KR100638696B1 - Method and apparatus for measuring blood pressure using pulse transit time and physical characteristic parameters - Google Patents

Abstract

The present invention relates to a method and apparatus for measuring blood pressure using pulse wave propagation time and body feature parameters. The present invention includes an input unit for receiving a body feature parameter, blood pressure measurement command of the subject; A PTT measurement unit for storing a pulse wave transmission time (PTT) value by using a storage unit for storing one or more consideration factor values, electrocardiogram (ECG) information and photo-specific pulse wave (PPG) information corresponding to the subject, and the blood pressure measurement command And a determination unit for calculating a blood pressure value corresponding to the subject using the body characteristic parameter of the subject, the calculated pulse wave propagation time value, and a set regression equation, and a display unit for displaying the calculated blood pressure value. do. Thus, according to the present invention, it is not necessary for a subject to first perform individual calibration in order to measure blood pressure, and it is possible to simply and continuously measure blood pressure using a non-invasive method.

Blood pressure, PTT, ECG, PPG

Description

Method and apparatus for measuring blood pressure using pulse wave propagation time and body characteristic parameters {Method and apparatus for measuring blood pressure using pulse transit time and physical characteristic parameters}             

1 is a block diagram showing the configuration of a blood pressure measuring device using a conventional pulse wave transmission time (PTT).

Figure 2 is a block diagram showing the configuration of the blood pressure measuring apparatus according to an embodiment of the present invention.

3 is a graph showing a pulse transit time (PTT) according to an embodiment of the present invention.

Figure 4 is a flow chart showing a blood pressure measuring method according to an embodiment of the present invention.

<Description of the symbols for the main parts of the drawings>

110: PTT measuring unit 110

145 electrode

150: amplification and filter unit

155 ECG measurement unit

160: PPG Sensor

170: PPG measuring unit

175: PTT calculator

200: blood pressure measuring device

210: correction part

215: judgment

220: control unit

225: storage unit

230: input unit

235 display unit

The present invention relates to a method and apparatus for measuring blood pressure using pulse wave propagation time and body characteristic parameters. In particular, the pulse wave transmission enables simple continuous blood pressure measurement using a non-invasive method without requiring individual calibration at the beginning of measurement. The present invention relates to a method and apparatus for measuring blood pressure using time and body feature parameters.

Blood pressure refers to the pressure on the walls of blood vessels as they flow through them. When the blood pressure at rest is much higher than normal people of the same age, high blood pressure, and vice versa, is called low blood pressure. The standard of treatment for pathological hypertension is the lowest blood pressure, and when the minimum blood pressure is 90 mmHg or more, it is generally treated. If the high blood pressure is left, there is a risk of fatal diseases such as cerebral hemorrhage. As such, the blood pressure may be an index for determining whether to treat the high blood pressure or low blood pressure.

Conventional blood pressure measurement methods can be divided into invasive and non-invasive methods.

First, the invasive method has the advantage of continuously measuring accurate blood pressure, but has the disadvantage that the technical problem of inserting a catheter into the blood vessel and the risk of infection and side effects.

Next, as a non-invasive method, an auscultatory mothod for measuring blood pressure using a korotkoff sound is the most typical blood pressure measurement method. In addition, there is an oscillometry method for measuring blood pressure using vibration generated by the flow of blood. However, the non-invasive blood pressure measurement method requires the expansion and contraction of the cuff and there is a problem that it is impossible to measure the continuous blood pressure. In addition, the non-invasive method of the tonometer (tonometer) has the advantage of providing a continuous blood pressure waveform, but has the disadvantage that the response to the movement of the wrist and the position of the sensor is very sensitive.

In order to make up for the shortcomings of the non-invasive blood pressure measurement methods described above, the PTT (pulse wave) using the delay time between the R wave of the recent ECG (electrocardiogram) and the peak of the PPG (photoplethysmography) Non-invasive and continuous measurement of blood pressure using pulse transit time has been studied.

PTT is a widely used method for circulatory research as part of the pulse wave velocity (PWV) method for measuring blood vessel tension or purity in the circulatory system. PTT is the time that the pulsating pressure wave is transmitted from the aortic valve to the peripheral region and is inversely related to the pulse wave propagation velocity. PTT is proportional to compliance, the opposite concept of vascular elasticity, and depends on the distance of the vessel, the aperture, and the structural characteristics of the vessel wall. As the arterial purity decreases during vascular disease, diabetes and aging, PTT decreases and pulse wave transmission speed increases. PTT or pulse wave transmission rate measurement may be helpful as a means of discriminating vascular or other diseases in the human body. As the blood pressure rises in the body, the purity of the arteries decreases, and thus PTT decreases.

1 is a block diagram showing the configuration of a blood pressure measuring apparatus using a conventional pulse wave transmission time (PTT).

Referring to FIG. 1, the blood pressure measuring apparatus 100 according to the related art includes a PTT measuring unit 110, a calibrating unit 115, a control unit 120, a storage unit 125, an input unit 130, and a display unit 135. It includes.

The PTT measuring unit 110 is a means for calculating the pulse wave propagation time (PTT) of a subject (ie, a subject for blood pressure measurement), and includes an electrode 145, an amplifying and filtering unit 150, and an ECG measuring unit. 155, a PPG sensor 160, an amplifying and filtering unit 165, a PPG measuring unit 170, and a PTT calculating unit 175.

The electrode 145 is an electrode for measuring an electrocardiogram of a subject, and may be configured in plural so that any fingers of both hands of the subject may be contacted to form a closed circuit including the body of the subject. The analog ECG (electrocardiogram) signal of the examinee input through the electrode 145 is amplified by a signal having a predetermined size by the amplification and filter unit 150, and a noise signal is removed. The analog ECG signal from which the noise signal is removed is converted into a digital signal and input to the ECG measuring unit 155, and the ECG measuring unit 155 uses the input digital ECG signal to examine the ECG information of the examinee (eg, an ECG graph). , Location information corresponding to each point (eg, P, Q, R, S, T-see FIG. 3). The generated ECG information is input to the PTT calculator 175 to calculate a PTT value.

In addition, the PPG sensor 160 may be a reflection type PPG sensor as a sensor for measuring the PPG (photoelectric red pulse wave) of the subject. The analog PPG signal of the examinee input by the PPG sensor 160 is amplified by a signal having a predetermined size in the amplification and filter unit 165, and a noise signal is removed. The analog PPG signal from which the noise signal is removed is converted into a digital signal and input to the PPG measuring unit 170. The PPG measuring unit 170 uses the input digital PPG signal to examine the PPG information (for example, the PPG graph of the subject). , Location information corresponding to each point (e.g., the maximum value-see FIG. 3). The generated PPG information is input to the PTT calculator 175 to calculate a PTT value.

The PTT calculating unit 175 uses the ECG information input from the ECG measuring unit 155 and the PPG information input to the PPG measuring unit 170. Delay time between peaks) is calculated and transmitted to the calibration unit 115.

The calibration unit 115 corrects the relationship between the blood pressure and the PTT by using a regression generation program stored in the storage unit 125 in advance in accordance with a regression calibration command input through the input unit 130 before the blood pressure measurement of the subject. . Blood pressure may be divided into systolic blood pressure and diastolic blood pressure, but only the systolic blood pressure will be described herein. Correction unit 115 is a regression equation corrected using the relationship between the blood pressure and PTT is illustrated in Equation 1 below.

In Equation 1, SBP means systolic blood pressure, and PTT means pulse wave propagation time. According to Equation 1, the blood pressure measuring apparatus 100 according to the prior art may calculate the blood pressure corresponding to the subject if only the PTT value is calculated by the PTT measuring unit 110.

The controller 120 controls the functions of the components included in the blood pressure measuring apparatus 100 according to the prior art.

The storage unit 125 stores an operation program, a regression generation program, and the like of the blood pressure measuring device 100.

The input unit 130 includes one or more key buttons and is a means for inputting a blood pressure measurement command, a regression correction command, and the like.

The display unit 135 is a means for displaying measured blood pressure information. For example, the display unit 135 may be implemented as a liquid crystal display.

As described above, the conventional blood pressure measuring apparatus 100 uses only the PTT value of the subject when blood pressure is measured. Since the PTT value varies significantly from person to person, only blood pressure information of the subject can be accurately measured when the blood pressure measurement after the regression equation is specified for the subject, and another person uses the blood pressure measuring apparatus 100. In order to measure blood pressure, a regression equation corresponding to the relationship between the PTT value and the blood pressure must be generated first. To this end, the subject measures his or her blood pressure using another blood pressure measuring device, and at the same time calculates a PTT value using the blood pressure measuring device 100 according to the prior art, and then inputs the measured blood pressure value to the input unit 130. By inputting it through, a regression is generated.

As such, the blood pressure measuring apparatus 100 according to the related art is capable of measuring blood pressure only by individually calibrating PTT and blood pressure for each individual at the beginning of measurement, and measuring blood pressure only for each individual who performed individual calibration. It was possible that it was possible.

In addition, since the blood pressure measuring apparatus 100 according to the prior art measures blood pressure using only the PTT, there is a problem that several people cannot continuously measure blood pressure using the same blood pressure measuring apparatus 100.

Therefore, an object of the present invention for solving the above problems is that the subject does not need to perform individual correction first to measure blood pressure, and the pulse wave transmission time and the body that can simply and continuously measure blood pressure using a non-invasive method. It is to provide a method and apparatus for measuring blood pressure using feature parameters.

Another object of the present invention is to easily implement a blood pressure measuring device as a portable device, blood pressure measurement method using the pulse wave delivery time and body characteristics parameters to enable continuous blood pressure measurement using a general formula that can be used simultaneously by a plurality of subjects And to provide an apparatus.

In order to achieve the above objects, according to an aspect of the present invention, a blood pressure measurement device using the pulse wave transmission time and body feature parameters, comprising: an input unit for receiving a body feature parameter, blood pressure measurement command of the subject; A storage unit for storing one or more consideration factor values, wherein the consideration factor values include body feature parameters, pre-measured blood pressure value information, and pulse transit time (PTT) values corresponding to the blood pressure value information. box-; A PTT measurement unit configured to calculate a pulse wave propagation time (PTT) value using electrocardiogram (ECG) information and photoplethysmography (PPG) information corresponding to the subject; A determination unit for calculating a blood pressure value corresponding to the subject by using the body characteristic parameter of the subject, the calculated pulse wave propagation time (PTT) value, and a set regression equation corresponding to the blood pressure measurement command; Equation having blood pressure value and body feature parameter as variables; And a display unit for displaying the calculated blood pressure value.

The apparatus for measuring blood pressure may further include a correction unit configured to update the preset regression equation by using a regression generation program stored in advance in the storage unit to update the consideration factor value and the regression equation stored in the previous storage. The calibration unit may be operated when a regression calibration command is input through the input unit, and the determination unit may calculate the blood pressure value using the regression equation updated by the calibration unit.

)의 계수 a 및 b와 상수 c를 갱신할 수 있다.The correction unit uses a regression updating method according to the regression generation program (ie

We can update the coefficients a and b and constant c of

The regression generation program may be a program corresponding to at least one of a statistical package of social science (SPSS), a statistical analysis system (SAS), a minitab, and a statistigraph.

The body feature parameter includes at least one of height, weight, body fat percentage, body fat mass, pulse rate, blood viscosity, blood vessel elasticity, arm circumference and arm length, and each body feature parameter has an independent coefficient. .

According to another aspect of the present invention, a program of instructions that can be executed by a blood pressure measuring apparatus for performing a blood pressure measuring method is tangibly implemented, and in the recording medium recording a program that can be read by the blood pressure measuring apparatus When the blood pressure measurement command and the body characteristic parameter of the subject are input, generating electrocardiogram (ECG) information and photoplethysmography (PPG) information corresponding to the subject; Calculating a pulse wave propagation time (PTT) value using the generated electrocardiogram (ECG) information and photoelectric exclusive pulse wave (PPG) information; Calculating a blood pressure value corresponding to the subject by using the body characteristic parameter of the subject, the calculated pulse wave propagation time (PTT) value, and a set regression equation corresponding to the blood pressure measurement command, wherein the regression formula is a blood pressure value And equations each having body feature parameters as variables; And a recording medium recording a program for executing the step of displaying the calculated blood pressure value.

The program determining whether a regression correction command is input; And when the regression correction command is input, updating the preset regression equation by using one or more previously considered factor values and a regression generation program stored in advance for the regression update. Here, the consideration factor value may include a body characteristic parameter, pre-measured blood pressure value information, and a pulse transit time (PTT) value corresponding to the blood pressure value information.

)의 계수 a 및 b와 상수 c를 갱신하는 것을 특징으로 한다.The updating of the regression equation may be performed using a regression update method according to the regression generation program.

It is characterized by updating the coefficients a and b) and the constant c.

The regression generation program may be a program corresponding to at least one of a statistical package of social science (SPSS), a statistical analysis system (SAS), a minitab, and a statistigraph.

The body characteristic parameter may include at least one of height, weight, body fat percentage, body fat mass, pulse rate, blood viscosity, blood vessel elasticity, arm circumference and arm length, and each body characteristic parameter has an independent coefficient. It is done.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, the same reference numerals will be used for the same means regardless of the reference numerals in order to facilitate the overall understanding.

Figure 2 is a block diagram showing the configuration of the blood pressure measuring apparatus according to an embodiment of the present invention, Figure 3 is a graph showing a pulse transit time (PTT) in accordance with a preferred embodiment of the present invention .

2, the blood pressure measuring apparatus 200 according to the present invention includes a PTT measuring unit 110, a calibrating unit 210, a determining unit 215, a control unit 220, a storage unit 225, and an input unit 230. ) And the display unit 235. Each component illustrated in FIG. 2 does not necessarily need to be implemented in a hardware form, and some components (eg, the calibrator 210 and the determiner 215) may be created to perform the same function. Obviously, it may be implemented in the form of a software program.

As described above, the PTT measuring unit 110 is a means for calculating a pulse wave propagation time (PTT) of a subject (ie, a subject for blood pressure measurement), and includes an electrode 145, an amplification and filter unit 150, and an ECG ( ECG) measurement unit 155, PPG sensor 160, amplification and filter unit 165, PPG measurement unit 170 and PTT calculator 175 may be included.

The electrode 145 is an electrode for measuring an electrocardiogram of a subject, and may be configured in plural so that any fingers of both hands of the subject may be contacted to form a closed circuit including the body of the subject. The analog ECG (electrocardiogram) signal of the examinee input through the electrode 145 is amplified by a signal having a predetermined size by the amplification and filter unit 150, and a noise signal is removed. The analog ECG signal from which the noise signal is removed is converted into a digital signal and input to the ECG measuring unit 155, and the ECG measuring unit 155 uses the input digital ECG signal to examine the ECG information of the examinee (eg, an ECG graph). , Location information corresponding to each point (eg, P, Q, R, S, T-see FIG. 3). The generated ECG information is input to the PTT calculator 175 to calculate a PTT value.

In addition, the PPG sensor 160 may be a reflection type PPG sensor as a sensor for measuring the PPG (photoelectric red pulse wave) of the subject. The analog PPG signal of the examinee input by the PPG sensor 160 is amplified by a signal having a predetermined size in the amplification and filter unit 165, and a noise signal is removed. The analog PPG signal from which the noise signal is removed is converted into a digital signal and input to the PPG measuring unit 170. The PPG measuring unit 170 uses the input digital PPG signal to examine the PPG information (for example, the PPG graph of the subject). , Location information corresponding to each point (e.g., the maximum value-see FIG. 3). The generated PPG information is input to the PTT calculator 175 to calculate a PTT value.

The PTT calculator 175 calculates a PPT value according to a predetermined criterion by referring to the ECG information input from the ECG measuring unit 155 and the PPG information input to the PPG measuring unit 170. The PTT value uses a delay time between any two predetermined points (e.g., between R wave of ECG (electrocardiogram) and peak value of PPG (photoelectric pulse wave), S wave of ECG and maximum value of PPG, etc.). Can be calculated.

The calibration unit 210 uses the body feature parameters stored in the storage unit 225, the PTT value at the time of blood pressure measurement of the previous subject, and the blood pressure value at that time by the calibration control signal received from the control unit 220. By updating the regression equation for blood pressure measurement to provide the updated regression equation to the determination unit 215. Body characteristics parameters in the present invention is a factor affecting blood pressure, weight, body fat (eg, body fat percentage, body fat amount), pulse rate, blood information (eg, blood viscosity, etc.), blood vessel information (eg For example, elasticity of blood vessels), arm circumference, arm length, and the like. The correction unit 210 may use a regression generation program such as, for example, an SPSS statistical program, to update the regression equation using the body feature parameters stored in the storage unit 225. 225 or in the calibration unit 210. Since the blood pressure measuring apparatus 200 according to the present invention updates the regression equation by using the body feature parameters stored in the storage unit 225, it is not necessary to precede calibration before the blood pressure value measurement for calculating a regression equation specific to the subject. A plurality of users can measure the blood pressure value by using a single blood pressure measuring device 200 at the same time.

The determination unit 215 calculates the blood pressure value of the subject by using the PTT value input from the PTT calculator 175 in real time and the body characteristic parameter of the subject input through the input unit 230. An example of a regression equation for calculating the blood pressure value and a blood pressure value calculation process using the regression equation will be described in detail with reference to the accompanying drawings.

The controller 120 controls the functions of the components included in the blood pressure measuring apparatus 100 according to the prior art. For example, when the blood pressure measurement command is input through the input unit 230, the controller 220 transmits a PTT value calculation control command, a blood pressure value calculation control command, etc. to the PTT measurement unit 110 and the determination unit 215. When a regression calibration command is input through the input unit 230, the regression calibration control command is transmitted to the calibration unit 210. In addition, although the corrector 210, the determiner 215, and the like are illustrated as separate components from the controller 220 in FIG. 2, it is obvious that the components may be integrated with the controller 220.

The storage unit 225 stores an operation program, a regression generation program, a body feature parameter, a measured blood pressure value, a PTT value corresponding to the blood pressure value, and the like, of the blood pressure measuring device 200. The body feature parameters stored in the storage unit 225 may include body feature parameters of a plurality of ordinary persons included as a sample group and body feature parameters input when blood pressure of the subjects is measured.

The input unit 230 includes one or more key buttons, and is a means for receiving a body feature parameter, a blood pressure measurement command, a regression correction command, or the like of a subject.

The display unit 235 is a means for displaying the measured blood pressure information. For example, the display unit 235 may be implemented as a liquid crystal display.

4 is a flowchart illustrating a blood pressure measuring method according to an exemplary embodiment of the present invention. Each step of the flowchart shown in FIG. 4 may be a step performed by each component shown in FIG. 2, but will be collectively described as being executed in the blood pressure measuring apparatus 200 for convenience of description.

Referring to FIG. 4, when a blood pressure measurement command is input through the input unit 230, the blood pressure measuring apparatus 200 determines whether a regression correction command is input through the input unit 230 in step 410.

When the regression correction command is input, the blood pressure measuring apparatus 200 uses a body characteristic parameter stored in the storage unit 225, a blood pressure value measured in the past, and a PTT calculation value for measuring the blood pressure value in step 415. Update the regression equation. In the regression update, the relationship between the body feature parameter, the PTT calculation value and the blood pressure value is used. The regression equation updated by the blood pressure measuring device 200 may be expressed as in Equation 2 below. Equation 2 below assumes a case where the arm circumference, height, weight, arm length, body fat percentage, and body fat amount are used as body characteristic parameters. For example, Equation 2 is generated using a regression generation program such as an SPSS statistical program. Can be. The updated regression equation is stored in the determination unit 215 or the storage unit 225.

Here, SBP means systolic blood pressure, PTT means pulse wave propagation time, and Arm _CIR means arm circumference. Also, Height means height, Weight means body weight, and Arm _LEN means arm length. In addition, Body _FAT means body fat percentage and Body _KG means body fat mass.

In operation 420, the blood pressure measuring apparatus 200 receives a body feature parameter corresponding to the subject by the examinee or a measurer (for example, a nurse or a subject performing blood pressure measurement) through the input unit 230.

In operation 425, the blood pressure measuring apparatus 200 calculates a PTT value by using the PTT calculator 175 with reference to the measured ECG and PPG. The PTT calculator 175 may calculate a delay time between a specific point in the ECG graph and a specific point in the PPG graph as a PPT value. Although FIG. 4 illustrates a process of calculating a PPT value after a regression update and input of a physical feature parameter, in practice, each step may be changed in various ways.

Thereafter, in step 430, the blood pressure measuring apparatus 200 uses the pre-stored regression equation or the regression equation updated through step 415, the body feature parameter input through step 420, and the PTT value calculated through step 425. Calculate the blood pressure value.

In operation 435, the blood pressure measuring apparatus 200 displays the blood pressure information of the examinee through the display unit 235. The blood pressure information displayed through the display unit 235 may include a blood pressure value calculated through step 430 and related information (for example, a body characteristic parameter of the subject).

As described above, the blood pressure measuring apparatus 200 according to the present invention measures a subject's ECG and PPG, calculates a PTT, and includes a body feature parameter representing a body's characteristics while including height, weight, body fat, pulse rate, blood information, and the like. Regression analysis with blood pressure is used to calculate an appropriate regression equation. The calculated regression equation can be used to predict blood pressure and to allow for non-invasive and continuous blood pressure measurement.

Hereinafter, a comparison result of an average and a standard deviation of an error when blood pressure is measured (predicted) by using the blood pressure measuring device 200 and the conventional blood pressure measuring device 100 according to the present invention will be described. It is shown in the table below.

Average error [mmHg] Standard Deviation Blood pressure measuring device according to the prior art 9.489 6.038 Blood pressure measuring device according to the present invention 5.143 3.790

Referring to the table, it can be seen that more accurate blood pressure value can be predicted by using the PTT and body feature parameters than when using the PTT alone. In addition, the blood pressure measuring apparatus 200 according to the present invention has a larger number of consideration factor values (ie, body feature parameters, measured blood pressure values, and PTT values corresponding to the measured blood pressure values) stored in the storage unit 225. It is obvious that accurate blood pressure values can be predicted.

As described above, the method and apparatus for measuring blood pressure using pulse wave propagation time and body feature parameters according to the present invention do not require the individual to first perform an individual calibration in order to measure blood pressure, and simply and continuously using a non-invasive method. Blood pressure can be measured.

In addition, the present invention can easily implement a blood pressure measuring device as a portable device, and enables a continuous blood pressure measurement using a general formula that can be used simultaneously by a plurality of subjects.

Although the above has been described with reference to a preferred embodiment of the present invention, those skilled in the art to which the present invention pertains without departing from the spirit and scope of the present invention as set forth in the claims below It will be appreciated that modifications and variations can be made.

Claims (10)

In the blood pressure measuring device using the pulse wave transmission time and body characteristics parameters, An input unit for receiving a body feature parameter and a blood pressure measurement command of a subject; A storage unit for storing one or more consideration factor values, wherein the consideration factor values include body feature parameters, pre-measured blood pressure value information, and pulse transit time (PTT) values corresponding to the blood pressure value information. box-; A PTT measurement unit configured to calculate a pulse wave propagation time (PTT) value using electrocardiogram (ECG) information and photoplethysmography (PPG) information corresponding to the subject; A determination unit for calculating a blood pressure value corresponding to the subject by using the body characteristic parameter of the subject, the calculated pulse wave propagation time (PTT) value, and a set regression equation corresponding to the blood pressure measurement command, wherein the regression formula is a blood pressure Equations each having a value and a body feature parameter as variables; And And a display unit for displaying the calculated blood pressure value. The method of claim 1, Further comprising a correction unit for updating the predetermined regression equation using a regression generation program stored in advance in the storage unit for updating the consideration factor value and the regression equation stored in the storage unit, The correction unit operates when a regression correction command is input through the input unit, and the determination unit calculates the blood pressure value using the regression equation updated by the correction unit. The method of claim 2, And the calibrating unit updates the coefficients a and b and the constant c of the following regression equation using a regression update method according to the regression generation program.

The method of claim 2, The regression generation program is a blood pressure measuring device, characterized in that the program corresponding to at least one of Statistical Package of Social Science (SPSS), Statistical Analysis System (SAS), Minitab, Statistigraph. The method of claim 3, The body characteristic parameter includes at least one of height, weight, body fat percentage, body fat mass, pulse rate, blood viscosity, blood vessel elasticity, arm circumference and arm length, and each body characteristic parameter has an independent coefficient. Blood pressure measuring device. In the recording medium recording program that can be read by the blood pressure measuring device is implemented tangibly implemented by the blood pressure measuring device to perform the blood pressure measuring method, Generating electrocardiogram (ECG) information and photoplethysmography (PPG) information corresponding to the subject when the blood pressure measurement command and the body feature parameter of the subject are input; Calculating a pulse wave propagation time (PTT) value using the generated electrocardiogram (ECG) information and photoelectric exclusive pulse wave (PPG) information; Calculating a blood pressure value corresponding to the subject by using the body characteristic parameter of the subject, the calculated pulse wave propagation time (PTT) value, and a set regression equation corresponding to the blood pressure measurement command, wherein the regression formula is a blood pressure value And equations each having body feature parameters as variables; And And a recording medium for recording a program for executing the step of displaying the calculated blood pressure value. The method of claim 6, Determining whether a regression correction command is input; And If a regression correction command is input, the method further includes updating the preset regression equation by using one or more previously considered factor values and a pre-stored regression generation program for regression update. The consideration factor value includes a body characteristic parameter, pre-measured blood pressure value information, and a pulse transit time (PTT) value corresponding to the blood pressure value information. The method of claim 7, wherein The updating of the regression equation may include recording a program comprising updating the coefficients a, b, and the constant c of the following regression equation using a regression update method according to the regression generation program.

The method of claim 7, wherein The regression generating program is a recording medium recording a program, characterized in that the program corresponding to at least one of Statistical Package of Social Science (SPSS), Statistical Analysis System (SAS), Minitab, Statistigraph. The method of claim 8, The body characteristic parameter includes at least one of height, weight, body fat percentage, body fat mass, pulse rate, blood viscosity, blood vessel elasticity, arm circumference and arm length, and each body characteristic parameter has an independent coefficient. Recording medium that records the program.

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