KR102259285B1 - Apparatus and method for measuring blood pressure - Google Patents

Abstract

A blood pressure measuring method performed by the disclosed blood pressure measuring device includes measuring a biosignal at each period of systolic and diastolic of the heart; The method includes extracting a cardiac vibration signal parameter defined by a relationship between peaks, and estimating a systolic blood pressure (SBP) and a diastolic blood pressure (DBP) of the heart based on the extracted cardiac vibration signal parameter.

Description

Blood pressure measuring device and method {APPARATUS AND METHOD FOR MEASURING BLOOD PRESSURE}

The present invention relates to an apparatus and method for measuring blood pressure, and more particularly, to an apparatus and method for measuring systolic blood pressure and diastolic blood pressure of a heart.

Among cardiovascular diseases, early diagnosis and prevention of hypertension are important. Therefore, in order to diagnose and treat various cardiovascular diseases including hypertension at an early stage, it is necessary for patients or provisional patients to continuously monitor their own blood pressure.

As a non-invasive blood pressure measurement method for monitoring blood pressure, measuring a sphygmogram or oscillatory through a cuff on the upper arm is currently the most widely used method, but it is not suitable for frequent blood pressure measurement due to low user compliance. Inappropriate.

As a non-invasive blood pressure measurement method that does not use a cuff, there is a method using the relationship between pulse wave velocity (PWV) and blood pressure.

The method for estimating blood pressure based on the pulse wave transmission speed according to the prior art uses a parameter of the pulse wave transmission speed, for example, a pulse transit time (PTT) or a pulse wave transmission speed as an input factor to obtain a diastolic blood pressure (DBP). and systolic blood pressure (SBP) were all calculated.

However, the simple inverse relationship between the pulse wave propagation speed and the pulse wave propagation time can be regarded as one parameter, and the blood pressure estimation method using a single input factor does not provide satisfactory blood pressure estimation capability. The cause can be analyzed in various ways, but one of them is that the systolic blood pressure estimation performance is relatively lower than the diastolic blood pressure estimation performance.

Korean Patent Application Laid-Open No. 10-2017-0008516 (published on January 4, 2017): Apparatus and method for calculating systolic blood pressure using pulse wave transmission time

According to an embodiment, there is provided a blood pressure measuring apparatus and method that improve the accuracy of blood pressure measurement by significantly improving the ability to estimate instantaneous changes in blood pressure and systolic blood pressure by estimating the systolic and diastolic blood pressure of the heart using the heart vibration signal parameters. to provide.

However, the technical problems to be achieved by the embodiments of the present invention are not limited to the above-mentioned problems, and various technical problems can be derived from the contents to be described below within the scope obvious to those skilled in the art.

According to one aspect, a method for measuring blood pressure performed by a blood pressure measuring device includes measuring a biosignal at each time of a systolic and diastolic period of a heart, and a heart whose height is changed in response to vibration of the heart from the measured biosignal. extracting a cardiac vibration signal parameter defined by a relationship between a plurality of peaks of the vibration signal, and estimating a systolic blood pressure (SBP) and a diastolic blood pressure (DBP) of the heart based on the extracted cardiac vibration signal parameter; include

Here, the biosignal may include at least one of an electrocardiogram (SCG), an electrocardiogram (ECG), a ballistic trajectory (BCG), a cardiac phonocardiogram (PCG), and a photoplethysmography (PPG).

The extracting of the cardiac vibration signal parameter may include: a maximum amplitude of an Nth signal waveform group of the cardiac vibration signal, a maximum amplitude of an N+1th signal waveform group of the cardiac vibration signal, a maximum amplitude of the Nth signal waveform group, and the N and extracting at least one of the ratios of the maximum amplitudes of the +1-th signal waveform group as the cardiac vibration signal parameter.

The extracting of the cardiac vibration signal parameter includes extracting, as the cardiac vibration signal parameter, a time taken for the maximum amplitude of the N-th signal waveform group of the cardiac vibration signal to occur from a ventricular polarization point indicated in the cardiac vibration signal. can do.

The method further comprises the step of extracting a pulse wave propagation rate-related parameter defined as a characteristic value reflecting the pulse wave propagation speed from the biosignal, and the estimating of the systolic blood pressure and the diastolic blood pressure comprises: the heart vibration signal parameter and the pulse wave propagation speed The systolic blood pressure and the diastolic blood pressure may be estimated based on the related parameters.

The extracting of the pulse wave propagation rate related parameter may include extracting a pulse wave transit time (PTT) or a pulse wave arrival time (PAT) as the pulse wave propagation rate related parameter.

(단, a_i, b_i, c_i는 각각 계측된 파라미터값을 수축기 혈압(SBP) 및 이완기 혈압(DBP)으로 변환하는 교정 계수)을 이용하여 상기 수축기 혈압 및 상기 이완기 혈압을 추정할 수 있다.The step of extracting the cardiac vibration signal parameter includes extracting a maximum amplitude (P1) of an Nth signal waveform group of the cardiac vibration signal as the cardiac vibration signal parameter, and estimating the systolic blood pressure and the diastolic blood pressure. In the step, the formula

(However, _{the systolic blood pressure and the diastolic blood pressure may be estimated using a i} , b _i , and c _i correction coefficients for converting the measured parameter values into systolic blood pressure (SBP) and diastolic blood pressure (DBP), respectively) .

A blood pressure measuring apparatus according to another aspect includes a sensor unit for measuring a biosignal at each period of a systolic and a diastolic period of a heart, and a plurality of heart vibration signals whose height is changed in response to the vibration of the heart from the measured biosignal. and a controller for extracting a heart vibration signal parameter defined by a relationship between peaks, and estimating a systolic blood pressure (SBP) and a diastolic blood pressure (DBP) of the heart based on the extracted heart vibration signal parameter.

According to an embodiment, by estimating the systolic blood pressure and the diastolic blood pressure of the heart using the heart vibration signal parameter, the instantaneous change in blood pressure and the ability to estimate the systolic blood pressure are significantly improved, thereby improving the accuracy of blood pressure measurement.

In addition, since the heart vibration signal parameter can estimate the change in pulse pressure by estimating the blood pressure based on the heart vibration signal parameter and the pulse wave propagation velocity related parameter, the accuracy of blood pressure measurement is further improved.

1 is a block diagram of an apparatus for measuring blood pressure according to an embodiment of the present invention.
2 is a conceptual diagram for explaining a biosignal measurement process by the blood pressure measuring apparatus according to an embodiment of the present invention.
3 is an example of a biosignal waveform for explaining a process of extracting a cardiac vibration signal parameter by the blood pressure measuring apparatus according to an embodiment of the present invention.
4 is an example of a biosignal waveform for explaining a process of extracting a pulse wave propagation velocity related parameter by the blood pressure measuring apparatus according to an embodiment of the present invention.
5 is a flowchart illustrating a blood pressure measurement method performed by the blood pressure measurement apparatus according to an embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be implemented in various forms, only these embodiments make the disclosure of the present invention complete, and 　 Those of ordinary skill in the art to which the present invention pertains It is provided to fully inform the person of the scope of the invention, and the scope of the present invention is only defined by the claims.

In describing the embodiments of the present invention, detailed descriptions of well-known functions or configurations will be omitted except when it is actually necessary to describe the embodiments of the present invention. In addition, terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout the present specification.

The functional blocks shown in the drawings and described below are only examples of possible implementations. In other implementations, other functional blocks may be used without departing from the spirit and scope of the detailed description. Also, although one or more functional blocks of the present invention are represented as separate blocks, one or more of the functional blocks of the present invention may be combinations of various hardware and software configurations that perform the same function.

In addition, the expression including certain components is an open expression and merely refers to the existence of the corresponding components, and should not be construed as excluding additional components.

Furthermore, when it is said that a component is connected or connected to another component, it may be directly connected or connected to the other component, but it should be understood that another component may exist in the middle.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

1 is a block diagram of an apparatus for measuring blood pressure according to an embodiment of the present invention.

As shown in FIG. 1 , the blood pressure measuring apparatus 100 according to an embodiment may include a sensor unit 110 , a control unit 120 , a substrate 130 , a communication unit 140 , and an output unit 150 .

The sensor unit 110 measures the bio-signals at each of the systolic and diastolic phases of the heart and provides them to the control unit 120 . For example, the sensor unit 110 may include a Seismocardiogram (SCG), an electrocardiogram (ECG), a ballistocardiogram (BCG), a phonocardiograph (PCG), or a photoplethysmogram (PPG). At least one may be measured as a biosignal and provided to the controller 120 .

The sensor unit 110 may include an acceleration sensor 111 and an optical sensor 112 to measure biosignals.

The acceleration sensor 111 measures a heart vibration signal generated according to contraction and relaxation of the heart at a contact portion with an object, such as a body, and provides it to the controller 120 . Here, the acceleration sensor 111 is an example for measuring the heart vibration signal, and is not limited thereto, and may be replaced with other means capable of measuring the heart vibration signal. A heart vibration signal having a frequency range less than or equal to a sound wave may be measured by using the acceleration sensor 111 , or a heart vibration signal having a frequency range greater than or equal to a sound wave may be measured by using a microphone sensor. Alternatively, a change in the center of gravity of the body caused by the movement of blood when the heart is ejected may be detected through the acceleration sensor 111 attached to the body.

The optical sensor 112 measures the photoplethysmogram (PPG) generated according to the amount of blood flowing on the surface of the contact part with the object, such as the body, and provides it to the controller 120 . Here, the photoplethysmographic wave is a signal that reflects the amount of blood flow flowing in the blood vessel of a living tissue by using an optical characteristic. The optical sensor 112 measures the PPG wave based on the reflectance, absorption rate, transmittance, etc. of the living tissue to light, and the measured PPT wave is a change in blood flow due to relaxation and contraction of the heart and blood vessels resulting therefrom. represents the volume change of

The blood pressure measuring apparatus 100 may include a substrate 130 for fixing the sensor unit 110 to a contact portion of an object to be measured, such as a body, and the sensor unit 110 may be installed on the substrate 130 . have. For example, the substrate 130 may be a circuit board such as a printed circuit board (PCB). For example, the substrate 130 may be a flexible substrate that can be bent according to the shape of a contact portion in contact with the object to be measured. Here, the contact portion may be a skin surface near the heart in the body. For example, the control unit 120 , the communication unit 140 , or the output unit 150 , which are other components of the blood pressure measuring apparatus 100 , may be installed on the substrate 130 together with the sensor unit 110 .

The controller 120 extracts, from the biosignal measured by the sensor unit 110 , a cardiac vibration signal parameter defined by a relationship between a plurality of peaks of a heart vibration signal whose height is changed in response to the vibration of the heart. For example, the controller 120 may control the maximum amplitude P1, which is a peak to peak value in the N-th signal waveform group of the heart vibration signal (eg, heart rate) measured by the sensor unit 110 , (P1, FIG. 3 ). reference) or the maximum amplitude (P2, see FIG. 3 ), which is a peak-to-peak value in the N+1th signal waveform group, may be extracted as a cardiac oscillation signal parameter. Alternatively, the controller 120 may extract a ratio of the maximum amplitude P1 of the N-th signal waveform group to the maximum amplitude P2 of the N+1-th signal waveform group as a heart vibration signal parameter. Alternatively, the control unit 120 may control the N of the heart vibration signal measured by the sensor unit 110 from the ventricular polarization time point (eg, R peak or Q peak of the electrocardiogram) indicated in the cardiac vibration signal measured by the sensor unit 110 . The time (T1, see FIG. 3 ) taken for the generation of the maximum amplitude P1 of the th signal waveform group may be extracted as a heart vibration signal parameter.

In addition, the controller 120 extracts a pulse wave propagation speed related parameter defined as a characteristic value reflecting the pulse wave propagation speed from the biosignal measured by the sensor unit 110 . For example, the control unit 120 may extract a pulse wave transmission time (PTT) or a pulse wave arrival time (PAT) as a pulse wave transmission rate related parameter by using the time difference between the biosignals measured by the sensor unit 110 . .

As such, the control unit 120 for extracting the cardiac vibration signal parameter and the pulse wave propagation speed related parameter may include a device capable of computing operations, such as a microprocessor.

In addition, the controller 120 estimates the systolic blood pressure (SBP) and the diastolic blood pressure (DBP) of the heart based on the extracted cardiac vibration signal parameters. For example, the controller 120 may estimate the systolic blood pressure (SBP) and the diastolic blood pressure (DBP) of the heart based on the heart vibration signal parameter and the pulse wave propagation speed related parameter. In addition, the control unit 120 may include a communication unit 140 for transmitting the estimation results of the systolic blood pressure and the diastolic blood pressure through a communication network, and an output unit 150 for outputting the result so that the user can recognize it. For example, the communication unit 140 may transmit the estimation results of the systolic blood pressure and the diastolic blood pressure to other information processing terminals according to the control signal of the controller 120 , and the output unit 150 may estimate the systolic blood pressure and the diastolic blood pressure. The result may be output to the screen, output in voice, or output in the form of a printed matter according to the control signal of the controller 120 .

In the above description, the sensor unit 110 of the blood pressure measuring apparatus 100 according to an exemplary embodiment is a cardiogram (SCG), an electrocardiogram (ECG), a heart trajectory (BCG), a heart sound (PCG), a photoplethysmography (PPG), etc. A case has been described in which a biosignal of , and the controller 120 extracts a cardiac vibration signal parameter and a parameter related to a pulse wave propagation speed from the biosignal measured by the sensor unit 110 . According to another embodiment, the sensor unit 110 provides a bio-signal such as a heart vibration signal and an optical signal reflecting the amount of blood flowing in a blood vessel to the control unit 120 , and the control unit 120 measures it by the sensor unit 110 . After acquiring biosignals such as cardiac electrocardiogram (SCG), electrocardiogram (ECG), trajectory (BCG), cardiac phonocardiogram (PCG), and photoplethysmography (PPG) from the obtained biosignals, the parameters of cardiac vibration signal and pulse wave transmission rate are related You can also extract parameters.

2 is a conceptual diagram for explaining a biosignal measurement process by the blood pressure measuring apparatus according to an embodiment of the present invention, and FIG. 3 is an extraction of cardiac vibration signal parameters by the blood pressure measuring apparatus according to an embodiment of the present invention. An example of a biosignal waveform for explaining the process, FIG. 4 is an example of a biosignal waveform for explaining a process of extracting a pulse wave propagation velocity related parameter by the blood pressure measuring apparatus according to an embodiment of the present invention, FIG. 5 is It is a flowchart for explaining a blood pressure measuring method performed by the blood pressure measuring apparatus according to an embodiment of the present invention.

A blood pressure measuring method performed by the blood pressure measuring apparatus 100 according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 5 .

First, the substrate 130 on which the sensor unit 110 and the like are installed is fixed to a contact portion of a target object such as a body. For example, the contact portion may be a skin surface near the heart in the body, and the sensor unit 110 may be fixed to the skin surface near the heart by the substrate 130 .

For example, the sensor unit 110 may include an acceleration sensor 111 and an optical sensor 112 , and the optical sensor 112 generates a photoplethysmogram wave ( PPG), the accuracy of measurement may be improved as the substrate 130 is flexibly bent along the shape of the contact portion and is in close contact with the body. For example, a substrate having a flexible characteristic that can be bent by a small external force may be fixed in a form in close contact with the contact portion.

In this way, in a state in which the substrate 130 on which the sensor unit 110 is installed is fixed to the contact part of the body, the sensor unit 110 measures the biosignal at each systolic and diastolic period of the heart and sends it to the control unit 120 . to provide.

Here, the acceleration sensor 111 of the sensor unit 110 measures bio-signals such as cardiac eccentricity (SCG), electrocardiogram (ECG), trajectory (BCG), and phonocardiogram (PCG) to provide to the controller 120. It can be (S510, see FIG. 5).

2 is a conceptual diagram for explaining a biosignal measurement process by the blood pressure measuring apparatus 100 according to an embodiment of the present invention. It shows the state of measuring the waveform.

The optical sensor 112 of the sensor unit 110 may measure the PPG as a biosignal and provide it to the controller 120 . The photoplethysmography wave measured by the optical sensor 112 is a signal that reflects the amount of blood flow flowing in the blood vessel of a living tissue using optical characteristics. The optical sensor 112 measures the PPG, which is changed by the reflectance, absorption rate, transmittance, etc. of the light of the living tissue, and the measured PPG is the change in blood flow due to the relaxation and contraction of the heart and It represents the change in the volume of blood vessels accordingly.

For example, depending on the position where the substrate 130 contacts the chest region of the body, there may be a region where the blood flow distribution on the chest surface is concentrated among the regions where the substrate 130 contacts the chest region, and an region where the blood flow distribution is not dense. This can be. For this reason, the measurement degree of the photoplethysmography (PPG) may have a deviation depending on the area where the optical sensor 112 abuts against the chest surface. In order to compensate for this deviation, a plurality of optical sensors 112 may be installed on one surface where the substrate 130 comes into contact with a body contact part, and a photoplethysmographic wave (PPG) measured by a specific optical sensor among the plurality of optical sensors. ) is out of the preset range, the average value of the PPG measured by the remaining optical sensors may be provided to the controller 130 excluding the measurement value of the corresponding optical sensor.

In addition, the controller 120 extracts a cardiac vibration signal parameter and a parameter related to a pulse wave transmission speed from the biosignal measured by the sensor unit 110 .

3 is an example of a biosignal waveform for explaining a process of extracting a cardiac vibration signal parameter by the controller 120 of the blood pressure measuring apparatus 100 according to an embodiment of the present invention, and is an electrocardiogram (ECG) and an electrocardiogram (ECG) SCG) is to exemplarily describe the process of extracting the cardiac vibration signal parameters.

For example, the control unit 120 may control the maximum amplitude P1, which is a peak-to-peak value in the N-th signal waveform group of the depth of field (SCG) measured by the sensor unit 110, or the peak-to-peak value in the N+1th signal waveform group. The maximum amplitude (P2), which is a peak value, can be extracted as a cardiac oscillation signal parameter. Alternatively, the controller 120 may extract a ratio of the maximum amplitude P1 of the N-th signal waveform group to the maximum amplitude P2 of the N+1-th signal waveform group as a heart vibration signal parameter. Here, the N-th signal waveform group of the cardiac cycle SCG may be a systolic period of the heart, that is, a period in which the valve of the ventricle is opened. In addition, the N+1-th signal waveform group of the cardiac cycle SCG may be a diastolic period of the heart, that is, a period in which the valve of the ventricle is closed. Alternatively, the control unit 120 may control the ventricular polarization time point shown in the heart vibration signal measured by the sensor unit 110 , for example, the N of the heart rate (SCG) measured by the sensor unit 110 from the R peak of the electrocardiogram (ECG). The time T1 required for the generation of the maximum amplitude P1 of the th signal waveform group may be extracted as a cardiac vibration signal parameter (S520, see FIG. 5). Here, instead of using the R peak of the electrocardiogram (ECG) as the ventricular polarization time point, the Q bit generated immediately before the R peak may be used as the ventricular polarization time point.

Also, the controller 120 may extract a pulse wave propagation speed related parameter defined as a characteristic value in which the pulse wave propagation speed is reflected from the biosignal measured by the sensor unit 110 . For example, the control unit 120 extracts a time difference between biosignals, for example, a pulse transit time (PTT) extracted using a photoplethysmographic wave (PPG) itself as a pulse wave transit rate related parameter or a pulse wave arrival time ( Pulse arrival time, PAT) may be extracted as a parameter related to the pulse wave propagation speed (S530, see FIG. 5 ).

4 is an example of a biosignal waveform for explaining a process of extracting a pulse wave propagation velocity-related parameter by the controller 120 of the blood pressure measuring apparatus 100 according to an embodiment of the present invention.

Pulse Wave Velocity (PWV) is the path the pulse wave passes, for example, the speed at which the pulse wave passes through two specific points in the artery, the distance between the two specific points (L), the time passing through the two points (T), and the pulse wave propagation The speed PWV is established by Equation 1 below.

In Equation 1, the time T passing two points is referred to as a pulse wave transmission time (PTT), and the controller 120 uses the PPG measured by the sensor unit 110 to transmit the pulse wave transmission time. (PTT) can be extracted. In this case, the pulse wave delivered to the distal region uses a photoplethysmogram (PPG) or an arterial pressure, and the feature points of the lowest point, the highest point, and the maximum point of the first derivative of the signals may be used. For example, the controller 120 extracts a time difference from the R peak or Q peak of the electrocardiogram (ECG) with the initial point of occurrence of the photoplethysmography (PPG) as the pulse wave arrival time (PAT), and the pulse wave arrival time (PAT). ), the pulse wave transmission time (PTT) can be extracted by excluding the pre-ejection period (PEP). PEP is the time it takes from when the heart receives an electrical activation signal to physically pumping blood into the aorta. This electrocardiogram (PEP) is extracted by measuring the time from the characteristic point (R peak or Q peak) of the electrocardiogram (ECG) to the characteristic point (B-Point) of the ICG (impedance cardiogram) that measures the flow of blood ejected from the heart can do.

Alternatively, in order to measure the pulse wave transmission time (PTT), the controller 120 measures the ICG near the heart, the photoplethysmography (PPG) at the distal end, and the arterial wave to measure the time therebetween, or a representative heart vibration signal. Pulse wave transit time (PTT) can also be extracted by simultaneously measuring phosphorus cardiac intensity (SCG) and photoplethysmography (PPG) near the chest.

Next, the controller 120 estimates the systolic blood pressure and the diastolic blood pressure of the heart based on the cardiac vibration signal parameter extracted in step S520 and the pulse wave propagation velocity related parameter extracted in step S530 (S540, see FIG. 5 ).

For example, when estimating the systolic blood pressure (SBP) and the diastolic blood pressure (DBP) of the heart, the controller 120 may estimate it using Equation 1 below.

(However, a _i , b _i , and c _i are correction coefficients that convert the measured parameter values into systolic blood pressure (SBP) and diastolic blood pressure (DBP), respectively)

The pulse wave transmission time (PTT) used when the controller 120 estimates the systolic blood pressure (SBP) and the diastolic blood pressure (DBP) of the heart may be a pulse wave arrival time (PAT) including the electrocardiogram (PEP).

When the controller 120 uses a plurality of parameters together for estimating the blood pressure of the heart, various regression equations such as non/linear regression may be applied, and the coefficients of the regression equation may be experimentally obtained through a calibration procedure. can Equation 2 is an example of the multiple linear regression equation derived by the controller 120 for estimating the blood pressure of the heart.

Thereafter, the controller 120 may control the communication unit 140 to transmit the results of the estimation of the systolic blood pressure and the diastolic blood pressure of the heart in step S540 through a communication network. In addition, the controller 120 controls the output unit 150 to output the estimated results of the systolic and diastolic blood pressures of the heart in step S540, so that the user can recognize the estimated results of the systolic and diastolic blood pressures of the heart. can do.

As described so far, according to one embodiment, by estimating the systolic blood pressure and the diastolic blood pressure of the heart using the heart vibration signal parameter, the instantaneous change in blood pressure and the ability to estimate the systolic blood pressure are significantly improved, thereby improving the accuracy of blood pressure measurement. .

In addition, since the heart vibration signal parameter can estimate the change in pulse pressure by estimating the blood pressure based on the heart vibration signal parameter and the pulse wave propagation velocity related parameter, the accuracy of blood pressure measurement is further improved.

The above-described embodiments of the present invention may be implemented through various means. For example, embodiments of the present invention may be implemented by hardware, firmware, software, or a combination thereof.

In the case of implementation by hardware, the method according to embodiments of the present invention may include one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs). , FPGAs (Field Programmable Gate Arrays), processors, controllers, microcontrollers, microprocessors, and the like.

In the case of implementation by firmware or software, the method according to the embodiments of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described above. A computer program in which a software code or the like is recorded may be stored in a computer-readable recording medium or a memory unit and driven by a processor. The memory unit may be located inside or outside the processor, and may send and receive data to and from the processor by various known means.

Also, combinations of each block in the block diagram attached to the present invention and each step in the flowchart may be performed by computer program instructions. These computer program instructions may be embodied in an encoding processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions executed by the encoding processor of the computer or other programmable data processing equipment may correspond to each block or block diagram of the block diagram. Each step of the flowchart creates a means for performing the functions described. These computer program instructions may also be stored in a computer-usable or computer-readable memory that may direct a computer or other programmable data processing equipment to implement a function in a particular manner, and thus the computer-usable or computer-readable memory. The instructions stored in the block diagram may also produce an item of manufacture containing instruction means for performing a function described in each block of the block diagram or each step of the flowchart. Since computer program instructions can also be mounted on a computer or other programmable data processing equipment, a series of operating steps are performed on a computer or other programmable data processing equipment to create a computer-executable process to create a computer or other programmable data processing equipment. It is also possible for the instructions to perform the processing equipment to provide steps for executing the functions described in each block of the block diagram and each step of the flowchart.

In addition, each block or each step may represent a module, segment, or part of code including one or more executable instructions for executing a specified logical function. It should also be noted that in some alternative embodiments it is also possible for the functions recited in blocks or steps to occur out of order. For example, two blocks or steps shown in succession may in fact be performed substantially simultaneously, or the blocks or steps may sometimes be performed in the reverse order depending on the corresponding function.

As such, those skilled in the art to which the present invention pertains will understand that the present invention may be embodied in other specific forms without changing the technical spirit or essential characteristics thereof. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. .

100: blood pressure measuring device 110: sensor unit
111: acceleration sensor 112: light sensor
120: control unit 130: substrate
140: communication unit 150: output unit

Claims (8)

A blood pressure measurement method performed by a blood pressure measurement device, comprising:
Measuring vital signs at each time of systolic and diastolic of the heart;
extracting, from the measured biosignal, a cardiac vibration signal parameter defined by a relationship between a plurality of peaks of a cardiac vibration signal whose height is changed in response to the vibration of the heart;
extracting a pulse wave propagation speed related parameter defined as a characteristic value reflecting the pulse wave propagation speed from the biosignal;
and estimating a systolic blood pressure (SBP) and a diastolic blood pressure (DBP) of the heart based on the extracted cardiac vibration signal parameter and the pulse wave transmission velocity related parameter. The method of claim 1,
The biosignal includes at least one of an electrocardiogram (SCG), an electrocardiogram (ECG), a ballistic trajectory (BCG), a phonocardiogram (PCG), and a photoplethysmogram (PPG).
How to measure blood pressure. The method of claim 1,
The extracting of the cardiac vibration signal parameter may include: a maximum amplitude of an Nth signal waveform group of the heart vibration signal, a maximum amplitude of an N+1th signal waveform group of the cardiac vibration signal, a maximum amplitude of the Nth signal waveform group, and the N and extracting at least one of the ratios of the maximum amplitudes of the +1th signal waveform group as the cardiac oscillation signal parameter.
How to measure blood pressure. The method of claim 1,
The step of extracting the cardiac vibration signal parameter includes extracting, as the cardiac vibration signal parameter, a time taken for the maximum amplitude of the Nth signal waveform group of the cardiac vibration signal to occur from a ventricular polarization point indicated in the cardiac vibration signal. doing
How to measure blood pressure. delete The method of claim 1,
The step of extracting the pulse wave propagation rate related parameter includes extracting a pulse wave transit time (PTT) or a pulse wave arrival time (PAT) as the pulse wave propagation rate related parameter.
How to measure blood pressure. The method of claim 6,
The extracting of the cardiac vibration signal parameter includes extracting a maximum amplitude P1 of an Nth signal waveform group of the cardiac vibration signal as the cardiac vibration signal parameter,
In the step of estimating the systolic blood pressure and the diastolic blood pressure, the following equation

(However, a _i , b _i , and c _i are correction coefficients that convert the measured parameter values into systolic blood pressure (SBP) and diastolic blood pressure (DBP), respectively)
estimating the systolic blood pressure and the diastolic blood pressure using
How to measure blood pressure. A sensor unit that measures a biological signal at each time of the systolic and diastolic phases of the heart;
A cardiac vibration signal parameter defined as a relationship between a plurality of peaks of a heart vibration signal whose height and low is changed in response to the vibration of the heart is extracted from the measured biosignal, and the pulse wave propagation speed is reflected from the biosignal. A control unit for extracting a pulse wave propagation rate-related parameter, and estimating a systolic blood pressure (SBP) and a diastolic blood pressure (DBP) of the heart based on the extracted cardiac vibration signal parameter and the pulse wave propagation rate-related parameter
blood pressure measuring device.

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