KR20190030152A - Apparatus and method for measuring bio-information - Google Patents

Abstract

Disclosed is an apparatus for non-invasively measuring bio-information. According to one embodiment of the present invention, the apparatus may comprise: a pulse wave sensor measuring a plurality of pulse wave signals having different wavelengths from an object to be tested; and a processor obtaining an oscillometric waveform shape using the measured pulse wave signals and measuring bio-information based on the obtained oscillometric waveform shape.

Description

[0001] APPARATUS AND METHOD FOR MEASURING BIO-INFORMATION [0002]

The present invention relates to an apparatus and method for measuring bio-information, and relates to a technique for extracting cardiovascular characteristics without using a cuff.

Common techniques for noninvasive extraction of cardiovascular features without the use of compression cuffs include pulse wave analysis and pulse wave velocity.

Pulse wave analysis is a method of extracting cardiovascular characteristics by analyzing the shape of a pulse wave or body pressure signal obtained at the distal end of a finger, such as the fingertip or the radial artery. Blood ejected from the left ventricle causes reflexion at the sites of the large branches such as the renal arteries or the lower aorta, which affects the shape of the optic volume pulse or body pressure wave measured at the body end. Therefore, by analyzing these shapes, it is possible to deduce arteriosclerosis, blood vessel age, and aortic pressure waveform.

The pulse wave velocity method is a method of extracting cardiovascular characteristics such as atherosclerosis and blood pressure by measuring the pulse wave propagation time, and measuring the optic pulse wave of the electrocardiogram and the body terminal to measure the R peak (left ventricular contraction interval) The pulse transit time (PTT) is measured and the approximate length of the arm is divided by the measurement result to determine the rate at which the blood starts from the heart to the end of the body.

A biometric information measuring apparatus and method for correcting distortions of oscillatory signals caused by a capillary optical pulse wave using an optical pulse signal obtained by two or more wavelengths are presented.

According to one aspect, a bio-information measuring apparatus includes a pulse wave sensor that measures a plurality of pulse wave signals having different wavelengths from a subject, an oscillometric waveform using the measured plurality of pulse wave signals, And a processor for measuring biometric information based on the metric waveform.

The pulse wave sensor includes a first pulse wave sensor that includes a first light source for irradiating a light of a first wavelength to a subject and a first detector for measuring a first pulse wave signal in response to light of a first wavelength returned from the subject, A second light source for irradiating the subject with light of a second wavelength different from the first wavelength and a second detector for measuring a second pulse wave signal in response to light of a second wavelength returning from the subject, Sensor.

The processor may include a waveform obtaining unit that obtains an oscillometric waveform based on a difference signal obtained by subtracting a second signal related to a pulse wave signal of a shorter wavelength from a first signal related to a pulse wave signal of a longer wavelength among a plurality of pulse wave signals.

The waveform obtaining unit may normalize a plurality of pulse wave signals and obtain an oscillometric waveform using the normalized pulse wave signal.

At this time, the first signal may be a differential signal obtained by differentiating a pulse wave signal of a long wavelength or a pulse wave signal of a long wavelength, and the second signal may be a differential signal obtained by differentiating a pulse wave signal of a short wavelength or a pulse wave signal of a short wavelength.

The biometric information measuring apparatus may further include a contact pressure sensor for measuring a contact pressure of the subject while the pulse wave signal is being measured.

The processor may include a waveform acquisition section for acquiring an oscillometric waveform based on the plurality of pulse wave signals and the measured contact pressure.

The waveform obtaining unit may exclude noise generated portions from a plurality of pulse wave signals based on the measured contact pressure.

The processor may include a pressure guide to provide contact pressure guidance information to the user while the pulse wave signal is being measured.

The bio-information measuring apparatus may further include an output unit for providing the user with one or more of the measured plurality of pulse wave signals, the measured contact pressure, the contact guide information, and the bio-information measurement result.

Biometric information can include one or more of blood pressure, blood vessel age, atherosclerosis, aortic pressure waveform, blood vessel elasticity, stress index and fatigue.

The bio-information measuring apparatus may further include a communication unit for transmitting one or more of the plurality of measured pulse wave signals and the bio-information measurement result to an external device.

According to one aspect, a bio-information measuring method includes: measuring a plurality of pulse wave signals having different wavelengths from a subject; acquiring an oscillometric waveform using the plurality of measured pulse wave signals; And measuring biometric information based on the metric waveform.

Acquiring an oscillometric waveform may acquire an oscillometric waveform based on a difference signal obtained by subtracting a second signal related to a pulse wave signal of a shorter wavelength from a first signal related to a pulse wave signal of a longer wavelength among a plurality of pulse wave signals.

Obtaining an oscillometric waveform may normalize a plurality of measured pulse wave signals.

The biometric information measuring method may further include measuring contact pressure of the subject while the pulse wave signal is measured.

Obtaining the oscillometric waveform may acquire an oscillometric waveform based on the plurality of pulse wave signals and the measured contact pressure.

Obtaining an oscillometric waveform may exclude noise-generated portions of a plurality of pulse wave signals based on the measured contact pressure.

The biometric information measurement method may further include providing contact pressure guidance information to the user while the pulse wave signal is being measured.

The biometric information measuring method may further include providing the user with at least one of the plurality of measured pulse wave signals, the measured contact pressure, the contact pressure guidance information, and the biometric information measurement result.

According to one aspect, a biometric information measuring apparatus includes a plurality of light sources for irradiating light of different wavelengths to a subject, and a detector for measuring a plurality of pulse wave signals in response to light of different wavelengths returning from the subject A processor that acquires an oscillometric waveform using a pulse wave sensor and a plurality of measured pulse wave signals, and measures biometric information based on the acquired oscillometric waveform.

The processor may include a sensor control unit for sequentially switching the plurality of light sources based on the driving conditions of the plurality of light sources.

The bio-information measuring apparatus may further include a storage unit for storing driving conditions including at least one of a driving sequence of the plurality of light sources and driving time information.

The processor may include a waveform obtaining unit for obtaining an oscillometric waveform based on a difference signal obtained by subtracting a second signal related to a pulse wave signal of a shorter wavelength from a first signal related to a pulse wave signal of a longer wavelength among a plurality of measured pulse wave signals.

The biometric information measuring apparatus may further include a contact pressure sensor for measuring a contact pressure of the subject while the pulse wave signal is being measured.

The processor may include a waveform acquisition unit for acquiring an oscillometric waveform based on the plurality of pulse wave signals and the contact pressure.

According to one aspect, a biometric information measuring apparatus includes a pulse light sensor including a single light source for irradiating light to a subject, and a plurality of detectors for measuring a plurality of pulse wave signals in response to light returning from the subject, A processor that obtains an oscillometric waveform using a pulse wave signal and measures biometric information based on the obtained oscillometric waveform.

At this time, at least a part of the plurality of detectors may include a color filter which passes a preset wavelength band to measure pulse wave signals of different wavelengths.

The processor can acquire the oscillometric waveform based on the difference signal obtained by subtracting the second signal related to the short-wave pulse wave signal from the first signal related to the pulse wave signal of the long wavelength among the measured pulse wave signals of different wavelengths.

The plurality of detectors may be disposed at different distances from a single light source.

The processor is configured to subtract a second signal associated with a pulse wave signal measured from a detector located at a relatively short distance from a first signal associated with the pulse wave signal measured from a detector located at a relatively long distance from a single light source, And may include a waveform obtaining section for obtaining an oscillometric waveform.

By correcting the distortion of the oscillatory signal caused by the capillary optical pulse wave using the optical pulse signal obtained by two or more wavelengths, the accuracy of the measurement of the biological information can be improved.

1 is a block diagram of an apparatus for measuring bio-information according to an embodiment.
Figs. 2A to 2C are embodiments of a pulse wave sensor configuration of the apparatus for measuring bio-information of Fig.
FIG. 3 is an embodiment of a processor configuration of the apparatus for measuring bio-information of FIG.
4A to 4B are views for explaining an example of general bioinformation measurement.
5A and 5B are views for explaining penetration depths of the body surface according to wavelengths.
6A to 6D are views for explaining an example of measuring biometric information.
7A and 7B are views for explaining another example of measuring biometric information.
FIG. 8 is a flowchart of a method of measuring biometric information according to an embodiment.
9 is a block diagram of an apparatus for measuring bio-information according to another embodiment.
FIG. 10 is an embodiment of a processor configuration of the biometric information measuring apparatus of FIG.
11 is a flowchart of a biometric information measurement method according to another embodiment.
12 is a block diagram of an apparatus for measuring bio-information according to another embodiment.
13A and 13B are views for explaining a wearable device according to an embodiment.

The details of other embodiments are included in the detailed description and drawings. The advantages and features of the described techniques, and how to achieve them, will become apparent with reference to the embodiments described in detail below with reference to the drawings. Like reference numerals refer to like elements throughout the specification.

The terms first, second, etc. may be used to describe various elements, but the elements should not be limited by terms. Terms are used only for the purpose of distinguishing one component from another. The singular expressions include plural expressions unless the context clearly dictates otherwise. Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise. Also, the terms "part "," module ", and the like described in the specification mean a unit for processing at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software.

Hereinafter, embodiments of a biometric information measuring apparatus and method will be described in detail with reference to the drawings.

1 is a block diagram of an apparatus for measuring bio-information according to an embodiment. The biometric information estimation apparatus 100 of the present embodiment can be mounted on a terminal such as a smart phone, a tablet PC, a desktop PC, a notebook PC, or the like, or can be manufactured as an independent hardware device. At this time, if the device is manufactured as an independent hardware device, it can be implemented in the form of a wearable device that can be worn on the OBJ so that the user can easily measure the biometric information while carrying it. For example, it can be implemented as a wrist watch type, a bracelet type, a wrist band type, a ring type, a glasses type, or a hair band type. However, the present invention is not limited thereto, and it can be modified according to various purposes such as being manufactured as a fixed type for utilizing biometric information in a medical institution for measurement and analysis.

Referring to FIG. 1, a bio-information measuring apparatus 100 includes a pulse wave sensor 110 and a processor 120.

The pulse wave sensor 110 measures a plurality of photoplethysmography (PPG) signals (hereinafter referred to as "pulse wave signals") from a subject. At this time, the subject on which the pulse wave signal is measured may be a region of the human body which can be in contact with or adjacent to the pulse wave sensor, and may be a part of the human body which can easily measure pulse waves through PPG (photoplethysmography). For example, it may include a region of the wrist surface adjacent to the radial artery, or an upper wrist region through which capillary or venous blood passes. When the pulse wave is measured on the skin surface of the wrist passing through the radial artery, the influence of external factors causing measurement errors such as the thickness of the skin tissue in the wrist may be relatively small. However, the present invention is not limited thereto, and may be a peripheral region of a human body such as a finger or a toe, which is a region having a high blood vessel density in the human body.

The processor 120 may obtain an oscillometric waveform using a plurality of pulse wave signals measured by the pulse wave sensor 110. [ At this time, the plurality of pulse wave signals may be pulse wave signals having different wavelengths. However, the present invention is not limited thereto, and it is possible to obtain an oscillometric waveform using a plurality of pulse wave signals having the same wavelength as described later.

Processor 120 may measure biometric information based on the obtained oscillometric waveform. The biometric information may include, but is not limited to, blood pressure, blood vessel age, atherosclerosis, aortic pressure waveform, stress index and fatigue. Hereinafter, for convenience of explanation, the blood pressure will be described as an example.

For example, when a plurality of pulse wave signals are measured, the processor 120 calibrates a second signal related to a pulse wave signal of a short wavelength in a first signal related to a pulse wave signal having a relatively long wavelength and outputs an oscillometric waveform Can be obtained. At this time, the first signal may be the measured pulse wave signal itself or may be a differential signal that differentiates a pulse wave signal of a long wavelength according to a predetermined differential order. Likewise, the second signal may be the pulse wave signal itself of the measured short wavelength, or it may be a differential signal that differentiates the pulse wave signal of a short wavelength according to a predetermined differential order.

 Further, when the oscillometric waveform is obtained, the feature point can be extracted from the oscillometric waveform, and the extracted feature point can be applied to the blood pressure measurement model to measure the blood pressure. For example, the pulse wave value at the maximum peak point of the oscillometric waveform can be extracted as a feature point for calculating the average blood pressure. Further, the pulse wave values at the left and right side points having a predetermined ratio peak within the range of 0.5 to 0.7 with respect to the maximum peak point can be extracted as feature points for calculating the systolic blood pressure (SBP) and the diastolic blood pressure DBP, respectively.

At this time, the blood pressure measurement model can be defined in advance as a linear function formula as shown in the following equation (1).

Here, y denotes a blood pressure to be obtained, i.e., diastolic blood pressure, systolic blood pressure, mean blood pressure, and the like, and x denotes extracted feature points. Also, a and b are constant values calculated in advance through a preprocessing process and can be defined differently depending on diastolic blood pressure, systolic blood pressure, mean blood pressure, and the like.

Figs. 2A to 2C are embodiments of a pulse wave sensor configuration of the apparatus for measuring bio-information of Fig. 1 to 2C, various embodiments of a pulse wave sensor 110 configuration for measuring a plurality of pulse wave signals having two or more wavelengths from a test body will be described.

Referring to FIG. 2A, the pulse wave sensor 210 according to one embodiment may be formed of an array of pulse wave sensors for measuring a plurality of pulse wave signals having different wavelengths. As shown in the figure, the pulse wave sensor 210 may include a first pulse wave sensor 211 and a second pulse wave sensor 212. However, this is for convenience of description, and there is no particular limitation on the number of pulse wave sensors forming the pulse wave sensor array.

The first pulse-wave sensor 211 may include a first light source 211a for irradiating light of a first wavelength to a subject. Further, when light of the first wavelength irradiated to the subject by the first light source 211a is scattered or reflected from the subject and returns, the first detector, which measures the first pulse wave signal in response to the light of the first wavelength, (211b).

The second pulse-wave sensor 212 may include a second light source 212a for irradiating the subject with light having the second wavelength. When the light of the first wavelength irradiated to the subject by the second light source 212a is scattered or reflected from the subject and returns, the second detector, which measures the second pulse wave signal in response to the light of the second wavelength, Lt; RTI ID = 0.0 > 212b. ≪ / RTI > At this time, the first wavelength and the second wavelength may be different wavelengths.

The first light source 211a and the second light source 212a may include at least one of a light emitting diode (LED), a laser diode, and a phosphor. However, the present invention is not limited thereto. The first detector 211b and the second detector 212b may include a photodiode.

Referring to FIG. 2B, the pulse wave sensor 220 according to another embodiment may include a light source unit 221 including a plurality of light sources 221a and 221b, and a detector 222. FIG. 2B shows two light sources in the light source unit 221, but this is only a convenience of explanation and is not particularly limited to the number of light sources.

The first light source 221a irradiates the subject with light of the first wavelength and the second light source 221b irradiates the subject with light of the second wavelength. At this time, the first wavelength and the second wavelength may be different wavelengths.

The detector 222 can measure a plurality of pulse wave signals in response to light of different wavelengths coming back from the subject.

For example, the first light source 221a and the second light source 221b may be driven by a time division method under the control of the processor 120 to sequentially irradiate the subject with light. At this time, the light source driving conditions such as the emission time, driving sequence, current intensity, and pulse duration of the first light source 221a and the second light source 221b can be set in advance. The processor 120 can control driving of the light sources 221a and 221b with reference to the light source driving conditions.

The detector 222 sequentially irradiates the subject with the first light source 221a and the second light source 221b to sequentially detect light of the first wavelength and light of the second wavelength emitted from the subject, 1 pulse wave signal and the second pulse wave signal can be measured.

Referring to FIG. 2C, the pulse wave sensor 230 according to another embodiment may include a single light source 231 and a detector unit 232. The detector unit 232 may include a first detector 232a and a second detector 232b. 2C shows two detectors in the detector unit 231, but this is only a convenience of explanation and is not particularly limited to the number of detectors.

The single light source 231 can irradiate the subject with light of a single wavelength. At this time, the single light source 231 may be formed to emit light of a wide wavelength band including visible light.

The detector unit 232 can measure a plurality of pulse wave signals in response to light of a single wavelength band emitted from the subject. For this purpose, the detector unit 232 may be formed to have a plurality of different response characteristics.

For example, the first detector 232a and the second detector 232b may be formed of photodiodes having different measurement ranges to react with light of different wavelengths emitted from the subject. Alternatively, a color filter may be mounted on a front surface of a detector such that the first detector 232a and the second detector 232b respond to light of different wavelengths, or a different color filter may be mounted on the front surface of the two detectors .

On the other hand, the first detector 232a and the second detector 232b are arranged at different distances from the single light source 231, A detector disposed at a relatively short distance from a single light source 231 detects light in a short wavelength band and a detector disposed at a relatively long distance from a single light source 231 can detect light in a long wavelength band. Alternatively, the first detector 232a and the second detector 232b disposed at different distances from the single light source 231 may detect the light of the same wavelength. At this time, the distance from the single light source 231 Depending on the distance, the depth of light detected by each detector through the body can be determined.

2A to 2C, embodiments of pulse wave sensors for measuring pulse wave signals of different wavelengths have been described. However, the present invention is not limited thereto, and various configurations are possible to obtain signals of the pulse wave by discriminating the signals according to the depth of the source of the pulse waves.

FIG. 3 is an embodiment of a processor configuration of the apparatus for measuring bio-information of FIG.

Referring to FIG. 3, the processor 120 may include a sensor control unit 310, a waveform acquisition unit 320, and a bio-information measurement unit 330.

The sensor control unit 310 controls the pulse wave sensor 110 to measure a plurality of pulse wave sensors necessary for measuring the living body information. The sensor control unit 310 may receive a biometric information measurement request from a user. Upon receipt of the request for measuring biometric information, the pulse wave sensor 110 may be controlled to generate a control signal to control the pulse wave sensor 110. The sensor driving conditions for controlling the pulse wave sensor can be stored in advance in the storage device. In addition, the sensor driving conditions can be defined for each configuration of the pulse wave sensor. The sensor control unit 310 can control the pulse wave sensor by referring to the sensor driving condition stored in the storage device when the biometric information measurement request is received. At this time, the sensor driving condition may include the emission time of each light source, driving order, current intensity, and pulse duration.

When the waveform obtaining unit 320 receives a plurality of pulse wave signals from the pulse wave sensor 110, the waveform obtaining unit 320 can obtain an oscillometric waveform using a plurality of pulse wave signals. For example, the waveform obtaining unit 320 may obtain an oscillometric waveform based on a first signal related to a pulse wave signal of a long wavelength and a second signal related to a pulse wave signal of a short wavelength among a plurality of pulse wave signals. At this time, the first signal or the second signal may include the measured long-wavelength pulse wave signal or the short-wavelength pulse wave signal itself, the differential signal of each pulse wave signal, and various other modified signals.

For example, if a plurality of pulse wave signals are measured, the waveform obtaining unit 320 may calibrate a pulse wave signal of a short wavelength from a pulse wave signal of a long wavelength and acquire an oscillometric waveform based on the difference signal. At this time, the waveform obtaining unit 320 may normalize the plurality of measured pulse wave signals, and obtain an oscillometric waveform using the normalized pulse wave signal.

As another example, when a plurality of pulse wave signals are measured, the waveform obtaining unit 320 differentiates a plurality of pulse wave signals to derive respective differential signals, differentiates a differential signal of a short wavelength from a differential signal of a long wavelength, You can obtain an oscillometric waveform on a basis. In this case, the order of differential is 1, 2,? n-th order, etc., and can be defined in advance according to the kind of the biological signal and various other criteria.

The bio-information measuring unit 330 may measure the bio-information using the oscillometric waveform obtained by the waveform obtaining unit 320. [ For example, when an oscillometric waveform is obtained, a blood pressure can be measured by extracting a feature point from an oscillometric waveform and applying the extracted feature point to a blood pressure measurement model as shown in the above-mentioned equation (1). For example, the pulse wave value at the maximum peak point of the oscillometric waveform can be extracted as a characteristic point for calculating the mean blood pressure, and the pulse wave values at the left and right side points having the preset ratio peaks within the range of 0.5 to 0.7 with respect to the maximum peak point, (SBP) and diastolic blood pressure (DBP).

4A to 4B are views for explaining an example of general bioinformation measurement.

Referring to FIG. 4A, the blood pressure is measured using a photoelectric pulse wave in a blood pressure measuring apparatus which does not generally use a cuff. At this time, the pulse wave measuring sensor can contact the body surface with various pressures and measure the pulse wave signal at each contact pressure to estimate the local blood pressure. At this time, the optoelectronic pulse wave measured by the pulse wave measuring sensor on the body surface can be observed as the sum of the arterial pulse wave signal expressed deeply at the body surface and the capillary pulse wave signal expressed at a relatively low depth. Here, the capillary pulse wave signal can act as noise in estimating blood pressure using oscillometry.

Referring to FIG. 4B, the signal at the bottom of the graph represents the arterial pulse wave signal S1, the middle pulse wave signal represents the capillary pulse wave signal S2, and the pulse wave signal at the top represents the peripheral And a pulse wave signal S3. The arterial pulse wave signal S1 is mixed with the capillary pulse wave signal S2 and appears as the peripheral pulse wave signal S3 so that the maximum amplitude point related to the blood pressure is detected at the arrow point on the arterial pulse wave signal S1, (Arrow S3). This may reduce the accuracy of blood pressure measurements through the oscillometry. That is, the body surface measurement value is a sum of errors in the arterial blood pressure, resulting in an error with an accurate blood pressure.

5A and 5B are views for explaining penetration depths of the body surface according to wavelengths.

Referring to FIGS. 5A and 5B, the penetration depth of the skin surface differs according to the wavelength of the light irradiated to the skin in the light source. The pulse wave signal (e.g., infrared (IR) pulse wave signal) of the long wavelengths? 2 and? 3 may include both the arterial pulse wave signal and the capillary pulse wave signal. Further, a pulse wave signal (e.g., a green pulse wave signal) of a short wavelength lambda 1 may include only a capillary blood vessel pulse wave signal. According to the present embodiment, by correcting the arterial pulse wave signal using the pulse wave signals of the long wavelengths? 2 and? 3 and the pulse wave signals of the short wavelength? 1, the accuracy can be improved when estimating the blood pressure based on the oscillometric have.

6A to 6D are views for explaining an example of measuring biometric information. An example in which the biometric information measuring apparatus 100 measures biometric information will be described with reference to Figs. 1 to 6D.

6A shows an example in which the bio-information measuring apparatus 100 acquires two pulse wave signals (PPG _Green , PPG _IR ) having different wavelengths from the subject. At this time, the relatively short pulse wave signal PPG _Green includes the capillary pulse wave signal, and the relatively long pulse wave signal PPG _IR may overlap the capillary pulse wave signal and the artery pulse wave signal. For example, the bio-information measuring apparatus 100 may obtain various pulse wave signals of different wavelengths by configuring various pulse wave sensors as described with reference to FIGS. 2A to 2C.

6B illustrates that the bio-information measuring apparatus 100 acquires the second differential signal (SDPPG _Green , SDPPG _IR ) by differentiating the obtained two pulse wave signals (PPG _Green , PPG _IR ) of different wavelengths will be. At this time, the obtained two pulse wave signals (PPG _Green , PPG _IR ) can be normalized and a second derivative signal can be obtained from the normalized pulse wave signal, respectively. Alternatively, when the second derivative signal is obtained, it is also possible to normalize the obtained second derivative signal. The second derivative signal has an acceleration dimension and can therefore be similar to a pressure pulse wave.

6C shows an example in which the bio-information measuring apparatus 100 acquires a differential differential signal by subtracting a differential signal (SDPPG _Green ) of a short wavelength from a differential signal (SDPPG _IR ) of a relatively long wavelength among two obtained second differential signals It is.

FIG. 6D illustrates the acquisition of an oscillometric waveform using the obtained differential differential signal and contact pressure. At this time, the contact pressure can be measured from the subject simultaneously with the measurement of the pulse wave signal. For example, the bio-information measuring apparatus 100 uses the envelope of the differential signal waveform to subtract the minus value from the positive value of the waveform at each measurement time point to determine the peak-to-peak peak-to-peak points. In addition, an oscillometric waveform can be obtained by plotting the peak-to-peak point of the differential differential signal waveform on the basis of the contact pressure value.

When the bio-information measurement apparatus 100 acquires an oscillometric waveform, it is possible to extract the feature point from the oscillometric waveform and measure the blood pressure. For example, the contact pressure value at the point where the maximum peak occurs in the biometric information oscillometric waveform and the pulse wave value of the differential signal can be extracted as feature points for measuring the mean blood pressure (MAP). It is also possible to extract a point at a predetermined ratio of 0.5 to 0.7 on the left and right of the point at which the maximum peak occurs, as feature points for the systolic (SBP) and diastolic (DBP) blood pressures. In addition, when the feature points for the mean blood pressure, the systolic blood pressure, and the diastolic blood pressure are extracted, the bio-information measurement apparatus 100 can measure the respective blood pressures by applying the extracted feature points to the blood pressure estimation equation.

Figs. 7A and 7B are views for explaining an example of measuring a plurality of wavelengths.

1, 7A, and 7B, the pulse wave sensor 110 of the bio-information measuring apparatus 100 according to an embodiment includes a single light source (LED) that emits light of the same wavelength to a subject, (PD1, PD2) disposed on different distances from the photodetector (PD1, PD2). For example, the first detector PD1 may be disposed 5 mm away from the light source (LED), and the second detector PD2 may be disposed 12 mm away from the light source (LED).

When the light source (LED) irradiates the subject with light having the same wavelength, the light of the same wavelength scattered by the object enters the first detector PD1 and the second detector PD2 and enters the first detector PD1 and the second detector PD2 And can be detected by the detector PD2. At this time, the light detected by the first detector PD1 and the second detector PD2, depending on the distance between the light source (LED) and the first detector PD1 and the second detector PD2, Can be determined.

In other words, even if the light source (LED) irradiates light of the same wavelength to the subject, the first detector PD1 disposed at a relatively short distance from the light source (LED) is positioned relatively close to the surface of the body, Or a capillary pulse wave signal or a peripheral pulse wave signal passing through the body surface. In addition, the second detector PD2 disposed at a relatively long distance from the light source (LED) can measure an arterial pulse wave signal passing through a deep position in the body, for example, an arterial blood pressure.

The bio-information measuring apparatus 100 can measure the biometric information based on the first signal related to the pulse wave signal measured by the first detector PD1 and the second signal related to the pulse wave signal measured by the second detector PD2 have. For example, as described above, in the second signal measured at a relatively deep position in the body, an oscillometric waveform is obtained using a difference signal obtained by subtracting a first signal measured at a relatively in-vivo surface from the body, and the obtained oscillometric- Biometric measurements can be measured on a basis. At this time, the first signal may be a pulse wave signal itself detected by the first detector or a differential signal of the pulse wave signal, and the second signal may be a pulse wave signal itself detected by the second detector or a differential signal thereof. However, it is not limited thereto and various modified signals can be utilized.

FIG. 8 is a flowchart of a method of measuring biometric information according to an embodiment.

FIG. 8 is an embodiment of a biometric information measurement method performed by the biometric information measurement device 100 of FIG. Various embodiments of the bio-information measuring method have been described in detail with reference to Figs. 1 to 7B, and will be described in brief below.

First, the bio-information measuring apparatus 100 measures a plurality of pulse wave signals from a subject according to a request for measuring bio-information (810). The biometric information measurement request can be received from the user. However, the present invention is not limited to this and can be automatically generated by the bio-information measuring apparatus 100 when the predetermined criteria are satisfied. For example, the bio-information measuring apparatus 100 may automatically generate a bio-information measurement request control signal when a predetermined period has elapsed or when the bio-information measurement result requires re-measurement. The plurality of pulse wave signals may be pulse wave signals having different wavelengths. Various configurations of pulse wave sensors for measuring pulse wave signals of different wavelengths have been described above.

Next, the bio-information measuring apparatus 100 may acquire an oscillometric waveform using a plurality of measured pulse wave signals (820). For example, when a plurality of pulse wave signals are measured, the living body information measuring apparatus 100 may measure a pulse wave signal of a short wavelength from a pulse wave signal of a relatively long wavelength among a plurality of measured pulse wave signals, Can be obtained. At this time, the bio-information measuring apparatus 100 may normalize the plurality of measured pulse wave signals, if necessary, and obtain a difference signal using the normalized pulse wave signal. Alternatively, a plurality of measured pulse wave signals may be differentiated to acquire respective differential signals, and a difference signal may be obtained using the obtained differential signals. In this case, the differential signal may be a second derivative signal, but is not particularly limited.

Then, the bio-information measuring apparatus 100 can measure the bio-information based on the obtained oscillometric waveform (830). For example, a point at which a maximum peak of an oscillometric waveform occurs can be extracted as a feature point, and biometric information can be measured using extracted feature points.

9 is a block diagram of an apparatus for measuring bio-information according to another embodiment. FIG. 10 is an embodiment of a processor configuration of the biometric information measuring apparatus of FIG.

9, the bio-information measuring apparatus 900 may include a pulse wave sensor 910, a processor 920, and a contact pressure sensor 930. [ 10, the processor 920 may include a sensor control unit 1010, a waveform acquisition unit 1020, a bio-information measurement unit 1030, and a pressure guide unit 1040.

The sensor control unit 1010 may generate a control signal so that the pulse wave sensor 910 and the contact pressure sensor 930 respectively measure the pulse wave signal and the contact pressure from the subject when the biometric information measurement request is received.

The pressure guide unit 1040 may provide contact pressure guide information for guiding the pressure that the user should apply to the pulse wave sensor 910 while the pulse wave signal is being measured. The pressure guide portion 1040 can display the contact pressure guidance information visually or provide it by a non-visual method such as voice.

The contact pressure guidance information may be provided before or after the time when the pulse wave sensor 910 starts measuring the pulse wave signal or simultaneously. The contact pressure guidance information can be continuously provided while the pulse wave signal from the subject is measured by the pulse wave sensor 910. The contact pressure guidance information can be preset for each user based on the user characteristics such as the user's age, sex, health condition, contact area on the subject of the pulse wave sensor 910, and the like. The contact guide information may be the pressure value itself to be applied to the pulse wave sensor 910, but it is not limited thereto, and may include information on the operation of the user for inducing a change in the pressure applied to the pulse wave sensor 910 by the subject .

The pulse wave sensor 910 can measure a plurality of pulse wave signals from the subject while the user changes the contact pressure between the pulse wave sensor 910 and the subject according to the contact pressure guidance information. At this time, the plurality of pulse wave signals may be signals of different wavelengths. The configuration of the pulse wave sensor 910 for acquiring the pulse wave signals of different wavelengths as described above is as described with reference to FIGS. 2A to 2C.

The contact pressure sensor 930 can simultaneously measure the contact pressure between the pulse wave signal 910 and the subject while the pulse wave sensor 910 measures the pulse wave signal. For example, the contact pressure sensor 930 may be comprised of a single module or an array of a plurality of modules. In addition, the contact pressure sensor 930 may be composed of a force sensor and a contact area measuring sensor, or may be constituted by a force sensor and a capacitance sensor array, but is not limited to any particular one.

The pressure guide unit 1040 can continuously receive the contact pressure measurement value from the contact pressure sensor 930 and provide the contact pressure guidance information to the user based on the received contact pressure measurement value. For example, the processor 920 may provide contact guidance information based on the measured contact pressure at a particular point in time and the difference in contact pressure values that the user must apply to the pulse wave sensor 910 at a particular point in time.

The waveform obtaining unit 1020 can receive a plurality of pulse wave signals and contact pressure signals measured for a predetermined time and measure the biometric information using the received plurality of pulse wave signals and contact pressure signals. As described in detail above, the waveform obtaining unit 1020 can obtain a difference signal between a plurality of pulse wave signals, and obtain an oscillometric waveform using a difference signal and a contact pressure signal.

On the other hand, the waveform obtaining unit 1020 can determine a portion where noise occurs in the pulse wave signal measured based on the contact pressure measured by the contact pressure sensor 930. For example, when the contact pressure measured by the contact pressure sensor 930 is out of a predetermined range in comparison with the contact pressure to be applied by the user at a specific time or section while the pulse wave signal is being measured, it is determined that motion noise has occurred . Alternatively, the waveform obtaining unit 1020 may analyze the measured pulse wave signal to determine a non-ideal period in which the pulse wave signal does not show a general pattern as a portion in which the motion noise occurs. Alternatively, when the acceleration sensor is mounted on the living body information measuring device 900, it is possible to determine the time and the section where a sudden change in the acceleration signal occurs during the measurement of the pulse wave signal as a part where the motion noise occurs. The waveform obtaining unit 1020 may obtain an oscillometric waveform using the remaining portion of the pulse wave signal or the contact pressure signal except the portion generated by the motion noise.

The biometric information measuring unit 1030 can extract biometric information from the obtained oscillometric waveform and apply the extracted biometric information to the biometric information measurement model. For example, the bio-information measuring unit 1030 measures a contact pressure value at a point at which a maximum peak occurs in an oscillometric waveform, a point at a preset ratio of 0.5 to 0.7 on the left and right of a point where the maximum peak occurs, . When the biometric information is measured, the measured biometric information, the plurality of measured pulse wave signals, the measured contact pressure value, and the like can be provided to the user by controlling the output module. At this time, the output module may be a display module, a speaker, a haptic device, or the like.

11 is a flowchart of a biometric information measurement method according to another embodiment.

11 is an embodiment of a biometric information measurement method performed by the biometric information measurement device 900 of FIG. 9 and 10, it will be briefly described below.

First, when the biometric information measurement apparatus 900 receives the biometric information measurement request, it can guide the user to the contact pressure (1110). At this time, the contact pressure guide information may include a pressure value itself to be applied to the pulse wave sensor by the user, operation information of the user to induce the pressure change, and the like, and may be provided in various visual or non- have.

While the pulse wave sensor measures the pulse wave, the contact pressure sensor built in the biological information measuring device 900 may measure the contact pressure between the pulse wave sensor and the subject (1120). The bio-information measuring device 900 can continuously guide the contact pressure while the pulse wave sensor measures the pulse wave based on the measured contact pressure value (1110).

The pulse wave sensor can measure a plurality of pulse wave signals from the subject of biological information for a predetermined time (1130). At this time, the plurality of pulse wave signals may be signals having different wavelengths.

On the other hand, the step 1110 of guiding the contact pressure, the step of measuring the contact pressure 1120, and the step of measuring the pulse wave signal 1130 may be performed at the same time for a predetermined time instead of the time after each other.

Then, the bio-information measuring apparatus 900 can acquire an oscillometric waveform using the measured plurality of pulse wave signals (1140). For example, the bio-information measuring apparatus 900 can obtain a second differential signal by second-differentiating a plurality of pulse-wave signals, and obtain an oscillometric waveform using the obtained second-order differential signal. It is possible to calibrate a signal of a short wavelength in a signal of a long wavelength in the second differential signal and acquire an oscillometric waveform based on the measured contact pressure.

Then, the bio-information measuring apparatus 900 can measure the bio-information based on the obtained oscillometric waveform (1150). At this time, the biometric information measuring apparatus 900 can extract biometric information from an oscillometric waveform and apply the biometric information to the biometric information estimation model.

12 is a block diagram of an apparatus for measuring bio-information according to another embodiment.

12, the biometric information measuring apparatus 1200 may include a measuring unit 1210, a processor 1220, a communication unit 1230, an output unit 1240, and a storage unit 1250.

The measuring unit 1210 may include a pulse wave sensor that measures a pulse wave signal from a subject. The measuring unit 1210 may further include a contact pressure sensor for measuring a contact pressure between the pulse wave sensor and the subject while the pulse wave sensor measures the pulse wave signal from the subject.

The processor 1220 controls the other components 1210, 1230, 1240 and 1250 of the bioinformation measuring apparatus 900 and processes various functions based on the results of the operations of the other components 1210, 1230, 1240 and 1250 .

For example, when the biometric information measurement request is received, the processor 1220 controls the measurement unit 1210 to measure the pulse wave signal and / or the contact pressure signal. Further, when the pulse wave signal and / or the contact pressure signal are measured, the biometric information can be measured based on the measured pulse wave signal and / or the contact pressure signal. At this time, the measured pulse wave signal may be a plurality of pulse wave signals having different wavelengths, and an oscillometric wave form may be obtained based on a signal obtained by subtracting a pulse wave signal of a short wavelength from a pulse wave signal of a long wavelength and / or a contact pressure signal, Biometric information can be acquired based on the waveform.

In addition, the processor 1220 may control the output unit 1240 to provide the user with the measured pulse wave signal, contact pressure signal, or biometric information measurement result. The output unit 1240 may display information on the display module under the control of the processor 1220 or may output information using a non-visual method such as voice, vibration, or touch using a speaker module or a haptic module.

In addition, the processor 1220 may store the measured pulse wave signal, contact pressure signal, or biometric information measurement result in the storage unit 1250. In addition, the processor 1220 may refer to the reference information stored in the storage unit 1250 to perform biometric information measurement. At this time, the reference information may include a biometric information measurement model, characteristic information of the user, and the like. The processor 1220 may store the reference information received from the external device 1260 or the reference information input from the user through the communication unit 1230 in the storage unit 1250. [

The storage unit 1250 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, an SD or XD memory A random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM) A magnetic disk, an optical disk, a memory, a magnetic disk, or an optical disk.

In addition, the processor 1220 may control the communication unit 1230 to connect to the external device 1260 and perform necessary functions. At this time, the external device 1260 includes, but is not limited to, a smartphone, a tablet PC, a notebook PC, a desktop PC, a cuff-type blood pressure measuring device, and the like.

For example, when the biometric information is measured, the processor 1220 transmits the biometric information measurement result to the external device 1260 having relatively good computing performance so that information is provided to the user through the output module of the external device 1260 Or various biometric information history management can be enabled. Alternatively, the user may receive the cuff blood pressure from the cuff-type blood pressure measuring device, compare the result with the measured biometric information, and provide the result to the user.

When a control signal is received from the processor 1220, the communication unit 1230 connects to the external device 1260 through the communication technology, and transmits / receives necessary information to / from the external device 1260. Communication technologies include Bluetooth communication, BLE (Bluetooth Low Energy) communication, Near Field Communication unit, WLAN communication, Zigbee communication, IrDA (infrared data association) communication, WFD (Wi-Fi Direct) communication, UWB (ultra wideband) communication, Ant + communication WIFI communication, and mobile communication method.

13A and 13B are views for explaining a wearable device according to an embodiment. Various embodiments of the above-described bio-information measuring device can be mounted on a smart watch or a smart band-type wearable device worn on the wrist as shown in the figure. However, since this is only one example for convenience of explanation, these embodiments should not be construed as being limited to being applied to a smart watch or a smart band type wearable device.

13A and 13B, the wearable device 1300 may include a device body 1310 and a strap 1320.

The strap 1320 may be flexibly configured and may be bent into a shape that is wrapped around the wearer's wrist or is detached from the wearer's wrist. Alternatively, the strap 1320 may be configured in a non-separable band form. At this time, the strap 1320 may be formed to include an air bag or an air bag so as to have elasticity according to a change in pressure applied to the wrist, and may transmit a pressure change of the wrist to the body 1310.

A battery for supplying power to the wearable device may be incorporated in the body 1310 or the strap 1320.

The wearable device 1300 includes a measurement unit 1311 for measuring a living body signal of the subject in the main body 1310 and a measurement unit 1311 for measuring the user's biometric information using the living body signal measured by the measurement unit 1311 A processor 1312 may be included.

The measurement unit 1311 may be mounted on a lower portion of the main body 1310, that is, a portion contacting the subject (e.g., the wrist of a user), and may acquire a bio-signal from the subject according to a control signal from the processor 1312 . The measuring unit 1311 may include a pulse wave sensor 1311a for measuring a pulse wave signal from the subject and a contact pressure sensor 1311b for measuring a contact pressure signal between the pulse wave sensor 1311a and the subject. The contact pressure sensor 1311b may be mounted on the lower portion of the main body 1310 so that the contact pressure sensor 1311b may contact the inside of the main body 1310 which is relatively farther away from the subject than the pulse wave sensor 1311a. As shown in FIG.

The pulse wave sensor 1311a is constituted by at least one light source for irradiating light to a subject and at least one detector for detecting light emitted from the subject, and can measure pulse wave signals of a plurality of different wavelengths from the subject. Various configurations of the pulse wave sensor 1311a for measuring pulse wave signals of a plurality of different wavelengths are described with reference to FIGS. 2A to 2C.

The contact pressure sensor 1311b may be mounted on the main body 1310 in a laminated form with the pulse wave sensor 1311a. The contact pressure sensor 1311b can measure the contact pressure between the pulse wave sensor 1311a and the subject while the pulse wave sensor 1311a measures the pulse wave signal from the subject. For example, the contact pressure sensor 1311b includes a force sensor and an area sensor, and the contact pressure can be calculated using the measured values through these sensors. However, the present invention is not limited thereto.

For example, the contact pressure sensor 1311b may measure the contact pressure of the test object transmitted to the main body 1310 through the strap 1320 that wraps the wrist and fixes the main body 1310 to the test body. For example, while the pulse wave signal is being measured, the contact pressure between the subject and the pulse wave sensor 1311a can be changed by adjusting the tension of the strap by changing the thickness of the wrist on which the user wears the main body 1310. [

As another example, the user may press the display portion 1314 with a finger or the like to gradually increase the pressure, or gradually decrease the pressure while depressing the display portion 1314. In this case, the contact pressure between the pulse wave sensor 1311a and the inspected object Can be changed. At this time, the display unit 1314 can display guidance information for guiding a change in the contact pressure, such as the intensity that the user presses with the finger while measuring the pulse wave signal. At this time, the guide information may include the intensity of the reference pressure, the finger position, the actually measured contact pressure, and the like. However, the present invention is not limited to the above-described examples, and various changes in the contact pressure can be given.

The processor 1312 may control the measuring unit 1311 by generating a control signal according to a user's request. In addition, the processor 1312 can receive the measured pulse wave signal and / or contact pressure signal from the measuring unit 1311 and measure the biometric information such as blood pressure using the received pulse wave signal and / or contact pressure signal .

For example, the processor 1312 may obtain an oscillometric waveform using a plurality of measured pulse wave signals and a contact pressure signal and measure the blood pressure based on the oscillometric method. For example, the processor 1312 may obtain a difference signal by subtracting a pulse wave signal of a short wavelength from a pulse wave signal of a long wavelength from a plurality of pulse wave signals, and acquire an oscillometric waveform using the obtained difference signal and the contact pressure signal. At this time, a plurality of pulse wave signals are differentiated to generate a differential signal, and the differential signal can be obtained using the generated differential signal. In this case, the degree of differential is not particularly limited. When the oscilloscope waveform is acquired, the processor 1312 can extract the feature point from the oscillometric waveform and measure the blood pressure by applying the extracted feature point to the blood pressure estimation model.

Meanwhile, when the biometric information measurement request is received from the user, the processor 1312 outputs a contact pressure through the display unit 1314 so that the user can apply pressure to the main body to change the contact pressure between the pulse wave sensor 1311a and the subject Can guide. At this time, the guidance of the contact pressure can guide the contact pressure value that the user has to apply, but it is not limited to this, and it is also possible to guide the action that the user must take to apply pressure to the body.

In addition, the processor 1312 can feedback the contact pressure to the user based on the measured contact pressure when the contact pressure sensor 1311b measures the contact pressure between the pulse wave sensor 1311a and the subject. At this time, the user can apply an appropriate strength of pressure based on the feedback contact pressure information.

The processor 1312 can manage information on the estimated biometric information, such as blood pressure history information, bio-signals used for measuring each blood pressure, and feature points, in the storage device. Further, it is possible to generate and manage additional information necessary for a user's healthcare, such as an alarm or warning information related to the estimated biometric information, a change in health status, and the like in the storage device.

The wearable apparatus 1300 may further include an operation unit 1315 and a display unit 1314 that are mounted on the body 1310.

The operation unit 1315 may receive a control command of the user and may transmit the control command to the processor 1312 and may include a power button for inputting a command to turn on / off the power of the wearable device 1300.

The display unit 1314 may provide various information related to the detected biometric information to the user under the control of the processor 1312. [ For example, the display 1314 may display additional information such as detected blood pressure, alarm, warning, etc. to the user in various visual / non-visual ways.

The main body 1310 may further include a communication unit 1313 for communicating with an external device such as a user's portable terminal in the internal space.

The communication unit 1313 can communicate with an external device of a user having a relatively high computing capability under the control of the processor 1312 to transmit and receive necessary information. For example, the communication unit 1313 may receive a biometric information estimation request from the portable terminal of the user. In addition, the extracted feature points or feature information may be transmitted to an external device to request estimation of biometric information. In addition, the biometric information estimation result may be transmitted to an external device so that the biometric information is displayed to the user through a display with better performance, or may be utilized for various purposes such as biometric information history management and disease research.

In the meantime, the embodiments can be embodied in a computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.

Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device and the like, and also a carrier wave (for example, transmission via the Internet) . In addition, the computer-readable recording medium may be distributed over network-connected computer systems so that computer readable codes can be stored and executed in a distributed manner. And functional programs, codes, and code segments for implementing the present embodiments can be easily deduced by programmers of the art to which the present invention belongs.

It will be understood by those skilled in the art that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

100, 900, 1200: Biometric information measuring device
110, 210, 220, 230, 910: pulse wave sensor
120, 920, 1220: Processor 211: First pulse-wave sensor
211a: first light source 211b: second detector
212: second pulse wave sensor 212a: second light source
212b: second detector 221:
221a: first light source 221b: second light source
222: Detector 231: Light source
232: Detector part 232a: First detector
232b: second detector 310, 1010: sensor controller
320 and 1020: waveform acquisition units 330 and 1030:
930: Contact pressure sensor 1040: Pressure guide
1210: Sensor 1230:
1240: output unit 1250: storage unit
1300: Wearable device 1310: Body
1311: Measuring section 1311a: Light source
1311b: Detector 1312: Processor
1313: communication unit 1314:
1315: operating part 1320: strap

Claims (31)

A pulse wave sensor for measuring a plurality of pulse wave signals having different wavelengths from a subject; And
And a processor for acquiring an oscillometric waveform using the measured plurality of pulse wave signals and measuring biometric information based on the obtained oscillometric waveform. The method according to claim 1,
The pulse wave sensor
A first pulse wave sensor including a first light source for irradiating light of a first wavelength to a subject and a first detector for measuring a first pulse wave signal in response to light of a first wavelength returning from the subject; And
A second light source for irradiating the subject with light having a second wavelength different from the first wavelength and a second detector for measuring a second pulse wave signal in response to light having a second wavelength returned from the subject, A biometric information measuring device including a pulse wave sensor. The method according to claim 1,
The processor
And a waveform obtaining unit for obtaining an oscillometric waveform based on a difference signal obtained by subtracting a second signal related to a short-wave pulse wave signal from a first signal related to a pulse wave signal of a long wavelength among the plurality of pulse wave signals. The method of claim 3,
The waveform obtaining unit
Wherein the plurality of pulse wave signals are normalized, and an oscillometric waveform is obtained using the normalized pulse wave signal. The method of claim 3,
Wherein the first signal is a differential signal obtained by differentiating the pulse wave signal of the long wavelength or the pulse wave signal of the long wavelength,
Wherein the second signal is a differential signal obtained by differentiating the pulse wave signal of the short wavelength or the pulse wave signal of the short wavelength. The method according to claim 1,
And a contact pressure sensor for measuring a contact pressure of the subject while the pulse wave signal is being measured. The method according to claim 6,
The processor
And a waveform obtaining unit obtaining an oscillometric waveform based on the plurality of pulse wave signals and the measured contact pressure. 8. The method of claim 7,
The waveform obtaining unit
And excludes a portion where noise is generated in the plurality of pulse wave signals based on the measured contact pressure. The method according to claim 6,
The processor
And a pressure guide unit for providing contact pressure guide information to the user while the pulse wave signal is being measured. 10. The method of claim 9,
And an output unit for providing the user with at least one of the measured plurality of pulse wave signals, the measured contact pressure, the contact guide information, and the biometric information measurement result. The method according to claim 1,
The biometric information
A bioinformation measuring device comprising at least one of blood pressure, blood vessel age, atherosclerosis, aortic pressure waveform, blood vessel elasticity, stress index and fatigue. The method according to claim 1,
And a communication unit for transmitting at least one of the measured plurality of pulse wave signals and biometric information measurement results to an external device. Measuring a plurality of pulse wave signals having different wavelengths from a subject;
Obtaining an oscillometric waveform using the plurality of measured pulse wave signals; And
And measuring biometric information based on the obtained oscillometric waveform. 14. The method of claim 13,
The step of acquiring the oscillometric waveform
And acquiring an oscillometric waveform based on a difference signal obtained by subtracting a second signal related to a short-wave pulse wave signal from a first signal related to a pulse wave signal of a long wavelength among the plurality of pulse wave signals. 14. The method of claim 13,
The step of acquiring the oscillometric waveform
And measuring the plurality of pulse wave signals. 14. The method of claim 13,
And measuring the contact pressure of the subject while the pulse wave signal is being measured. 17. The method of claim 16,
The step of acquiring the oscillometric waveform
And obtaining an oscillometric waveform based on the plurality of pulse wave signals and the measured contact pressure. 18. The method of claim 17,
The step of acquiring the oscillometric waveform
Wherein the portion of the plurality of pulse-wave signals where the noise occurs is excluded based on the measured contact pressure. 18. The method of claim 17,
Further comprising the step of providing contact pressure guidance information to a user while the pulse wave signal is being measured. 20. The method of claim 19,
And providing the user with at least one of the measured plurality of pulse wave signals, the measured contact pressure, the contact pressure guidance information, and the biometric information measurement result. A pulse wave sensor including a plurality of light sources for irradiating the subject with light of different wavelengths and a detector for measuring a plurality of pulse wave signals in response to light of different wavelengths returning from the subject; And
And a processor for acquiring an oscillometric waveform using the measured plurality of pulse wave signals and measuring biometric information based on the obtained oscillometric waveform. 22. The method of claim 21,
The processor
And a sensor control unit for sequentially switching the plurality of light sources based on a driving condition of the plurality of light sources. 23. The method of claim 22,
And a storage unit that stores driving conditions including at least one of a driving sequence of the plurality of light sources and driving time information. 22. The method of claim 21,
The processor
And a waveform obtaining unit for obtaining an oscillometric waveform based on a difference signal obtained by subtracting a second signal related to a short-wave pulse wave signal from a first signal related to a pulse wave signal of a long wavelength among the plurality of pulse wave signals. 22. The method of claim 21,
And a contact pressure sensor for measuring a contact pressure of the subject while the pulse wave signal is being measured. 26. The method of claim 25,
The processor
And a waveform obtaining unit obtaining an oscillometric waveform based on the plurality of pulse wave signals and the contact pressure. A pulse wave sensor including a single light source for irradiating light to a subject and a plurality of detectors for measuring a plurality of pulse wave signals in response to light returning from the subject; And
And a processor for acquiring an oscillometric waveform using the measured plurality of pulse wave signals and measuring biometric information based on the obtained oscillometric waveform. 28. The method of claim 27,
At least some of the plurality of detectors
And a color filter that passes a predetermined wavelength band to measure pulse wave signals of different wavelengths. 29. The method of claim 28,
The processor
And a waveform obtaining unit for obtaining an oscillometric waveform based on a difference signal obtained by subtracting a second signal related to a short-wave pulse wave signal from a first signal related to a pulse wave signal of a long wavelength among the measured pulse wave signals of different wavelengths, Device. 28. The method of claim 27,
Wherein the plurality of detectors are disposed at different distances from the single light source. 31. The method of claim 30,
The processor
A second signal related to a pulse wave signal measured from a detector disposed at a relatively short distance from a first signal related to a pulse wave signal measured from a detector disposed at a relatively long distance from the single light source, And a waveform obtaining unit for obtaining a waveform.

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