measured data by measuring a predetermined physiological phenomena in vivo measurement object,
A histogram calculation unit for obtaining a histogram based on the measurement data measured by the measuring unit,
A statistical parameter calculation unit for obtaining a predetermined statistical parameters in the histogram obtained by the histogram calculation unit,
In the case where the input variables the predetermined statistical parameters as well as the output variable predetermined information for determining the predetermined biometric information related to biometric of the measurement target, a model representing the relationship between the input variables and the output variable previously stored, the calculated the predetermined information by using said statistical parameter obtained by the statistical parameter calculation unit in the model, the biological information calculation for obtaining the predetermined biometric information based on the determined predetermined information biological information measuring device, characterized in that it comprises a part.  A first light of a predetermined first wavelength irradiated on the living body tissue to be measured, a first sensor portion for outputting a first measurement data by receiving the first light transmitted through or reflected from the living tissue of the living body , said second light of a first wavelength different from the predetermined second wavelength is irradiated to the living body tissue of the living body, and outputs the second measurement data by receiving a second light transmitted through or reflected from the living tissue of the living body a measurement unit and a second sensor unit,
A first ratio and the second ratio and the histogram calculation unit for obtaining a histogram of the third ratio is calculated based on the AC component to the DC component in the second measurement data of the AC component to the DC component in the first measurement data,
A statistical parameter calculation unit for obtaining a predetermined statistical parameters in the histogram obtained by the histogram calculation unit,
In the case where the input variables the predetermined statistical parameters as well as the output variable predetermined information for determining the oxygen saturation of the living body of the measurement target in advance a model representing the relationship between the output variable and the input variables stored, obtains the predetermined information by using said statistical parameter obtained by said statistical parameter calculation unit in the model, and the bioinformation calculator for determining the oxygen saturation on the basis of the determined predetermined information the biological information measuring apparatus comprising: a.  The statistical parameters, the biological information measuring apparatus according to claim 1, wherein a plurality.
 The model is a feature in that it comprises as one or more said input variables at least two products and / or the ratio of the plurality of statistical parameters with including as the input variables of each of said plurality of statistical parameters alone biological information measuring apparatus according to claim 3.
 The model is a plurality of models corresponding to the value of the statistic parameter,
The biological information calculation unit, by selectively using the plurality of models in accordance with the value of the statistic parameter, obtains the predetermined information from the statistical parameter obtained by said statistical parameter calculation unit, to the predetermined information obtained based biological information measuring apparatus according to claim 1, characterized in that determining said predetermined biometric information.  The model is composed of a second model for correcting the values obtained by the first model first model,
The biological information calculation unit, the statistical value obtained by said statistical parameter obtained by the parameter calculation unit by using the first model, the statistical parameters the second model the statistical parameters calculated by the calculating unit biometric information according to claim 1, characterized in that determining said predetermined biometric information based on the determined predetermined information, the predetermined information the determined by correcting the correction value obtained by using the measuring device.  The model is composed of a second model as an input variable values and the predetermined statistical parameters obtained by said first model first model,
The biological information calculation unit, the statistical parameters calculated by the statistical parameters obtained the statistical parameters calculated by the calculating unit by using the first model values and said statistical parameter calculating unit in the second model the determined predetermined information, the biological information measuring apparatus according to claim 1, characterized in that determining said predetermined biometric information based on the predetermined information obtained by using.  A measuring step of obtaining measurement data by measuring a predetermined physiological phenomena in vivo measurement object,
A histogram calculation step of obtaining a histogram based on the measurement data obtained by the measuring step,
A statistical parameter calculation step of obtaining a predetermined statistical parameters in the histogram obtained by the histogram calculation step,
In the case where the input variables the predetermined statistical parameters as well as the output variable predetermined information for determining the predetermined biometric information related to biometric of the measurement target, a model representing the relationship between the input variables and the output variable previously stored, the calculated the predetermined information by using said statistical parameter obtained by the statistical parameter calculation unit in the model, the biological information calculation for obtaining the predetermined biometric information based on the determined predetermined information biological information measuring method characterized by comprising the step.  The statistical parameters, the biological information measuring method according to claim 8, wherein a plurality.
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US7509154B2 (en) *  19910307  20090324  Masimo Corporation  Signal processing apparatus 
JP2010000160A (en) *  20080619  20100107  Nippon Koden Corp  Pulse oximetry and pulse oximeter 

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US7509154B2 (en) *  19910307  20090324  Masimo Corporation  Signal processing apparatus 
JP2010000160A (en) *  20080619  20100107  Nippon Koden Corp  Pulse oximetry and pulse oximeter 
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