KR20140134143A - the Vacuous Pulse and Replete Pulse Prediction Unit Using Clamping Pulsimeter Device and Prediction Method thereof - Google Patents

Abstract

The present invention relates to a vacuous pulse and replete pulse prediction device using a clip type pulsimeter, a prediction method thereof, and a recording medium storing program code for executing the method with a computer. By using the clip type pulsimeter, diastalsis peak of radial artery, reflected wave peak, time, incisura peak and time can be measured. Also, by using gender, age, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse wave variable of S.amp, R.amp, N.amp, R.time, N.time, the vacuous pulse and replete pulse can be predicted. The present invention includes: a wave form factor computing unit (600) for storing after computing S.amp, R.amp, N.amp, S.time, R.time, N,time using the signals processed by a differential pulse wave signal processing unit, receiving the gender, age, BMI, SBP, DBP of a testee, and computing the term coefficient (B); and a vacuous pulse and replete pulse determining unit (700) for calculating the probability of vacuous pulse and replete pulse by computing data provided from the wave form factor computing unit using the term algorithm (P).

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and a method for predicting a pulse and a pulse of a pulse, and a recording medium storing a program code for causing the method to be executed by a computer.

[0001] The present invention relates to a device and a method for predicting a pulse and pulse wave using a clamping type pulse generator, and a recording medium storing a program code for causing a computer to execute the method. In particular, (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), and systolic blood pressure (DBP) were measured, And a method of predicting a beating pulse and a beating pulse using the forceps type pulse cushion characterized in that the beating pulse and the beating pulse are predicted by using the pulse wave parameters of R.amp, N.amp, R.time, N.time, And a recording medium storing program code for causing the computer to execute the program.

Health care for chronic diseases is a major concern due to an increase in the elderly population both at home and abroad. Especially, it is expected that the economic ripple effects of the CAM market and the demand for domestic oriental medicine will increase. Especially for vascular diseases, it is very necessary to manage the pathologies such as cardiovascular, cerebrovascular, and peripheral blood vessels. In the case of hypertension or cardiovascular disease, it is necessary to analyze the radial artery wave as well as the continuous vascular pressure. Radial artery waves are particularly important by providing basic data on health care.

In Korea, in September 2007, the impedance measurement was performed in the wrist radial artery in September 2007, and the pulse was measured. DK City developed a pulse measurement device. The product developed by Biospace Co., Ltd. and DK City developed the bioimpedance and hand The use of pulses has a problem in that the noise ratio is very high depending on the moisture and drying state caused by sweat. The pressure reducing valve of the wrist blood pressure meter developed by Korea Meditech Co., Ltd. is manual and may cause pain when used for a long time. The U-health care system, which was independently developed by Korea Electronics and Telecommunications Research Institute and Korea Electrotechnology Research Institute, analyzes multiple biological signals such as heart rate, body temperature, and respiratory rate using a portable terminal attached to the wrist or chest, However, there is a problem in medical activation because there is no pulse wave and blood pressure measurement function.

Outside the country, Omron Colin develops and sells a blood pressure pulse wave monitoring device through multichannel sensing, but it can only be measured in a static state and is not suitable for wearing during exercise. Japan Toshiba Ctek 2006 Wearable type sleep sensor does not match about 25% compared with the judgment of the result of the estimation of the product of the sleeping phase or the product which added the alarm function in conjunction with the mobile phone and manages the body condition in the house and travel from the movement of the body . Kim Kwan Chang has 7 sensors in a row and Medtek's wearable volumetric pulse wave analyzer "WristOx" in the US has a disadvantage of measuring the oxygen concentration of the digital pulse erythrocyte hemoglobin by inserting it into the finger but not giving information about pulse or blood pressure .

Therefore, in order to increase the reliability of oriental medicine and expand the scope of oriental medicine treatment at home and abroad, objectification of herbal diagnostic equipment such as pulse and seashin is urgently required. It has improved the reliability of the oriental medical device and satisfies the demand in the clinic field by improving the fact that the measurement result is different according to the measurement position, It is important to be able to cope with the problem.

On the other hand, in the diagnosis of oriental medicine, it is one of the most important vascular diseases and it can be used for diagnosis and treatment of Oriental medicine. For the oriental medicine industry, diagnosis of pulsatile pulses can be very important factor. There are 28 pulse types in the TCM classification according to space, time, and century, but there are seven pulse types that can be distinguished from the conventional pulse type. Especially, the discrimination formula for the weak pulse that is distinguishable among seven pulses is not yet developed.

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems, and it is an object of the present invention to provide a method and apparatus for measuring pulsatile pulse wave peak value, reflected wave peak value, time, By applying the regression analysis method, the regression equation including five major pulse factors is obtained.

As means for achieving the above object,

According to the present invention, there is provided an electronic device comprising a plurality of members (10a, 10b) hinge-coupled with a center of rotation spaced from a center, an elastic member And a pulse-wave detecting unit (20) installed on the wearer and sensing a pulse wave; An initial pulse wave signal processing unit 200 for processing the pulse wave signal transmitted from the clamping type pulse generator to generate coordinates; A first differential pulse wave signal processing unit 300 for first-differentiating a pulse wave signal of the initial pulse wave signal processing unit to form a velocity pulse wave; A second differential pulse wave signal processing unit (400) for forming an acceleration pulse wave by second differentiating the pulse wave signal of the first differential pulse wave signal processing unit; A third-order differential pulse-wave signal processor 500 for third-order differentiating the pulse-wave signal of the second-stage differentiated pulse-wave signal processor to form a displacement-accelerated pulse wave; Using the signal processed by the third differential pulse wave signal processing unit, the amplitude of the peak to systolic peak (S.amp), the amplitude to the reflected peak (R.amp), the peak of the notch peak N.amp which is the size of the sagittal plane, S.time which is the time to reach the systolic peak, R.time which is the time to reach the peak of the reflected wave, N, age, constitution index (BMI; Body Mass index [kg / m 2]) , and a diastolic blood pressure (SBP; systolic blood pressure) and a systolic blood pressure; receives the (DBP diastolic blood pressure) including calculating a regression coefficient (B) A waveform factor calculation unit 600; And a warp and vowel discrimination unit 700 for calculating the probability of the vowel and vowel by calculating the data provided from the waveform factor calculator using the recursive algorithm P.

Further, the recursive algorithm (P) of the above-mentioned meridian and vital sign discrimination unit is characterized by being summarized by the following equation.

Here, β ₀ is a regression coefficient (B-value) derived from logistic regression analysis of β ₀ is a constant term, and the other _{β 1, β 2, β 3} , β 4, β 5, β 6, the same accounting coefficient B value this is applied, _{and, X 1, X 2, X} 3, X 4, X 5 are the five calibration parameters sex, age, constitution index, diastolic blood pressure, systolic pressure, and the remaining X ₆ are five main variables S.amp, R, amp, N, amp, Rtime, and Ntime.

(S10) measuring a pulse wave for a predetermined period of time using a clamping type pulse generator when the program is started; Calculating an initial pulse wave based on the measured pulse wave data (S20); (S30) of first differentiating the initial pulse wave based on the measured pulse wave data; A step (S40) of calculating a second-order differential waveform again differentiated from the first-order differential wave based on the measured pulse-wave data; A step (S50) of calculating a third-order differential waveform again differentiated from the second-order differential wave based on the measured pulse-wave data; S.amp which is the size from the tertiary differential waveform to the systolic peak, R.amp which is the size from the peak to the reflected peak, N.amp which is the size of the notch peak of the annulus, (BMI), body mass index (BMI), body mass index (BMI), body mass index (BMI) and body mass index A step S60 of calculating a recurrence coefficient B based on an index [kg / m ² ], a systolic blood pressure (SBP), a diastolic blood pressure (DBP), and the like; And calculating the probability of the weir and the vein by calculating the data provided from the step using the recursive algorithm (S70).

A program code for measuring a pulse wave for a predetermined time using a clamping type pulse generator when a program is started; A program code for calculating an initial pulse wave based on the measured pulse wave data; A program code for first differentiating the initial pulse wave based on the measured pulse wave data; A program code for calculating a second derivative waveform again differentiated from the first derivative wave based on the measured pulse wave data; A program code for calculating a third-order differential waveform again differentiated from a second-order differential wave based on the measured pulse-wave data; S.amp which is the size from the tertiary differential waveform to the systolic peak, R.amp which is the size from the peak to the reflected peak, N.amp which is the size of the notch peak of the annulus, (BMI), body mass index (BMI), body mass index (BMI), body mass index (BMI) and body mass index A program code for calculating a recurrence coefficient B based on an Index [kg / m ² ]), a systolic blood pressure (SBP), a diastolic blood pressure (DBP) And a program code for calculating the probability of the pulse and the pulse by calculating the data provided from the waveform factor calculator using a recursive algorithm.

As described above, according to the present invention, pulses are obtained using a clamping type pulse generator, the shrink wave peak value, the reflected wave peak value, the time, the cut-off peak value and the time of the radial artery wave are respectively measured and a logistic regression analysis method is applied By using the regression equation containing five major pulse factors, it is possible to implement a one-way diagnostic algorithm that can distinguish between a pulse and a pulse.

1 is a block diagram of a configuration of the present invention;
2 is a block diagram showing a detailed configuration of a pulse wave detecting device of the present invention.
3 is a detailed block diagram of a pulse wave sensing unit of the present invention.
FIG. 4 is a state in which the clip-type pulse maker of the present invention is worn on the wrist. FIG.
5 is a flowchart showing an operation state of the present invention.

The operation principle of the preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings and description. It should be understood, however, that the drawings and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention, and are not to be construed as limiting the present invention.

In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The terms used below are defined in consideration of the functions of the present invention, which may vary depending on the user, intention or custom of the operator. Therefore, the definition should be based on the contents throughout the present invention.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. The configuration is omitted as much as possible, and a functional configuration that should be additionally provided for the present invention is mainly described.

Those skilled in the art will readily understand the functions of the components that have been used in the prior art among the functional configurations that are not shown in the following description, The relationship between the elements and the components added for the present invention will also be clearly understood.

In order to efficiently explain the essential technical features of the present invention, the following embodiments properly modify the terms so that those skilled in the art can clearly understand the present invention, It is by no means limited.

As a result, the technical idea of the present invention is determined by the claims, and the following embodiments are merely illustrative of the technical idea of the present invention in order to efficiently explain the technical idea of the present invention to a person having ordinary skill in the art to which the present invention belongs. .

1 is a block diagram of a configuration of the present invention;

2 is a block diagram showing a detailed configuration of a pulse wave detecting device of the present invention.

3 is a detailed block diagram of a pulse wave sensing unit of the present invention.

FIG. 4 is a state in which the clip-type pulse maker of the present invention is worn on the wrist. FIG.

5 is a flow chart showing an operation state of the present invention,

1, the waveform display apparatus using the clamping type pulse generator of the present invention includes a clamping type pulse generator 100, an initial pulse wave signal processing unit 200, a first differential pulse wave signal processing unit 300, A second differential pulse wave signal processing unit 400, a third differential pulse wave signal processing unit 500, a waveform factor calculation unit 600, and a still pulse and pulse detection unit 700.

The gripper-type pulse machine 100 includes a plurality of members hinge-coupled with a center of rotation spaced from the center, and an elastic member that imparts torsional elasticity to the plurality of members so that one side of the plurality of members, And a pulse wave detecting unit installed on the wearer and sensing a pulse wave.

A radial artery pulse wave measuring apparatus (100) according to the present invention comprises a member (110) of a carpenter whose hinge is hinged and spaced apart from a center of rotation, and a torsion bar An input button 140 and a display window 150, which are installed on the wearer's body and detect a pulse wave.

The pulse wave detecting unit 130 includes a skin contact unit 131 composed of a permanent magnet and a pulse wave sensor unit 132 formed at one or more of the hall elements spaced apart from the skin contact unit 131 by a predetermined distance, And a spacing space part 133 formed between the contact part and the pulse wave sensor part to form a predetermined space.

The pulse wave detection sensor unit 132 includes a multiplexer 132b for receiving a plurality of signals from an output terminal of the multi-channel voltage change detection circuit 132a and selecting one of the signals; A microprocessor (132c) controlling the multiplexer to receive one signal from each of the multiplexers, packetizes the multiplexed signals at a predetermined resolution, and transmits the packets; And a communication driver 132d for transmitting the packet digital signal input through the control of the microprocessor to the external image processing apparatus.

Meanwhile, the spacing space 133 of the present invention is preferably filled with a positive pressure chamber or a soft pad that maintains a predetermined pressure. The function of the spacing space portion 133 in the present invention is to maintain a predetermined gap between the skin contact portion 131 and the pulse wave sensor portion 132 and to change the magnetic field caused by the magnetic body of the skin contact portion 131 To the pulse wave detection sensor unit 132 as it is. Therefore, any means can be used in the present invention as long as the predetermined spacing distance can be maintained and the change in the magnetic field caused by the magnetic body of the skin contacting portion 131 can be transmitted to the pulse wave sensor portion 132 as it is.

The distance between the skin contacting portion 131 and the pulse wave detecting sensor portion may be determined by the magnetic field strength of the magnetic body of the skin contacting portion 131 and the magnetic field strength of the unit cell of the pulse wave detecting sensor portion 132 However, if the magnetic substance of the skin contact portion 131 is a ribbon-type magnetic pad having a magnetic field strength of 200 to 300 Oe, the spacing distance is preferably maintained at 1 to 3 mm.

In addition, by attaching a pressure regulating device to the positive pressure chamber, it is possible to easily obtain a pulse of "negative", "medium" or "needle" according to the pulse method of traditional oriental medicals.

However, in order to properly perform the function of the pressure regulating device, when the pressure of the chamber is increased by implementing the pulse sensor according to the present invention on a wristwatch, a bracelet or the like, the increased pressure is directly applied to the skin contacting portion 131 To be transmitted.

The pulse wave signal processing unit 200 processes the pulse wave signal transmitted from the clamping type pulse generator to generate coordinates.

The primary differential pulse-wave signal processing unit 300 first differentiates the pulse-wave signal of the initial pulse-wave-signal processing unit to form a velocity pulse wave.

The second differential pulse-wave signal processing unit 400 second-differentiates the pulse-wave signal of the first differential pulse-wave signal processing unit to form an acceleration pulse wave.

The third differential pulse-wave signal processing unit 500 third-differentiates the pulse-wave signal of the second differential pulse-wave signal processing unit to form a displacement acceleration pulse-wave.

The waveform factor calculator 600 calculates the waveform factor of the waveform from the third order differential waveform to S.amp which is a systolic peak, R.amp which is a magnitude from a reflected peak to a peak of a notch peak N.amp which is the size of the sagittal plane, S.time which is the time to reach the systolic peak, R.time which is the time to reach the peak of the reflected wave, N, age, constitution index (BMI; Body Mass index [kg / m 2]) , and a diastolic blood pressure (SBP; systolic blood pressure) and a systolic blood pressure; receives the (DBP diastolic blood pressure) including calculating a regression coefficient (B) do.

The Mom and Mom coefficient determining unit 700 calculates the probability of the Mom and Mom by calculating data provided from the waveform factor calculator using a recursive algorithm.

That is, the actual probability P is calculated by the following equation, so that the probability of the pulse of the pulse is calculated.

Here, β ₀ is a regression coefficient (B-value) derived from logistic regression analysis of β ₀ is a constant term, and the other _{β 1, β 2, β 3} , β 4, β 5, β 6, the same accounting coefficient B value this is applied, _{and, X 1, X 2, X} 3, X 4, X 5 are the five calibration parameters sex, age, constitution index, diastolic blood pressure, systolic pressure, and the remaining X ₆ are five main variables S.amp, R, amp, N, amp, Rtime, and Ntime.

(Example 1)

The logistic regression analysis was performed on the clinical data of both the aphasia group and the empiric group and the discriminant regression equation of the hemorrhagic vein and the pulmonary vein was analyzed by using the sex, age, BMI, SBP and diastolic blood pressure DBP) and S.amp, R.amp, N.amp, R.time, and N.time were used. R.time and N.time were selected as representative variables of pulse wave size and time of reflected wave, and logistic regression equations were obtained from p values and regression coefficient B values shown in Table 1 for each. The logistic regression equations for obtaining the predictive probability algorithm for discriminating the weir and vein in the model made by the correction parameters of R.time and N.time which are the maximum peak value and the time value of reflected wave size by applying the logistic regression model are shown in Eqs. (2), respectively.

Major
parameters R.time N.time B p value B p value Sex .060 .882 .057 .889 Age -0.12 .438 -.014 .348 BMI .129 .061 .132 .058 SBP .031 .057 .030 .072 DBP -.005 .848 .000 .989 R.time .011 .040 - - N.time - - .012 .020 Constant -9.399 .000 -10.425 .000

0.1 占 BMI + 0.031 占 SBP-0.005 占 BDP + 0.011 占 R.time (1) Predetermined log P / (1-P)

SEP + 0.012 x N.time (2) " (1) " log {P / (1-P)} = -10.425 + 0.057 x Sex- 0.014 x Age + 0.132 x BMI + 0.030 x SBP +

The value of P in Eq. (1) and Eq. (2) is estimated to be between 0.0 and 1.0. For example, by substituting the variables R.time and N.time, which are determined in the pulse wave, into the regression equation, if the P value is 0.2, the probability of a hematemesis is 80% and the probability of a hematoma is 20% The probability is 20%, and the probability of the actual beat is 80%.

Finally, it can be seen that R.time and N.time also have high significance.

The operation flow of the present invention is as follows.

A first step S10; When the program is started, the pulse wave is measured for a predetermined time using a clamping type pulse wave machine.

A second step S20; The initial pulse wave is calculated based on the measured pulse wave data.

A third step S30; First differentiates the initial pulse wave based on the measured pulse wave data.

A fourth step S40; Based on the measured pulse wave data, a second-order differential waveform is obtained by again differentiating the first-order differential wave.

Fifth step S50; Based on the measured pulse wave data, a third-order differential waveform is obtained by again differentiating the second-order differential wave.

Step S60; S.amp which is the size from the tertiary differential waveform to the systolic peak, R.amp which is the size from the peak to the reflected peak, N.amp which is the size of the notch peak of the annulus, (BMI), body mass index (BMI), body mass index (BMI), body mass index (BMI) and body mass index Index [kg / m ² ]), systolic blood pressure (SBP), diastolic blood pressure (DBP), and the like.

Step 7 (S70); And calculates the probability of the mortar and the pulse by calculating the data provided from the waveform factor calculator using the recursive algorithm.

In the present invention, after the pulse is detected through the clamping type pulse generator, various processes are performed through the program code.

At this point, it will be appreciated that the combinations of blocks and flowchart illustrations in the process flow diagrams may be performed by computer program instructions. These computer program instructions may be loaded into a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, so that those instructions, which are executed through a processor of a computer or other programmable data processing apparatus, Thereby creating means for performing functions. These computer program instructions may also be stored in a computer usable or computer readable memory capable of directing a computer or other programmable data processing apparatus to implement the functionality in a particular manner so that the computer usable or computer readable memory The instructions stored in the block diagram (s) are also capable of producing manufacturing items containing instruction means for performing the functions described in the flowchart block (s). The computer program instructions may be loaded onto a computer or other programmable data processing equipment so that a series of operating steps may be performed on the computer or other programmable data processing equipment to create a computer- It is also possible for the instructions to perform the processing equipment to provide steps for executing the functions described in the flowchart block (s).

In addition, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing the specified logical function (s). It should also be noted that in some alternative implementations, the functions mentioned in the blocks may occur out of order. For example, two blocks shown in succession may actually be executed substantially concurrently, or the blocks may sometimes be performed in reverse order according to the corresponding function.

In this embodiment, the code means a hardware component such as software, a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC), and the code performs certain functions. However, the code is not meant to be limited to software or hardware. The code may be configured to reside on an addressable storage medium and configured to play one or more processors. Thus, by way of example, the code may include components such as software components, object-oriented software components, class components and task components, and processes, functions, attributes, procedures, subroutines , Segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functions provided in the components and codes may be combined into a smaller number of components and modules or further separated into additional components and codes. In addition, components and codes may be implemented to reproduce one or more CPUs in the device.

The present invention provides a blood pressure monitor, comprising: program code for measuring a pulse wave for a predetermined period of time using a pincer-type pulse generator when a program is started; A program code for calculating an initial pulse wave based on the measured pulse wave data; A program code for first differentiating the initial pulse wave based on the measured pulse wave data; A program code for calculating a second derivative waveform again differentiated from the first derivative wave based on the measured pulse wave data; A program code for calculating a third-order differential waveform again differentiated from a second-order differential wave based on the measured pulse-wave data; S.amp which is the size from the tertiary differential waveform to the systolic peak, R.amp which is the size from the peak to the reflected peak, N.amp which is the size of the notch peak of the annulus, (BMI), body mass index (BMI), body mass index (BMI), body mass index (BMI) and body mass index A program code for calculating a recurrence coefficient B based on an Index [kg / m ² ]), a systolic blood pressure (SBP), a diastolic blood pressure (DBP) And a program code for calculating the probability of the pulse and the pulse by calculating the data provided from the waveform factor calculator using a recursive algorithm.

100: Radial artery pulse wave measuring device
110: operating member
120:
130:
131: Skin contact
132: a pulse wave detecting sensor unit
133:
140: Operation button
150: Display panel
200: initial pulse wave signal processor
300: primary differential pulse wave signal processor
400: Second differential pulse wave signal processor
500: Third differential pulse wave signal processor
600: waveform factor calculation unit
700: Mandatory vein and pulsation discrimination part

Claims (6)

A plurality of members (10a, 10b) hinged to the center of rotation spaced from the center, and an elastic member for imparting torsional elasticity such that one side of the plurality of members (10) and a pulse-wave detecting unit (20) provided on the wearer and sensing a pulse wave;
An initial pulse wave signal processing unit 200 for processing the pulse wave signal transmitted from the clamping type pulse generator to generate coordinates;
A first differential pulse wave signal processing unit 300 for first-differentiating a pulse wave signal of the initial pulse wave signal processing unit to form a velocity pulse wave;
A second differential pulse wave signal processing unit (400) for forming an acceleration pulse wave by second differentiating the pulse wave signal of the first differential pulse wave signal processing unit;
A third-order differential pulse-wave signal processor 500 for third-order differentiating the pulse-wave signal of the second-stage differentiated pulse-wave signal processor to form a displacement-accelerated pulse wave;
Using the signal processed by the third differential pulse wave signal processing unit, the amplitude of the peak to systolic peak (S.amp), the amplitude to the reflected peak (R.amp), the peak of the notch peak N.amp which is the size of the sagittal plane, S.time which is the time to reach the systolic peak, R.time which is the time to reach the peak of the reflected wave, N, age, constitution index (BMI; Body Mass index [kg / m 2]) , and a diastolic blood pressure (SBP; systolic blood pressure) and a systolic blood pressure; receives the (DBP diastolic blood pressure) including calculating a regression coefficient (B) A waveform factor calculation unit 600;
And a pulse counting unit 700 for calculating the probability of the pulse and the pulse by calculating the data provided from the waveform factor calculator using the recursive algorithm P, A device for predicting mortar and forceps. The method according to claim 1,
Wherein the recursive algorithm (P) of the meridian and vowel discrimination unit (700) is summarized by the following equation.

Here, β ₀ is a regression coefficient (B-value) derived from logistic regression analysis of β ₀ is a constant term, and the other _{β 1, β 2, β 3} , β 4, β 5, β 6, the same accounting coefficient B value this is applied, _{and, X 1, X 2, X} 3, X 4, X 5 are the five calibration parameters sex, age, constitution index, diastolic blood pressure, systolic pressure, and the remaining X ₆ are five main variables S.amp, R, amp, N, amp, Rtime, and Ntime. (S10) of measuring a pulse wave for a predetermined period of time using a clamping type pulse generator when the program starts;
Calculating an initial pulse wave based on the measured pulse wave data (S20);
(S30) of first differentiating the initial pulse wave based on the measured pulse wave data;
A step (S40) of calculating a second-order differential waveform again differentiated from the first-order differential wave based on the measured pulse-wave data;
A step (S50) of calculating a third-order differential waveform again differentiated from the second-order differential wave based on the measured pulse-wave data;
S.amp which is the size from the tertiary differential waveform to the systolic peak, R.amp which is the size from the peak to the reflected peak, N.amp which is the size of the notch peak of the annulus, (BMI), body mass index (BMI), body mass index (BMI), body mass index (BMI) and body mass index A step S60 of calculating a recurrence coefficient B based on an index [kg / m ² ], a systolic blood pressure (SBP), a diastolic blood pressure (DBP), and the like;
And calculating the probability of the staple vein and the staple by calculating the data from the step using the recursive algorithm (S70). The method of claim 3,
The method of claim 1, wherein, in calculating the probabilities of the M and M pulses, the recursion algorithm (P) is summarized by the following equation.

Here, β ₀ is a regression coefficient (B-value) derived from logistic regression analysis of β ₀ is a constant term, and the other _{β 1, β 2, β 3} , β 4, β 5, β 6, the same accounting coefficient B value this is applied, _{and, X 1, X 2, X} 3, X 4, X 5 are the five calibration parameters sex, age, constitution index, diastolic blood pressure, systolic pressure, and the remaining X ₆ are five main variables S.amp, R, amp, N, amp, Rtime, and Ntime. A program code for measuring a pulse wave for a predetermined period of time using a clamping type pulse generator when the program starts;
A program code for calculating an initial pulse wave based on the measured pulse wave data;
A program code for first differentiating the initial pulse wave based on the measured pulse wave data;
A program code for calculating a second derivative waveform again differentiated from the first derivative wave based on the measured pulse wave data;
A program code for calculating a third-order differential waveform again differentiated from a second-order differential wave based on the measured pulse-wave data;
S.amp which is the size from the tertiary differential waveform to the systolic peak, R.amp which is the size from the peak to the reflected peak, N.amp which is the size of the notch peak of the annulus, (BMI), body mass index (BMI), body mass index (BMI), body mass index (BMI) and body mass index A program code for calculating a recurrence coefficient B based on an Index [kg / m ² ]), a systolic blood pressure (SBP), a diastolic blood pressure (DBP)
And a program code for calculating a probability of a pulse and a pulse by calculating the data provided from the waveform factor calculator using a recursive algorithm. Recording medium. 6. The method of claim 5,
Wherein the program code for calculating the probability of the meridian and the pulse is summarized by the following equation: < RTI ID = 0.0 > (P) < / RTI >

Here, β ₀ is a regression coefficient (B-value) derived from logistic regression analysis of β ₀ is a constant term, and the other _{β 1, β 2, β 3} , β 4, β 5, β 6, the same accounting coefficient B value this is applied, _{and, X 1, X 2, X} 3, X 4, X 5 are the five calibration parameters sex, age, constitution index, diastolic blood pressure, systolic pressure, and the remaining X ₆ are five main variables S.amp, R, amp, N, amp, Rtime, and Ntime.

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