JP7069598B2 - Bioanalyzers, bioanalysis methods and programs - Google Patents

Description

The present invention relates to a technique for analyzing a living body.

Various measurement techniques for analyzing biological information such as blood pressure have been conventionally proposed. For example, Patent Document 1 discloses a blood pressure measuring device that measures blood pressure in a state where a measurement target portion is pressed against a pressure sensor. Specifically, when the contact pressure detected by the pressure sensor reaches a predetermined value, the blood pressure is measured using an optical blood flow sensor.

Re-table 2015-199159

However, in the technique of Patent Document 1, an error due to the difference in contact pressure may occur. In consideration of the above circumstances, it is an object of the present invention to calculate an index related to blood pressure of a living body with high accuracy.

In order to solve the above problems, the bioanalyzer according to a preferred embodiment of the present invention has a blood vessel diameter index relating to a blood vessel diameter of a living body and a blood pressure of light reflected and received inside the living body by irradiation with laser light. It is provided with an average blood pressure calculation unit that calculates an average blood pressure index related to the average blood pressure of the living body according to the blood pressure index related to the blood flow of the living body, which is calculated from the intensity spectrum of the living body. In the above embodiment, since the mean blood pressure index is calculated according to the blood vessel diameter index and the blood pressure index, it is not necessary to press the living body. Therefore, the mean blood pressure index of the living body can be calculated with high accuracy.

In a preferred embodiment of the present invention, the mean blood pressure calculation unit calculates the mean blood pressure index according to the mean value obtained by averaging the blood vessel diameter index for the analysis period and the mean value obtained by averaging the blood flow index over the analysis period. In the above aspects, the mean blood pressure index is calculated according to the mean value obtained by averaging the blood vessel diameter index for the analysis period and the mean value obtained by averaging the blood flow index over the analysis period. Therefore, the number of calculations (for example, division) using the blood vessel diameter index and the blood flow index is reduced compared to the configuration in which the blood pressure at one time point calculated from the blood vessel diameter index and the blood flow index is averaged within the analysis period. can.

In a preferred embodiment of the present invention, the blood vessel diameter index is a blood volume index relating to the blood volume of a living body, and is average when the average value of the blood volume index is _Mave and the average value of the blood flow index is _Ave. The blood vessel index is calculated according to _Fave / _Mave ^4/3 . The tendency that the mean blood pressure correlates with _Fave / _Mave ^4/3 can be used to calculate the mean blood pressure index with high accuracy.

In a preferred embodiment of the invention, the blood volume index is calculated from the intensity spectrum. In the above embodiment, since the blood volume index is calculated from the intensity spectrum, the intensity spectrum common to the calculation of the blood flow rate index and the calculation of the blood volume index can be used.

In a preferred embodiment of the present invention, the blood vessel diameter index is an absorbance index relating to the absorbance of a living body, which is calculated from a photoelectric volume pulse wave indicating the light receiving level of light received from the living body. In the above embodiment, the blood volume index calculated from the intensity spectrum is used as the blood vessel because the absorbance index related to the absorbance of the living body is used as the blood vessel diameter index, which is calculated from the photoelectric volume pulse wave indicating the light receiving level of the light received from the living body. Compared with the configuration used as the diameter index, the processing load for calculating the blood vessel diameter index is reduced.

The bioanalytical device according to a preferred embodiment of the present invention is attached to the upper arm or wrist of a living body. According to the above aspects, the bioanalytical device can be easily attached to the living body.

In a preferred embodiment of the present invention, a blood vessel diameter index is used by using a light emitting unit that irradiates a living body with laser light, a light receiving unit that receives laser light reflected inside the living body, and a detection signal indicating the light receiving level by the light receiving unit. The average blood pressure calculation unit calculates the average blood pressure index from the blood vessel diameter index and the blood pressure index calculated by the index calculation unit.

In a preferred embodiment of the present invention, the blood vessel calculation unit calculates the blood volume index by integrating the intensities of each frequency in the intensity spectrum with respect to the frequency of the detection signal for a predetermined frequency range.

In a preferred embodiment of the present invention, the blood vessel calculation unit calculates the blood flow index by integrating the product of the intensity of each frequency in the intensity spectrum with respect to the frequency of the detection signal and the frequency in a predetermined frequency range.

The biological analysis method according to a preferred embodiment of the present invention is calculated from a blood vessel diameter index relating to a blood vessel diameter of a living body and an intensity spectrum relating to the frequency of light reflected and received inside the living body by irradiation with a laser beam, and is calculated from the intensity spectrum of the living body. The average blood pressure index according to the average blood pressure of the living body is calculated according to the blood pressure index related to the blood flow volume.

The program according to a preferred embodiment of the present invention is calculated from a blood vessel diameter index relating to a blood vessel diameter of a living body and an intensity spectrum relating to the frequency of light reflected and received inside the living body by irradiation with laser light, and is calculated from the blood pressure of the living body. The computer functions as an average blood pressure calculation unit that calculates an average blood pressure index according to the average blood pressure of the living body according to the blood flow index.

It is a side view of the bioanalysis apparatus which concerns on 1st Embodiment of this invention. It is a graph which shows the time change of blood pressure. It is a schematic diagram of the blood vessel of the arm part. It is a graph which shows the relationship between the distance from the heart and the blood pressure. It is a block diagram focusing on the function of a bioanalyzer. It is a flowchart of the bioanalysis process executed by the control device. It is a flowchart which shows the specific content of the process of calculating the mean blood pressure. It is a block diagram of the biological analysis apparatus which concerns on 3rd Embodiment. The light emitting unit and the light receiving unit determine the quality of the SN ratio in the frequency band used for calculating the blood flow index among the detected signals and the quality of the SN ratio in the frequency band used for calculating the absorbance index among the detected signals. It is a table which shows a plurality of cases where the distance of is changed. It is a block diagram of the biological analysis apparatus which concerns on 4th Embodiment. It is a schematic diagram which shows the use example of the bioanalysis apparatus which concerns on 5th Embodiment. It is a schematic diagram which shows the other use example of the bioanalyzing apparatus which concerns on 5th Embodiment. It is a block diagram of an actual product. It is a graph which shows the relationship between the mean blood pressure displayed about the actual product, and the mean blood pressure displayed about the product of this application. It is a block diagram of the biological analysis apparatus in the modification. It is a block diagram of the biological analysis apparatus in the modification. It is a block diagram of the biological analysis apparatus in the modification.

<First Embodiment>
FIG. 1 is a side view of the bioanalytical apparatus 100 according to the first embodiment of the present invention. The biological analysis device 100 is a measuring device that non-invasively measures the biological information of a subject. The bioanalyzing device 100 of the first embodiment measures the mean blood pressure Pave of a specific part (hereinafter referred to as “measurement part”) H in the body of the subject as biometric information. In the following description, the wrist or upper arm of the subject will be exemplified as the measurement site H.

FIG. 2 is a graph showing the time-varying PT of blood pressure P. In the first embodiment, the mean blood pressure Pave is measured in the analysis period (about 0.5 to 1 second) T corresponding to one beat of the beat. The time length of the analysis period T is not limited to one beat. Pmax in FIG. 2 is systolic blood pressure (maximum blood pressure), and Pmin is diastolic blood pressure (minimum blood pressure). Further, ΔP is the difference (that is, pulse pressure) between the systolic blood pressure Pmax and the diastolic blood pressure Pmin.

FIG. 3 is a schematic diagram of blood vessels in the arm. FIG. 3 illustrates an artery (eg, radial artery) V1 and an arteriole (eg, finger artery) V2 connected to the artery V1. As exemplified in FIG. 3, the point X1 is a predetermined point in the artery V1, the point X2 is a point between the artery V1 and the arteriole V2, and the point X3 is the point of erasure of the arteriole V2. That is, point X1 is closer to the heart than point X3.

The relationship between the blood pressure P1 at the point X1 in the artery V1, the blood pressure P2 at the point X2 between the artery V1 and the arteriole V2, and the blood pressure P3 at the peripheral point X3 of the arteriole V2 is Hagen-Poiseuil ( Using Hagen-Poiseuille)'s law, it is expressed by the following formulas (1) and (2). The symbol L1 in the equation (1) is the length of the artery V1, the symbol Q1 is the blood flow volume of the artery V1, and the symbol d1 is the blood vessel diameter (radius) of the artery V1. The symbol L2 in the equation (2) is the length of the arteriole V2, the symbol Q2 is the blood flow volume of the arteriole V2, and the symbol d2 is the blood vessel diameter (radius) of the arteriole V2. Further, the symbol ρ in the formula (1) and the formula (2) is the blood density.

The amount of change in blood pressure from point X1 to point X3 (that is, P1-P3) is expressed by the following mathematical formula (3) using mathematical formulas (1) and (2).

FIG. 4 is a graph showing the relationship between the distance from the heart and blood pressure. As can be seen from FIG. 4, the amount of change in blood pressure from point X1 to point X2 (P1-P2) tends to be sufficiently smaller than the amount of change in blood pressure from point X2 to point X3 (P2-P3). be. Specifically, the amount of change (P1-P2) is about 1 to 5 mmHg, while the amount of change (P2-P3) is about 100 mmHg. It is also known that the blood pressure P3 at the peripheral point X3 of the arteriole V2 is very small (for example, several mmHg). Therefore, assuming that the amount of change (P1-P2) and blood pressure P3 is 0 mmHg, the following mathematical formula (4) is derived from the mathematical formula (3).

Since the blood density ρ varies from person to person, it can be set to a predetermined value (for example, 1070 kg / m ³ ). Further, the distance L2 can be set to a predetermined value estimated from the height, gender, etc. of the subject. That is, it is possible to calculate the blood pressure P1 of the artery by calculating the blood flow Q2 of the arteriole V2 and the blood vessel diameter d2.

The bioanalytical device 100 of FIG. 1 is attached to the measurement site H (upper arm or wrist). The bioanalytical device 100 of the first embodiment is a wristwatch-type portable device including a housing portion 12 and a belt 14. The bioanalytical device 100 is attached to the body of the subject by winding the belt 14 around the measurement site H. In the first embodiment, the bioanalytical device 100 is attached to a position where an arteriole exists inside the measurement site H.

FIG. 5 is a configuration diagram focusing on the function of the bioanalytical device 100. The bioanalytical device 100 of the first embodiment includes a control device 21, a storage device 22, a display device 23, and a detection device 30A. The control device 21 and the storage device 22 are installed inside the housing portion 12.

As exemplified in FIG. 1, the display device 23 (for example, a liquid crystal display panel) is installed on the surface of the housing portion 12 opposite to the measurement portion H. The display device 23 displays various images including the measurement results under the control of the control device 21.

The detection device 30A is an optical sensor module that generates a detection signal ZA according to the state of the measurement site H. Specifically, the detection device 30A includes a light emitting unit E and a light receiving unit R. The light emitting portion E and the light receiving portion R are installed, for example, at a position facing the measurement portion H (typically, a surface in contact with the measurement portion H) in the housing portion 12.

The light emitting unit E is a light source that irradiates the measurement site H with light. The light emitting unit E of the first embodiment irradiates the measurement site H (living body) with a coherent laser beam in a narrow band. For example, a light emitting element such as a VCSEL (Vertical Cavity Surface Emitting LASER) that emits laser light by resonance in a resonator is suitably used as a light emitting unit E. The light emitting unit E of the first embodiment irradiates the measurement site H with light having a predetermined wavelength (for example, 800 nm to 1300 nm) in the near infrared region, for example. The light emitting unit E emits light under the control of the control device 21. The light emitted by the light emitting unit E is not limited to near-infrared light.

The light incident on the measurement portion H from the light emitting portion E is emitted to the housing portion 12 side after repeating diffuse reflection while passing through the inside of the measurement portion H. Specifically, the light that has passed through the blood vessel (specifically, the arteriole) existing inside the measurement site H and the blood in the blood vessel is emitted from the measurement site H to the housing portion 12 side.

The light receiving unit R receives the laser light reflected inside the measurement site H. Specifically, the light receiving unit R generates a detection signal ZA according to the light receiving level of the light passing through the measurement site H. For example, a light receiving element such as a photodiode (PD) that generates an electric charge according to the light receiving intensity is used as the light receiving unit R. Specifically, a light receiving element in which a photoelectric conversion layer is formed of InGaAs (indium gallium arsenide) showing high sensitivity in the near infrared region is suitable as the light receiving portion R. As can be understood from the above description, the detection device 30A of the first embodiment is a reflection type optical sensor in which the light emitting unit E and the light receiving unit R are located on one side with respect to the measurement portion H. However, a transmissive optical sensor in which the light emitting unit E and the light receiving unit R are located on opposite sides of the measurement portion H may be used as the detection device 30A. The detection device 30A includes, for example, a drive circuit that drives the light emitting unit E by supplying a drive current, and an output circuit that amplifies and A / D converts the output signal of the light receiving unit R (for example, an amplifier circuit and an A / D converter). ), But the illustration of each circuit is omitted in FIG.

The light that reaches the light receiving portion R is a component that is diffusely reflected by a tissue that is stationary inside the measurement site H (stationary tissue) and an object that moves inside the blood vessel inside the measurement site H (typically red blood cells). Includes diffusely reflected components. The frequency of light does not change before and after diffuse reflection in stationary tissue. On the other hand, before and after diffuse reflection in erythrocytes, the frequency of light changes by the amount of change (hereinafter referred to as "frequency shift amount") proportional to the movement speed (that is, blood flow velocity) of erythrocytes. That is, the light that passes through the measurement portion H and reaches the light receiving portion R contains a component that fluctuates (frequency shifts) by the frequency shift amount with respect to the frequency of the light emitted by the light emitting portion E. As understood from the above description, the detection signal ZA supplied to the control device 21 is an optical beat signal reflecting the frequency shift due to the blood flow inside the measurement site H.

The control device 21 is an arithmetic processing device such as a CPU (Central Processing Unit) or an FPGA (Field-Programmable Gate Array), and controls the entire bioanalysis device 100. The storage device 22 is composed of, for example, a non-volatile semiconductor memory, and stores a program executed by the control device 21 and various data used by the control device 21. It should be noted that a configuration in which the functions of the control device 21 are distributed in a plurality of integrated circuits, or a configuration in which some or all of the functions of the control device 21 are realized by a dedicated electronic circuit can also be adopted. Further, although the control device 21 and the storage device 22 are shown as separate elements in FIG. 5, the control device 21 including the storage device 22 can be realized by, for example, an ASIC (Application Specific Integrated Circuit) or the like.

The control device 21 of the first embodiment has a plurality of functions (index calculation unit 51) for calculating the mean blood pressure Pave from the detection signal ZA generated by the detection device 30A by executing the program stored in the storage device 22. And the mean blood pressure calculation unit 55) is realized. A part of the functions of the control device 21 may be realized by a dedicated electronic circuit.

The index calculation unit 51 calculates the blood vessel diameter index and the blood flow volume index F of the measurement site H from the detection signal ZA generated by the detection device 30A. The blood vessel diameter index is an index relating to the blood vessel diameter (further, the cross-sectional area of the blood vessel) of a living body. Blood volume fluctuates in synchronization with the pulsation of the blood vessel diameter synchronized with the heartbeat. That is, the blood vessel diameter index also correlates with blood volume. In consideration of the above correlation, in the first embodiment, the blood volume index M is exemplified as a blood vessel diameter index. The blood volume index M (so-called MASS value) is an index relating to the blood volume of a living body (specifically, the number of red blood cells in a unit volume). On the other hand, the blood flow rate index F (so-called FLOW value) is an index relating to the blood flow rate of a living body (that is, the volume of blood moving in an artery within a unit time). The blood flow index F is also paraphrased as an index related to blood flow velocity.

The index calculation unit 51 calculates an intensity spectrum from the detection signal ZA, and calculates a blood volume index M and a blood flow volume index F from the intensity spectrum. The intensity spectrum is the distribution of the intensity (power or amplitude) G (f) of the signal component of the detection signal ZA at each frequency (Doppler frequency) on the frequency axis. A known frequency analysis such as Fast Fourier Transform (FFT) may be arbitrarily adopted for the calculation of the intensity spectrum. The calculation of the intensity spectrum is performed iteratively in a shorter cycle compared to the analysis period T.

The blood volume index M is expressed by the following mathematical formula (5a). The symbol <I ² > in the equation (5a) is the average intensity over the entire band of the detection signal ZA, or the intensity G (0) (that is, the intensity of the DC component) at 0 Hz in the intensity spectrum.

As understood from the equation (5a), the blood volume index M is obtained by integrating the intensity G (f) of each frequency f in the intensity spectrum for the range between the lower limit value fL and the upper limit value fH on the frequency axis. It is calculated. The lower limit value fL is lower than the upper limit value fH. The blood volume index M may be calculated by the following formula (5b) in which the integral of the formula (5a) is replaced with the sum (Σ). The symbol Δf in the equation (5b) is the bandwidth corresponding to one intensity G (f) on the frequency axis, and each rectangle when the intensity spectrum is approximated by a plurality of rectangles arranged on the frequency axis. Corresponds to the width. The calculation of the blood volume index M is repeatedly performed in a shorter cycle as compared with the analysis period T. As can be understood from the above explanation, the blood volume index M is obtained from the intensity spectrum of the frequency of the light reflected and received inside the living body by the irradiation of the laser beam (specifically, the intensity of each frequency in the intensity spectrum). Calculated (accumulated over a given frequency range).

The blood flow index F is expressed by the following mathematical formula (6a).

As understood from the equation (6a), the first-order moment (f × G (f)), which is the product of the intensity G (f) of each frequency f in the intensity spectrum and the frequency f, is the lower limit value on the frequency axis. The blood flow index F is calculated by integrating the range between fL and the upper limit value fH. The blood flow index F may be calculated by the following formula (6b) in which the integral of the formula (6a) is replaced with the sum (Σ). The calculation of the blood flow index F is repeatedly performed in a shorter cycle as compared with the analysis period T. As can be understood from the above explanation, the blood flow index F is derived from the intensity spectrum of the frequency of the light reflected and received inside the living body by the irradiation of the laser beam (specifically, the intensity of each frequency in the intensity spectrum). It is calculated (by integrating the product with the frequency for a predetermined frequency range).

The mean blood pressure calculation unit 55 in FIG. 5 calculates the mean blood pressure Pave of the living body according to the blood volume index M and the blood pressure index F calculated by the index calculation unit 51. Specifically, the mean blood pressure calculation unit 55 calculates the mean blood pressure Pave according to the average value Mave of the blood volume index M averaged for the analysis period T and the mean value Fave of the blood flow index F averaged for the analysis period T. Calculate. The mean value Mave is an average (for example, a simple average or a weighted average) of a plurality of blood volume indexes M calculated within the analysis period T. The mean value Fave is an average (for example, a simple average or a weighted average) of a plurality of blood flow indicators F calculated within the analysis period T.

As described above, the blood volume index M correlates with the blood vessel diameter d. Specifically, the cube root (M ^1/3 ) of the blood volume index M corresponds to the blood vessel diameter d2. Further, the blood flow index F corresponds to the blood flow Q2. Considering the above relationship, the above formula (4) is transformed into the following formula (7).

The mean blood pressure calculation unit 55 of the first embodiment calculates the mean blood pressure Pave by the calculation of the mathematical formula (7). The symbol K is a predetermined coefficient according to the blood density ρ, the length L2 of the arteriole, and the like. As can be understood from the formula (7), the mean blood pressure Pave is calculated according to Fave / Mave ^4/3 . The coefficient K is set from, for example, the measured value of the mean blood pressure Pave actually measured using a cuff or the like and the calculated value of Fave / Mave ^4/3 in the formula (7) (for example, K = measured value / calculation). value). The control device 21 causes the display device 23 to display the mean blood pressure Pave calculated by the mean blood pressure calculation unit 55.

FIG. 6 is a flowchart of a process (hereinafter referred to as “biological analysis process”) executed by the control device 21. The bioanalysis process of FIG. 6 is executed for each analysis period T on the time axis. When the bioanalysis process is started, the index calculation unit 51 calculates the blood volume index M at each of the plurality of time points in the analysis period T (Sa1). The above-mentioned mathematical formula (5a) or mathematical formula (5b) is used for calculating the blood volume index M. Next, the index calculation unit 51 calculates the blood flow index F at each of the plurality of time points in the analysis period T (Sa2). The above-mentioned mathematical formula (6a) or mathematical formula (6b) is used for calculating the blood flow index F. The mean blood pressure calculation unit 55 calculates the mean blood pressure Pave according to the blood volume index M and the blood pressure index F calculated by the index calculation unit 51 (Sa3). The control device 21 causes the display device 23 to display the mean blood pressure Pave calculated by the mean blood pressure calculation unit 55 (Sa4). The order of the calculation of the blood volume index M (Sa1) and the calculation of the blood flow index F (Sa2) may be reversed. By executing the bioanalysis process described above for each analysis period T, a time series of a plurality of mean blood pressure Pave (that is, a time change of the mean blood pressure Pave) is calculated.

FIG. 7 is a flowchart showing the specific contents of the process Sa3 for calculating the mean blood pressure Pave. The mean blood pressure calculation unit 55 calculates the mean value Mave obtained by averaging the blood volume index M for the analysis period T (Sa3-1). The mean blood pressure calculation unit 55 calculates the mean value Fave obtained by averaging the blood pressure index F for the analysis period T (Sa3-2). Then, the mean blood pressure calculation unit 55 calculates the mean blood pressure Pave according to the mean value Mave and the mean value Fave (Sa3-3). Specifically, the mean blood pressure Pave is calculated according to Fave / Mave ^4/3 . The order of the calculation of the mean value Mave (Sa3-1) and the calculation of the mean value Fave (Sa3-2) may be reversed.

As described above, in the first embodiment, the mean blood pressure Pave is calculated according to the blood vessel diameter index (blood volume index M) and the blood flow volume index F. Here, for example, in a configuration in which it is necessary to press the living body to calculate the mean blood pressure (for example, a configuration in which the mean blood pressure is calculated using a cuff or the like), an error due to the difference in pressing pressure may occur. On the other hand, in the first embodiment, since the mean blood pressure Pave is calculated according to the blood vessel diameter index (blood volume index M) and the blood pressure index F, it is not necessary to press the living body. As a result, the mean blood pressure Pave can be calculated with high accuracy by reducing the error caused by the difference in the pressing force.

By the way, it is also possible to use a blood flow velocity sensor that irradiates a living body with ultrasonic waves to calculate the blood flow index F. However, when an ultrasonic irradiation type blood flow velocity sensor is used, the blood flow index F affects the skin thickness of the measurement site and the conditions (degree of adhesion and pressure) in which the ultrasonic irradiation surface comes into contact with the living body. , It is actually difficult to identify an index related to blood pressure (for example, average blood pressure) with high accuracy. In addition, when an ultrasonic irradiation type blood flow velocity sensor is used, there is also a problem that the size of the bioanalytical device becomes large. On the other hand, in the first embodiment, since the laser beam is used for calculating the blood flow index F, the influence of the skin thickness and the like is reduced as compared with the case where the ultrasonic irradiation type blood flow velocity sensor is used. The average blood pressure Pave can be measured with high accuracy. It is also possible to reduce the size of the bioanalytical device 100.

<Second Embodiment>
A second embodiment of the present invention will be described. For the elements whose actions or functions are the same as those of the first embodiment in each of the embodiments exemplified below, the reference numerals used in the description of the first embodiment will be diverted and detailed description of each will be omitted as appropriate.

The absorbance Abs of blood fluctuates in conjunction with the pulsation of the blood vessel diameter. That is, the absorbance Abs correlates with the blood vessel diameter. Specifically, the relationship between the absorbance Abs and the blood vessel diameter d is expressed by the following mathematical formula (8). The symbol ε in the equation (8) is the molar extinction coefficient, and the symbol c is the red blood cell concentration. For the above reasons, in the second embodiment, the index (hereinafter referred to as “absorbance index”) J relating to the absorbance Abs of the living body is exemplified as a blood vessel diameter index.

The index calculation unit 51 of the second embodiment calculates the absorbance index J and the blood flow index F similar to that of the first embodiment. Absorbance Abs is expressed by the following equation (9). The symbol I of the equation (9) is the intensity of the signal component of the detection signal ZA, and the symbol I0 is the intensity of the light incident on the measurement site (the intensity of the light emitted from the light emitting unit E). The following equation (10) is derived from equations (8) and (9).

The molar extinction coefficient ε and the red blood cell concentration c can be set to predetermined values. That is, the blood vessel diameter d can be calculated by calculating the common logarithm (log (I / I0)) of the ratio of the intensity I0 to the intensity I. Therefore, the index calculation unit 51 of the second embodiment calculates the common logarithm (log (I / I0)) of the ratio between the intensity I0 and the intensity I as the absorbance index J. The intensity I0 is set to a predetermined value, and the intensity I is calculated from a photoelectric volume pulse wave indicating the light receiving level of the light received from the living body (measurement site H). That is, the absorbance index J is calculated from the photoelectric volume pulse wave. The photoelectric volume pulse wave is generated from the detection signal ZA generated by the detection device 30A. For example, a photoelectric volume pulse wave is generated by a filter process that suppresses a high frequency component of the detection signal ZA output by the detection device 30A and an amplification process that amplifies the signal after the filter process. The blood flow index F is calculated by the same method as in the first embodiment.

The mean blood pressure calculation unit 55 of the second embodiment calculates the mean blood pressure Pave from the absorbance index J and the blood pressure index F calculated by the index calculation unit 51. Specifically, the mean blood pressure calculation unit 55 calculates the mean blood pressure index according to the average value Jave obtained by averaging the absorbance index J for the analysis period T and the mean value Fave averaging the blood flow index F for the analysis period T. do. As described above, the absorbance index J correlates with the blood vessel diameter d2, and the blood flow index F corresponds to the blood flow Q2. Considering the above relationship, the following mathematical formula (11) is derived from the above mathematical formulas (4) and (10). The mean blood pressure calculation unit 55 calculates the mean blood pressure Pave by the calculation of the mathematical formula (11). The symbol K is a predetermined coefficient according to the blood density ρ, the length L2 of the arteriole, and the like. The coefficient K is a predetermined coefficient according to the molar absorption coefficient ε, the red blood cell concentration c, the blood density ρ, the length L2 of the arteriole, and the like. As understood from the equation (11), the mean blood pressure Pave of the second embodiment is calculated according to Fave / Jave ⁴ . The coefficient K is set from, for example, an actually measured value actually measured using a cuff or the like and a calculated value of Fave / Jave ⁴ in the mathematical formula (11) (for example, K = actually measured value / calculated value).

The content of the biological analysis process in the second embodiment is the same as that in the first embodiment illustrated in FIG. However, in step Sa1 of FIG. 6, the index calculation unit 51 calculates the absorbance index J instead of the blood volume index M. Further, in step Sa3-1 of FIG. 7, the mean blood pressure calculation unit 55 calculates the mean value Jave of the absorbance index J instead of the mean value Mave of the blood volume index M.

The same effect as that of the first embodiment is realized in the second embodiment. In the second embodiment, in particular, since the absorbance index J calculated from the photoelectric volume pulse wave indicating the light receiving level of the light received from the living body is used as the blood vessel diameter index, the blood volume index M calculated from the intensity spectrum is used. Compared with the configuration of the first embodiment used as the blood vessel diameter index, the processing load for calculating the blood vessel diameter index is reduced.

<Third Embodiment>
In the third embodiment, as in the second embodiment, the mean blood pressure Pave is calculated according to the absorbance index J and the blood pressure index F. However, in the second embodiment, the detection signal ZA generated by the common light receiving unit E was used for the calculation of the absorbance index J and the calculation of the blood flow rate index F, but in the third embodiment, the calculation of the absorbance index J The detection signal Z generated by a separate light receiving unit is used for the calculation of the blood flow rate index F.

FIG. 8 is a block diagram of the bioanalytical device 100 according to the third embodiment. The detection device 30A in the bioanalytical device 100 of the third embodiment includes a light emitting unit E and two light receiving units R (R1 and R2). Similar to the second embodiment, the light emitting unit E irradiates the measurement site H (living body) with a coherent laser beam in a narrow band. As in the second embodiment, each light receiving unit R receives the light reflected by the laser light inside the measurement site H. Each light receiving unit R is installed at a position where the distances from the light emitting unit E are different from each other. Details of the position where each light receiving unit R is installed in the detection device 30A will be described later. Specifically, the light receiving unit R1 generates a detection signal ZA1 according to the light receiving level of the light passing through the measurement site H, and the light receiving unit R2 corresponds to the light receiving level of the light passing through the measurement site H. Generates the detection signal ZA2. The detection signal ZA1 is used to calculate the blood flow index F. On the other hand, the detection signal ZA2 is used for calculating the absorbance index J.

The index calculation unit 51 of the third embodiment calculates the blood flow index F from the detection signal ZA1 generated by the light receiving unit R1, and calculates the absorbance index J from the detection signal ZA2 generated by the light receiving unit R2. The blood flow index F and the absorbance index J are calculated by the same method as in the second embodiment. The mean blood pressure calculation unit 55 of the third embodiment calculates the mean blood pressure Pave from the absorbance index J and the blood pressure index F calculated by the index calculation unit 51, as in the second embodiment.

Hereinafter, the position where each light receiving unit R is installed in the detection device 30A will be described. Here, among the detection signals Z, the frequency band used for calculating the blood flow index F (frequency fL to fH in the mathematical formula (5b)) is different from the frequency band used for calculating the absorbance index J. The distance between the light emitting unit E and the light receiving unit R1 (for example, the distance between the center of the light emitting unit E and the light receiving unit R1) from which the detection signal ZA1 having a high SN ratio can be obtained in the frequency band suitable for calculating the blood flow index F, It is different from the distance between the light emitting unit E and the light receiving unit R2 (for example, the distance between the center of the light emitting unit E and the light receiving unit R2) where the detection signal ZA2 having a high SN ratio can be obtained in the frequency band suitable for calculating the absorbance index J. do.

FIG. 9 shows the quality of the SN ratio in the frequency band used for calculating the blood flow index F in the detection signal ZA1 and the quality of the SN ratio in the frequency band used for calculating the absorbance index J in the detection signal ZA2. Is a table showing a plurality of cases in which the distance between the light emitting unit E and the light receiving unit R is changed. As can be seen from FIG. 9, the SN ratio of the frequency band used for calculating the blood flow index F in the detection signal ZA1 is when the distance between the light emitting unit E and the light receiving unit R1 is 0.5 mm or more and 2 mm or less. Shows a high value. On the other hand, it was found that the SN ratio of the frequency band used for calculating the absorbance index J in the detection signal ZA2 shows a high value when the distance between the light emitting unit E and the light receiving unit R2 is 3 mm or more and 5 mm or less. Was done.

Based on the above findings, in the third embodiment, the distances between the light receiving unit R1 and the light receiving unit R2 from the light emitting unit E are individually set. For example, the distance between the light receiving unit R1 and the light emitting unit E is set to a distance at which the detection signal ZA1 having a high SN ratio can be obtained in a frequency band suitable for calculating the blood flow index F, and the light receiving unit R2 and the light emitting unit E are set to a distance. The distance is set to a distance at which the detection signal ZA2 having a high SN ratio can be obtained in a frequency band suitable for calculating the absorbance index J. Specifically, based on the results shown in FIG. 9, the distance between the light emitting unit E and the light receiving unit R1 is set to 0.5 mm or more and 2 mm or less, and between the light emitting unit E and the light receiving unit R2. The distance is set to 3 mm or more and 5 mm or less (preferably 4 mm).

The same effect as that of the second embodiment can be obtained in the third embodiment. In the third embodiment, in particular, since the light receiving unit R1 for calculating the blood flow index F and the light receiving unit R2 for calculating the absorbance index J are separate, in a frequency band suitable for calculating the blood flow index F. It is possible to generate the detection signal ZA1 having a high SN ratio and the detection signal ZA2 having a high SN ratio in a frequency band suitable for calculating the absorbance index J. Therefore, the mean blood pressure Pave can be calculated with high accuracy as compared with the configuration in which the light receiving unit R common to the calculation of the absorbance index J and the calculation of the blood flow index F is used.

<Fourth Embodiment>
In the fourth embodiment, a configuration in which the blood pressure P is calculated using the mean blood pressure Pave calculated in the first embodiment is illustrated. FIG. 10 is a block diagram of the bioanalytical device 100 according to the fourth embodiment. The bioanalytical device 100 of the fourth embodiment has a configuration in which a detection device 30B, a pulse pressure calculation unit 53, and a blood pressure calculation unit 57 are added to the bioanalysis device 100 of the first embodiment. The pulse pressure calculation unit 53 and the blood pressure calculation unit 57 are realized by the control device 21 executing the program stored in the storage device 22.

The detection device 30B is a detection device that generates a detection signal ZB according to the state of the measurement site H (specifically, the blood vessel inside the measurement site H). For example, a device such as an optical sensor module or an ultrasonic sensor module is suitably used as the detection device 30B. The pulse pressure calculation unit 53 calculates the pulse pressure ΔP from the detection signal ZB generated by the detection device 30B. The pulse pressure ΔP in the analysis period T illustrated in FIG. 2 is calculated. A known technique can be arbitrarily adopted for the calculation of the pulse pressure ΔP. The mean blood pressure calculation unit 55 calculates the mean blood pressure Pave as in the first embodiment.

The blood pressure calculation unit 57 in FIG. 10 calculates the blood pressure P from the pulse pressure ΔP calculated by the pulse pressure calculation unit 53 and the mean blood pressure Pave calculated by the mean blood pressure calculation unit 55. The blood pressure calculation unit 57 of the fourth embodiment calculates systolic blood pressure Pmax and diastolic blood pressure Pmin. As exemplified in FIG. 2, the systolic blood pressure Pmax is the systolic blood pressure in the analysis period T, and the diastolic blood pressure Pmin is the diastolic blood pressure in the analysis period T. The following equations (12) and (13) are approximately established between the mean blood pressure Pave, the pulse pressure ΔP, the systolic blood pressure Pmax, and the diastolic blood pressure Pmin. The blood pressure calculation unit 57 calculates the systolic blood pressure Pmax by the following formula (12), and calculates the diastolic blood pressure Pmin by the following formula (13). The control device 21 causes the display device 23 to display the systolic blood pressure Pmax and the diastolic blood pressure Pmin calculated by the blood pressure calculation unit 57.

Also in the fourth embodiment, the same effect as that of the first embodiment is realized. In the fourth embodiment, in particular, since the blood pressure P (systolic blood pressure Pmax and diastolic blood pressure Pmin) is calculated from the pulse pressure ΔP and the average blood pressure Pave, the error caused by the difference in pressing force is reduced and the accuracy is high. Blood pressure P can be calculated.

<Fifth Embodiment>
FIG. 11 is a schematic diagram showing a usage example of the bioanalytical apparatus 100 in the fifth embodiment. As illustrated in FIG. 11, the bioanalytical device 100 includes a detection unit 71 and a display unit 72 that are configured as separate bodies from each other. The detection unit 71 includes the detection device 30 exemplified in each of the above-described embodiments. FIG. 11 illustrates a detection unit 71 in a form worn on the upper arm of a subject. As illustrated in FIG. 12, a detection unit 71 worn on the wrist of the subject is also suitable.

The display unit 72 includes the display device 23 exemplified in each of the above-described embodiments. For example, an information terminal such as a mobile phone or a smartphone is a suitable example of the display unit 72. However, the specific form of the display unit 72 is arbitrary. For example, a wristwatch-type information terminal that can be carried by the subject, or a dedicated information terminal of the bioanalytical device 100 may be used as the display unit 72.

An element for calculating the mean blood pressure Pave from the detection signal ZA (hereinafter referred to as “calculation processing unit”) is mounted on the display unit 72, for example. The arithmetic processing unit includes the elements exemplified in FIG. 3 (index calculation unit 51 and mean blood pressure calculation unit 55). The detection signal ZA generated by the detection device 30 of the detection unit 71 is transmitted to the display unit 72 by wire or wirelessly. The arithmetic processing unit of the display unit 72 calculates the mean blood pressure Pave from the detection signal ZA and displays it on the display device 23. It is also possible to mount the pulse pressure calculation unit 53 and the blood pressure calculation unit 57 exemplified in the fourth embodiment on the display unit 72.

The arithmetic processing unit may be mounted on the detection unit 71. The arithmetic processing unit calculates the mean blood pressure Pave from the detection signal ZA generated by the detection device 30, and transmits data for displaying the mean blood pressure Pave to the display unit 72 by wire or wirelessly. The display device 23 of the display unit 72 displays the mean blood pressure Pave indicated by the data received from the detection unit 71. Further, the arithmetic processing unit may transmit to the data display unit 72 for displaying the blood pressure calculated in the fourth embodiment.

<Examination of the presence or absence of each configuration>
As illustrated in each of the above-described embodiments, a preferred embodiment of the present invention employs a configuration (hereinafter referred to as “configuration A”) in which the mean blood pressure Pave is calculated from the blood vessel diameter index and the blood flow rate index F. The method of determining whether or not the actual bioanalytical device (hereinafter referred to as “actual product”) 90 adopts the configuration A will be described below. Hereinafter, the bioanalyzing device 100 confirmed to adopt the configuration A is referred to as "the product of the present application".

As illustrated in FIG. 13, the actual product 90 includes a detection device 91 including a light emitting unit E and a light receiving unit R, a processing unit 93 that calculates a mean blood pressure PWave from a detection signal output by the detection device 91, and a processing unit 93. It is provided with a display device 95 for displaying the mean blood pressure PWave calculated by. It is assumed that a plurality of (for example, three or more types) test signals U having different waveforms within the analysis period T are sequentially supplied to the processing unit 93 of the actual product 90 and the control device of the product of the present application. For the actual product 90, each test signal U (U1, U2, U3) is supplied to the processing unit 93 (for example, wiring and terminals between the detection device 91 and the processing unit 93). For example, each test signal U is generated by a signal generator such as a pulse generator. The plurality of test signals U differ in Fave / Mave ^4/3 (Fave / Jave ⁴ in the products of the present application of the second embodiment and the third embodiment). For example, among the Fave / Mave ^4/3 calculated for each of the plurality of test signals U, a plurality of test signals U are generated so that the difference between the maximum value and the minimum value is doubled or more. The test signal U may be generated for a waveform having a time length longer than the analysis period T.

It is assumed that the mean blood pressure Pave of the subject is displayed as a measurement result on the display device 95 of the actual product 90. When the test signal U1 is supplied to the actual product 90, the mean blood pressure PWave1 is displayed, when the test signal U2 is supplied to the actual product 90, the mean blood pressure PWave2 is displayed, and when the test signal U3 is supplied to the actual product 90. It is assumed that the mean blood pressure PWave3 is displayed. Further, the mean blood pressure Pave1 is displayed when the test signal U1 is supplied to the product of the present application, the mean blood pressure Pave2 is displayed when the test signal U2 is supplied to the product of the present application, and the average when the test signal U3 is supplied to the product of the present application. Assume that blood pressure Pave 3 is displayed.

FIG. 14 is a graph showing the relationship between the mean blood pressure PWave displayed for the actual product 90 and the mean blood pressure Pave displayed for the product of the present application. When the configuration A is adopted for the actual product 90, a plurality of mean blood pressure PWave (mean blood pressure PWave1, mean blood pressure PWave2, mean blood pressure PWave3) measured by the actual product 90 and a plurality of mean blood pressure Pave measured by the present product. A correlation is observed with (Pave1, Pave2, Pave3). Specifically, the correlation coefficient between the plurality of mean blood pressure PWave displayed for the actual product 90 and the plurality of mean blood pressure Pave displayed for the product of the present application is 0.8 or more. In consideration of the above circumstances, the phase of the mean blood pressure Pave calculated by supplying a plurality of test signals U to the actual product 90 and the mean blood pressure Pave calculated by supplying a plurality of test signals U to the product of the present application. When the number of relations is 0.8 or more, it is highly possible that the configuration A is adopted for the actual product 90. As the correlation coefficient, for example, Pearson's integrated correlation coefficient is suitable.

In the above description, the test signal U is supplied to the processing unit 93 of the actual product 90, but the light receiving unit R that generates the detection signal in the actual product 90 receives light such that the test signal U is generated. The mean blood pressure PWave calculated in this manner may be compared with the mean blood pressure Pave of the product of the present application. Further, in the above description, the mean blood pressure PWave displayed on the display device 95 of the actual product 90 and the mean blood pressure Pave displayed on the display device of the present application product are compared, but the data is output from the processing unit 93 of the actual product 90. The presence or absence of the configuration A in the actual product 90 may be determined by comparing the data with the data output from the control device of the product of the present application.

In the above description, it is assumed for convenience that the actual product 90 displays the mean blood pressure PWave, but when the actual product 90 displays the blood pressure P (Pmax and Pmin) of the subject, the actual product 90 can be displayed by the same method. It is possible to estimate the presence or absence of the configuration A in. That is, a plurality of blood pressures measured by sequentially supplying a plurality of test signals U to the actual product 90 and a plurality of test signals U measured by sequentially supplying the product of the present application (fourth embodiment). Calculate the correlation coefficient between multiple blood pressures. When the correlation coefficient is 0.8 or more, it is highly possible that the actual product 90 adopts the configuration A.

<Modification example>
Each of the above-exemplified forms can be variously modified. Specific modes of modification are illustrated below. It is also possible to appropriately merge two or more embodiments arbitrarily selected from the following examples.

(1) In each of the above-mentioned forms, the mean blood pressure Pave is calculated, but the biological information calculated by the bioanalytical device 100 is not limited to the above examples. For example, using the calculated mean blood pressure Pave, the mean blood pressure calculation unit 55 may specify an index (for example, abnormal / high / normal, etc.) indicating the state of the subject's mean blood pressure Pave. As understood from the above explanation, the index calculated by the mean blood pressure calculation unit 55 is comprehensively expressed as an index related to the mean blood pressure Pave (hereinafter referred to as “mean blood pressure index”), and the mean blood pressure index includes the mean blood pressure Pave. It includes both itself and an index calculated using the mean blood pressure Pave.

(2) In each of the above-mentioned forms, the blood vessel diameter index (blood volume index M or the absorbance index J) corresponds to the average value averaged for the analysis period T and the blood pressure index F corresponds to the average value Fave averaged for the analysis period T. However, the method for calculating the mean blood pressure Pave is not limited to the above examples. Further, the time length of the analysis period T for averaging the blood vessel diameter index and the time length of the analysis period T for averaging the blood flow index F are different from each other, or the analysis period T for averaging the blood vessel diameter index and the blood flow index F. It is also possible to adopt a configuration in which the analysis period T on which the blood is averaged does not overlap on the time axis.

Further, in the first embodiment (further, the fourth embodiment and the fifth embodiment), the average value Mave is calculated from the average of the plurality of blood volume indexes M in the analysis period T, and the average of the plurality of blood flow index Fs F. The average value Fave was calculated by the above method, but the method for calculating the average value Mave and the average value Fave is not limited to the above examples. For example, the average intensity spectrum may be calculated by averaging a plurality of intensity spectra calculated at different time points within the analysis period T, and the average value Mave and the average value Fave may be calculated by calculation for the average intensity spectrum. Similarly, the average value Jave in the second embodiment and the third embodiment can be calculated from the average intensity spectrum. If the mean intensity <I ² > fluctuates within the analysis period T, it may not be possible to properly calculate the mean blood pressure Pave in the configuration using the mean intensity spectrum. Therefore, from the viewpoint of calculating the mean blood pressure Pave with high accuracy even when the mean intensity <I ² > fluctuates, as in the example of the first embodiment described above, the mean value Mave and the mean value Mave at each time point in the analysis period T A configuration for calculating the average value Fave is suitable.

(3) In the first embodiment (further, the fourth embodiment and the fifth embodiment), the detection signal ZA generated by the common light receiving unit R is used for the calculation of the blood volume index M and the calculation of the blood volume index F. However, it is also possible to use the detection signal Z generated by the separate light receiving unit R for the calculation of the blood vessel diameter index and the calculation of the blood flow rate index F. Specifically, the detection device 30A includes a light emitting unit E and two light receiving units R (R1 and R2), and the intensity spectrum of the detection signal Z generated by the light receiving unit R1 is used for calculating the blood volume index M. Then, the intensity spectrum of the detection signal Z generated by the light receiving unit R2 is used for calculating the blood flow index F. However, according to the configuration of the first embodiment in which the detection signal ZA generated by the common light receiving unit R is used for the calculation of the blood volume index M and the calculation of the blood flow volume index F, the calculation of the blood volume index M and the blood flow volume An intensity spectrum common to the calculation of index F can be used.

(4) In each of the above-described embodiments, the bioanalytical device 100 configured as a single device is exemplified, but as shown in the following examples, a plurality of elements of the bioanalytical device 100 can be realized as devices that are separate from each other. .. In the following description, the element for calculating the mean blood pressure Pave from the detection signal Z is referred to as “calculation processing unit 27”. The arithmetic processing unit 27 includes, for example, the elements exemplified in FIG. 5 (index calculation unit 51 and mean blood pressure calculation unit 55).

In each of the above-described embodiments, the bioanalytical device 100 including the detection device 30 (30A, 30B) is illustrated, but as illustrated in FIG. 15, the detection device 30 may be separated from the bioanalysis device 100. is assumed. The detection device 30 is a portable optical sensor module mounted on the measurement site H such as the wrist or upper arm of the subject. The bioanalytical device 100 is realized by an information terminal such as a mobile phone or a smartphone. The bioanalytical device 100 may be realized by a wristwatch type information terminal. The detection signal Z generated by the detection device 30 is transmitted to the bioanalysis device 100 by wire or wirelessly. The arithmetic processing unit 27 of the bioanalytical device 100 calculates the mean blood pressure Pave from the detection signal Z and displays it on the display device 23. As understood from the above description, the detection device 30 may be omitted from the bioanalysis device 100.

In each of the above-described embodiments, the bioanalytical device 100 including the display device 23 is illustrated, but as illustrated in FIG. 16, a configuration in which the display device 23 is separate from the bioanalytical device 100 is also assumed. The arithmetic processing unit 27 of the bioanalytical device 100 calculates the mean blood pressure Pave from the detection signal Z, and transmits data for displaying the mean blood pressure Pave to the display device 23. The display device 23 may be a dedicated display device, but may be mounted on, for example, an information terminal such as a mobile phone or a smartphone, or a wristwatch-type information terminal that can be carried by a subject. The mean blood pressure Pave calculated by the arithmetic processing unit 27 of the bioanalytical device 100 is transmitted to the display device 23 by wire or wirelessly. The display device 23 displays the mean blood pressure Pave (blood pressure in the fourth embodiment) received from the bioanalytical device 100. As understood from the above description, the display device 23 may be omitted from the bioanalytical device 100.

As illustrated in FIG. 17, it is assumed that the detection device 30 and the display device 23 are separate from the bioanalysis device 100 (calculation processing unit 27). For example, the bioanalytical device 100 (calculation processing unit 27) is mounted on an information terminal such as a mobile phone or a smartphone.

It is also possible to mount the index calculation unit 51 on the detection device 30 in a configuration in which the detection device 30 and the bioanalysis device 100 are separated. The blood vessel diameter index and blood flow index F calculated by the index calculation unit 51 are transmitted from the detection device 30 to the bioanalysis device 100 by wire or wirelessly. As understood from the above description, the index calculation unit 51 may be omitted from the bioanalytical device 100.

(5) In each of the above-described embodiments, the wristwatch-type bioanalytical device 100 including the housing portion 12 and the belt 14 is exemplified, but the specific form of the bioanalytical device 100 is arbitrary. For example, a patch type that can be attached to the subject's body, an ear-mounted type that can be attached to the subject's ear, a finger-mounted type that can be attached to the subject's fingertips (for example, a nail-attached type), or a subject's head that can be attached. Any form of bioanalytical device 100, such as a head-mounted type, can be adopted.

(6) In each of the above-described embodiments, the mean blood pressure Pave of the subject (blood pressure P in the fourth embodiment) is displayed on the display device 23, but the configuration for notifying the subject of the mean blood pressure Pave is not limited to the above examples. .. For example, it is also possible to notify the subject of the mean blood pressure Pave by voice. In the ear-worn bioanalytical apparatus 100 that can be worn on the selvage of the subject, a configuration in which the mean blood pressure Pave is notified by voice is particularly suitable. In addition, it is not essential to notify the subject of the mean blood pressure Pave. For example, the mean blood pressure Pave calculated by the bioanalytical device 100 may be transmitted from the communication network to another communication device. Further, the mean blood pressure Pave may be stored in a portable recording medium that can be attached to and detached from the storage device 22 of the bioanalytical device 100 or the bioanalytical device 100.

(7) The bioanalytical device 100 according to each of the above-mentioned embodiments is realized by the cooperation between the control device 21 and the program as described above. The program according to a preferred embodiment of the present invention may be provided and installed in a computer in a form stored in a computer-readable recording medium. It is also possible to provide a program stored in a recording medium included in a distribution server to a computer in the form of distribution via a communication network. The recording medium is, for example, a non-transitory recording medium, and an optical recording medium (optical disc) such as a CD-ROM is a good example, but a known arbitrary such as a semiconductor recording medium or a magnetic recording medium. Can include recording media in the form of. The non-transient recording medium includes any recording medium other than the transient propagation signal (transitory, propagating signal), and does not exclude the volatile recording medium.

100 ... Bioanalysis device, 12 ... Housing unit, 14 ... Belt, 21 ... Control device, 22 ... Storage device, 23 ... Display device, 27 ... Arithmetic processing unit, 30 ... Detection device, 51 ... Index calculation unit, 53 ... Pulse pressure calculation unit, 55 ... mean blood pressure calculation unit, 57 ... blood pressure calculation unit, 71 ... detection unit, 72 ... display unit, 90 ... actual product, 91 ... detection device, 93 ... processing unit, E ... light emitting unit, R ... Light receiving section.

Claims (14)

_Mave , the average value of the blood volume index related to the blood volume of the living body,
Calculated from the intensity spectrum of the light received from the living body, the average value _Fave of the blood flow index regarding the blood flow of the living body and
A bioanalyzer comprising an average blood pressure calculation unit for calculating an average blood pressure index relating to the mean blood pressure of the living body according to F _ave / _Mave ^4/3 . Calculated from the intensity spectrum of light received from the living body, the blood volume index related to the blood volume of the living body and
Calculated from the intensity spectrum, the blood flow index related to the blood flow of the living body and the blood flow index
A biological analysis device provided with an average blood pressure calculation unit that calculates an average blood pressure index related to the average blood pressure of the living body according to the above. Calculated from the photoelectric volume pulse wave indicating the light receiving level of the light received from the living body, the average value _Jave of the absorbance index relating to the absorbance of the living body is used.
Calculated from the intensity spectrum of the light received from the living body, the average value _Fave of the blood flow index regarding the blood flow of the living body and
From the above, a biological analysis device including an average blood pressure calculation unit that calculates an average blood pressure index related to the average blood pressure of the living body according to _Fave / _Jav ⁴ . A light emitting part that irradiates a living body with laser light,
A light receiving unit that receives the laser beam reflected inside the living body, and a light receiving portion.
An index calculation unit that calculates a blood vessel diameter index relating to the blood vessel diameter of the living body and a blood vessel volume index relating to the blood flow volume of the living body by using a detection signal indicating the light receiving level by the light receiving unit.
It is provided with an average blood pressure calculation unit that calculates an average blood pressure index related to the average blood pressure of the living body according to the blood vessel diameter index and the blood flow index.
The blood vessel diameter index is a blood volume index relating to the blood volume of the living body.
The index calculation unit
A bioanalyzer that calculates the blood volume index by integrating the intensity of each frequency in the intensity spectrum related to the frequency of the detection signal for a predetermined frequency range. The index calculation unit
The bioanalytical device according to claim 4, wherein the product of the intensity of each frequency in the intensity spectrum and the frequency is integrated over the frequency range to calculate the blood flow index. The biological analysis device according to any one of claims 1 to 5, which is attached to the upper arm or wrist of the living body. _Mave , the average value of the blood volume index related to the blood volume of the living body,
Calculated from the intensity spectrum of the light received from the living body, the average value _Fave of the blood flow index regarding the blood flow of the living body and
From, a biological analysis method for calculating an average blood pressure index according to the average blood pressure of the living body according to F _ave / _Mave ^4/3 . Calculated from the intensity spectrum of light received from the living body, the blood volume index related to the blood volume of the living body and
Calculated from the intensity spectrum, the blood flow index related to the blood flow of the living body and the blood flow index
A biological analysis method for calculating an average blood pressure index relating to the mean blood pressure of the living body according to the above. Calculated from the photoelectric volume pulse wave indicating the light receiving level of the light received from the living body, the average value _Jave of the absorbance index relating to the absorbance of the living body is used.
Calculated from the intensity spectrum of the light received from the living body, the average value _Fave of the blood flow index regarding the blood flow of the living body and
From the above, a biological analysis method for calculating an ^average blood pressure index relating to the mean blood pressure of the living body according to _{Fave / Jav4 .} Using the detection signal indicating the light receiving level of the laser beam irradiated to the living body and reflected inside the living body, the blood vessel diameter index relating to the blood vessel diameter of the living body and the blood vessel volume index relating to the blood flow volume of the living body are calculated. ,
A biological analysis method for calculating an average blood pressure index relating to the mean blood pressure of the living body according to the blood vessel diameter index and the blood flow index.
The blood vessel diameter index is a blood volume index relating to the blood volume of the living body.
In the calculation of the blood vessel diameter index,
A biological analysis method for calculating the blood volume index by integrating the intensities of each frequency in an intensity spectrum relating to the frequency of the detection signal for a predetermined frequency range. _Mave , the average value of the blood volume index related to the blood volume of the living body,
Calculated from the intensity spectrum of the light received from the living body, the average value _Fave of the blood flow index regarding the blood flow of the living body and
From, a program that makes a computer function as an average blood pressure calculation unit that calculates an average blood pressure index according to the average blood pressure of the living body according to F _ave / _Mave ^4/3 . Calculated from the intensity spectrum of light received from the living body, the blood volume index related to the blood volume of the living body and
Calculated from the intensity spectrum, the blood flow index related to the blood flow of the living body and the blood flow index
A program that makes a computer function as an average blood pressure calculation unit that calculates an average blood pressure index related to the average blood pressure of the living body. Calculated from the photoelectric volume pulse wave indicating the light receiving level of the light received from the living body, the average value _Jave of the absorbance index relating to the absorbance of the living body is used.
Calculated from the intensity spectrum of the light received from the living body, the average value _Fave of the blood flow index regarding the blood flow of the living body and
From, a program that makes a computer function as an average blood pressure calculation unit that calculates an average blood pressure index related to the ^average blood pressure of the living body according to _{Fave / Jav4 .} Using the detection signal indicating the received level of the laser beam irradiated to the living body and reflected inside the living body, the blood vessel diameter index relating to the blood vessel diameter of the living body and the blood vessel volume index relating to the blood flow volume of the living body are calculated. Index calculation department and
An average blood pressure calculation unit that calculates an average blood pressure index related to the average blood pressure of the living body according to the blood vessel diameter index and the blood flow index.
It is a program that makes a computer function as
The blood vessel diameter index is a blood volume index relating to the blood volume of the living body.
The index calculation unit
A program for calculating the blood volume index by integrating the intensities of each frequency in the intensity spectrum relating to the frequency of the detection signal for a predetermined frequency range.

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