CN110881967A - Non-invasive multi-segment peripheral arterial vessel elastic function detection method and instrument thereof - Google Patents
Non-invasive multi-segment peripheral arterial vessel elastic function detection method and instrument thereof Download PDFInfo
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Abstract
The invention relates to a method and an instrument for non-invasive multi-segment peripheral arterial vessel elasticity function determination, which are characterized in that: synchronously acquiring the I-lead electrocardiogram and the multi-segment peripheral blood vessel photoplethysmography, calculating and analyzing the multi-segment pulse wave conduction velocity (PWV), and evaluating the peripheral blood vessel elasticity function. The method comprises the following steps: A. detecting the I-th lead electrocardiographic waveform by adopting an electrocardiographic information acquisition module of the instrument; B. detecting peripheral multi-section pulse wave waveforms by adopting a pulse wave acquisition module of the instrument; C. and calculating and analyzing a Pulse Wave Velocity (PWV) parameter by adopting a pulse wave velocity determination module of the instrument. The detection instrument includes: the device comprises a collection box module, an electrocardio-lead wire, a plurality of photoplethysmography sensors and a computer (PC). The invention realizes the determination of the blood vessel elastic function by taking the electrocardiosignals as the starting point of the pulse wave and taking the multi-segment pulse waves as the end point, thereby improving the accuracy and the convenience of the measurement.
Description
Technical Field
The invention belongs to the technical field of non-invasive medical detection, and particularly relates to a detection system for evaluating the elasticity function of peripheral arterial vessels by using multi-segment pulse wave conduction velocity.
Background
Peripheral Arterial vascular Disease (PAD) refers to a Disease of stenosis, occlusion or neoplasia of the coronary arteries, the aorta and its branches, except the cerebral arteries, of the heart, and its main cause is Peripheral atherosclerosis. Peripheral arterial atherosclerosis is a systemic disease that often involves peripheral arterial blood vessels including arteries of the upper and lower extremities. Researches show that the incidence rate of PAD is high, and the PAD is widely popular among high-risk patients in the elderly; PAD is a powerful prediction factor of myocardial infarction, coronary heart disease, cerebral apoplexy and death of other vascular diseases, and is an equal risk symptom of the coronary heart disease; PAD causes high disability rate of severe patients and seriously affects the quality of life. PAD significantly increases morbidity and mortality from cardiovascular disease. Therefore, the early detection, early prevention and early treatment of PAD have important significance for reducing the occurrence of cardiovascular and cerebrovascular diseases and improving life treatment.
The method for non-invasively detecting the elastic function of the arterial vessel comprises the following steps: pulse Wave Velocity (PWV) and Pulse Wave waveform Analysis (PWA).
The Pulse Wave Velocity (PWV) measurement technique is mainly calculated from the distance and transit time of a pulse wave passing through two measurement points. Known pulse wave velocity measurements include two types: a neck-femoral pulse wave velocity (CF-PWV) measured based on the pressure sensor, a neck-ankle pulse wave velocity (CA-PWV), a neck-radial pulse wave velocity (CR-PWV), and a brachial-ankle pulse wave velocity (BA-PWV) measured based on the blood pressure cuff. The former is to detect the pulse wave at the pulse point position of the body surface artery (carotid artery, femoral artery, radial artery and ankle artery) by a pressure sensor, analyze the pulse wave conduction time difference from the carotid artery pulse wave to the measuring point (femoral artery measuring point, radial artery measuring point and ankle artery measuring point), and as shown in fig. 1, the method is a schematic diagram for measuring the pulse wave conduction speed by using the pressure sensor, as described in the Chinese invention patent CN201210570255.2, the method and the device for detecting the cardiovascular function based on the multi-path pulse wave waveform analysis, as described in the Chinese invention patent CN201220708408.0, the sensor assembly used in the pulse wave speed measuring system and the method described in the pulse wave speed measuring system; the latter is a method of measuring the pulse wave conduction velocity from the arm to the ankle by attaching a blood pressure cuff to four limbs (left and right upper arms, left and right ankles), as shown in fig. 2, which is a schematic diagram of measuring the pulse wave conduction velocity based on the blood pressure cuff, inflating the blood pressure cuff to a fixed pressure value, detecting the pulse waves of the upper arm part and the ankle part, analyzing the pulse wave conduction time difference between the upper arm part and the ankle part, and measuring the pulse wave conduction velocity from the arm to the ankle, as described in chinese patent invention CN201210270122.3, a noninvasive and accurate arterial function strategy apparatus.
The known pulse wave velocity measuring method is characterized in that: in the known measurement of the pulse wave velocity, the initial point of the pulse wave propagation is artificially determined as the carotid pulse wave or the upper arm pulse wave. Actually, the heart is shot into the blood in the aorta in the systolic period, the generated pulse wave is conducted to the peripheral blood vessel through the blood vessel wall, and the initial point of the pulse wave conduction is determined as the initial point of the pulse wave conduction of the electrocardiogram waveform R wave. Since the conduction direction from the heart to the carotid artery or the upper arm artery is opposite to the conduction direction from the heart to the ankle, the known pulse wave velocity measurement using the carotid pulse wave or the upper arm artery pulse wave as the initial point of the pulse wave cannot reflect the measurement of the true pulse wave velocity.
The pulse wave conduction velocity is detected based on the pressure sensor, and the measurement premise is that the body surface pulse wave pulse point needs to be accurately found, so the operation is inconvenient. The pulse wave conduction velocity is detected based on the blood pressure cuff, and the four-limb blood pressure cuff is pressurized to press the four-limb artery when the blood pressure cuff lasts for about 1 minute, so that the method further increases the resistance of peripheral blood vessels, increases the blood pumping pressure of the heart, leads to measurement in an abnormal physiological state, and finally influences the measurement of the real pulse wave conduction velocity.
The known pulse wave propagation detection method described above mainly measures the carotid-femoral pulse wave propagation velocity (CF-PWV) and the brachial-ankle pulse wave propagation velocity (BA-PWV) measured by a blood pressure cuff, and these indices are mainly used to evaluate the arterial elastic function of the lower limb, but are not used to measure the arterial elastic function of the peripheral blood vessels of the whole body such as the upper limb of the human body, the left and right carotid artery systems, and the like.
Disclosure of Invention
The problems to be solved by the invention are as follows:
the present invention has been made in view of the above problems, and it is an object of the present invention to provide a simple, non-invasive, accurate method and apparatus for detecting elastic function of multiple segmental arterial vessels, which can non-invasively and accurately measure parameters of elastic function of multiple segmental arterial vessels, including pulse wave velocity and waveform analysis of the segmental arterial vessels.
To solve the problem 1: an examination method for determining the initial point of pulse wave conduction and determining the electrocardiogram waveform R wave as the initial point of pulse wave conduction.
Problem 2 is solved: the method for measuring the pulse wave of the photoelectric volume is adopted, the PPG pulse wave signals obtained by measuring the PPG pulse wave signals of the photoelectric volume pulse wave (PPG) are simple and convenient, and the technology for measuring the change pulse wave of the blood volume in the tissue blood vessel can be used in the normal physiological state, and the photoelectric volume pulse wave sensor comprises a transmission type photoelectric volume pulse wave sensor and a reflection type photoelectric volume pulse wave sensor, and is shown in figure 3.
Problem 3 is solved: determining an examination mode of a multi-section peripheral artery vessel, wherein the multi-section is the section distribution of the peripheral artery vessel taking a heart as a starting point and is mainly divided into the following sections: the artery segment from the heart to the index finger of the left upper limb, the artery segment from the heart to the index finger of the right upper limb, the artery segment from the heart to the index finger of the left lower limb, the artery segment from the heart to the index finger of the right lower limb, the artery segment from the heart to the earlobe of the right ear, the artery segment from the heart to the earlobe of the left ear, and the artery segment from the heart to the forehead head.
Based on the above analysis, the non-invasive multi-segment peripheral arterial vessel elasticity function detection method and the schematic diagram of the method are as shown in fig. 4, which is a pulse wave velocity method schematic diagram based on photoplethysmography, and electrocardio information R wave is selected as a pulse wave conduction initial time point by collecting I-lead electrocardio information. By collecting the Pulse Wave waveform of the peripheral blood vessel measuring point, a Pulse Wave characteristic point A (Pulse Wave rising initial point) is selected as a Pulse Wave conduction end point Time point, and the difference between the Pulse Wave initial Time point and the conduction end point Time point is Pulse Wave conduction Time (PTT). In the present invention, a plurality of segments of peripheral blood vessels are determined and measured, and the measurement points include four-limb index finger measurement points, left-right ear-lobe measurement points, and forehead measurement points as shown in fig. 4. The Pulse Wave Velocity (PWV) is calculated by dividing the length of the blood vessel by the pulse wave conduction time, so that the elastic function of the peripheral blood vessel artery can be indirectly evaluated.
The method for solving the problems comprises the following steps:
the invention discloses a method for non-invasively measuring the elastic function of a multi-segment peripheral artery, which adopts the technical scheme that the method comprises the following steps:
A. an electrocardiogram information acquisition module of the measuring instrument is adopted to detect the I-th lead electrocardiogram oscillogram of the detected person. The I-th lead electrocardiogram contains complete P-QRS-T waveform group information. The sampling frequency of the electrocardiograph oscillogram is 1000 HZ;
B. a pulse wave acquisition module of the measuring instrument is adopted to detect the waveform of the peripheral multi-section pulse wave. The pulse wave sensor is selected from a transmission type photoelectric volume pulse wave sensor and a reflection type photoelectric volume pulse wave sensor. The system controls the pulse wave sensor to detect the volume pulse wave waveform of peripheral segment blood vessels of a detected person, and the detection part of a multi-segment blood vessel comprises a front forehead part, a left side ear lobe measuring part, a right side ear lobe part, a left index finger part, a right hand index finger part, a left foot index finger part and a right foot index finger part. The pulse wave acquisition module detects and acquires the pulse wave waveforms of the multi-segment blood vessel detection part to acquire the pulse wave waveforms of a plurality of segments. The pulse wave waveform map contains the complete ABCDE waveform constellation information. The sampling frequency of the pulse wave is 1000 HZ;
C. a pulse wave velocity determination module of the measuring instrument is adopted to calculate and analyze a Pulse Wave Velocity (PWV) parameter. The pulse wave velocity measuring module analyzes and calculates the acquired electrocardiogram waveform and the pulse wave waveforms acquired from a plurality of measuring points (such as the positions of the front forehead, the left and right earlobes, the left and right index fingers and the left and right foot index fingers), and calculates pulse wave conduction velocity (PWV) parameters from the heart to the forehead, the heart to the earlobes, the heart to the fingers and the heart to the toes, wherein the PWV parameters are used as evaluation indexes of the peripheral arterial vascular elasticity.
And (C) acquiring the I leading electrocardiogram waveform in the step (A), and detecting and analyzing according to the following method:
a1, connecting a left electrode plate A and a right electrode plate of an electrocardiogram lead wire by using an electrocardiogram information acquisition module, connecting a left electrode plate A with a detected left hand, connecting a right electrode plate B with a detected right hand, acquiring an I lead electrocardiogram waveform, and continuously acquiring an electrocardiogram waveform with the duration of 1 minute, wherein the waveform of each electrocardiogram period comprises P-QRS-T electrocardiogram characteristic points, and the sampling frequency is 1000 HZ;
a2, utilizing an electrocardiogram information analysis module and utilizing an electrocardiogram waveform characteristic point identification algorithm to determine R wave characteristic points of an electrocardiogram waveform, wherein the time corresponding to each R wave characteristic point is defined as the initial time of generating pulse waves through ventricular contraction. The electrocardiosignal analysis module comprises an A/D conversion circuit, a signal amplification circuit, a filter circuit and an electrocardiosignal waveform characteristic point identification module.
And (C) acquiring the volume pulse wave waveform of the peripheral segment blood vessel in the step (B), and detecting and analyzing according to the following method:
and B1, controlling the photoelectric volume pulse wave sensors of 7 or more channels by using the pulse wave acquisition module. The photoelectric volume pulse wave sensor adopts a projection type and a reflection type. The photoelectric volume pulse wave sensors are connected with the finger part, the toe part, the earlobe part, the forehead part and other parts of the detected person. Acquiring the pulse waveform of the detected part by using a pulse wave acquisition module, and acquiring the pulse wave waveform with the duration of 1 minute;
and B2, analyzing ABCDE pulse wave characteristic points of the waveform of each pulse wave period by using a pulse wave signal analysis module and a pulse wave waveform characteristic recognition algorithm, and determining A wave characteristic points of the pulse waves, wherein the time corresponding to each A wave characteristic is defined as the end time of the pulse wave conduction to the measured part. The pulse wave signal analysis module comprises a signal amplification circuit, a filter circuit, an A/D conversion circuit and a pulse wave signal waveform characteristic point identification module.
For step C multi-segmented arterial Pulse Wave Velocity (PWV) measurements, the following method was followed for examination and analysis:
c1, synchronously controlling the electrocardiosignal acquisition module and the pulse wave acquisition module by adopting the electrocardiosignal and pulse wave signal acquisition control module, and realizing synchronous and continuous monitoring of I-lead electrocardio waveforms and multi-segment pulse wave waveforms;
c2 adopting electrocardiosignal characteristic point R wave time parameterT ECG Determining algorithm for identifying time parameter of electrocardio waveform R waveT ECG-R ；
C3 adopting the time parameter of the pulse wave characteristic point A waveT PPG Determining algorithm for identifying time parameter of pulse wave AT PPG-A ；
C4, using a pulse wave transit time determination module to determine the pulse wave transit time (C)hnPTT) The measurement formula analyzes the detected electrocardiographic waveform and pulse wave waveform synchronously, analyzes the electrocardiographic waveform R wave and obtains the conduction time of the pulse wave waveform A wave of a plurality of measurement points (such as the positions of the front forehead, the left and right earlobes, the index fingers of the left and right hands and the index fingers of the left and right feet)hnPTT[i]；
Pulse Transit Time (PTT) measurement formula:
wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,T[i] ECG-R representing the time parameter of the electrocardiographic waveform R wave at the moment of monocycle i,T[i] PPG-A representing a single-period i moment pulse wave waveform A wave time parameter;
c5 determining the pulse wave velocity of single cardiac cycle, and calculating the formula (hnPWV) Calculating the pulse wave velocity from the heart to the pulse wave measuring point in a single cardiac cyclehnPWV[i]；
Pulse wave velocity (hnPWV) Calculating the formula:
wherein the content of the first and second substances,hwhich represents the starting point of the heart,nindicating pulseThe point of measurement of the wave is determined,iwhich represents the single period of the signal i,L hn the length of the blood vessel from the heart to the pulse wave measuring point is calculated according to the formula of the length of the blood vesselL hn Obtaining; calculating Pulse Wave Velocity (PWV) parameters from heart to forehead, heart to earlobe, heart to finger, and heart to toe by using pulse wave velocity formula PWVhnPWV[i]；
Formula of blood vessel lengthL hn ：
Wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,f hn representing a function for analyzing and calculating the length of the segment artery by using height parameters, wherein H represents the height;
c6, measuring the pulse wave velocity of the detected period, calculating the average PWV of the pulse wave velocity from the heart to the pulse wave measuring point of the measured period by using the periodic pulse wave measuring formula, and using the PWV parameters as the evaluation index of the peripheral arterial vascular elasticity function, the pulse wave velocity: (hnPWV) Calculating the formula:
wherein the content of the first and second substances,hnPWVrepresenting heart measurement pointshTo the measuring pointnThe velocity of the conduction of the segmental pulse waves,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,Nrepresenting N single cycles.
In order to achieve another object of the present invention, the present invention further provides a non-invasive multi-segment peripheral arterial vessel elasticity function detecting apparatus, which comprises the following detecting modules:
A. the electrocardiogram information acquisition module is used for acquiring the I-th lead electrocardiogram oscillogram;
B. the pulse wave information acquisition module is used for acquiring a peripheral multi-segment pulse wave oscillogram, and the multi-segment pulse wave comprises multi-segment pulse waves of a front forehead part, a left ear lobe part, a right ear lobe part, a left index finger part, a right index finger part and the like;
C. the Pulse Wave Velocity (PWV) measuring module is used for analyzing and measuring the multi-segment Pulse Wave Velocity (PWV), analyzing and calculating an electrocardiogram waveform, acquiring the pulse wave waveforms of a plurality of measuring points (such as the positions of the front forehead, the left and right earlobes, the left and right index fingers, the left and right foot index fingers) of a plurality of segments, and calculating the Pulse Wave Velocity (PWV) parameters from the heart to the forehead, the heart to the earlobes, the heart to the fingers and the heart to the toes.
According to the detection device, the electrocardiogram information acquisition module A comprises:
a1, I lead electrocardiosignal acquisition lead wire, used for connecting the left and right wrists of human body and acquiring limb I lead electrocardiosignal;
a2, an electrocardiosignal analysis module, which is used for analyzing the electrocardio waveform, identifying the characteristic points of the electrocardio waveform and determining the R wave characteristic points of the electrocardio waveform; the electrocardiosignal analysis module comprises an A/D conversion circuit, a signal amplification circuit, a filter circuit and an electrocardiosignal waveform characteristic point identification module.
According to the detection device, the pulse wave information acquisition module B comprises:
b1, multiple pulse wave coupling sensors for connecting and measuring multi-segment pulse wave measuring points and detecting pulse wave signals;
b2, a pulse wave signal analysis module for analyzing the pulse wave waveform, identifying the pulse wave characteristic points and determining the A wave characteristic points of the pulse wave waveform; the pulse wave analysis module comprises an A/D conversion circuit, a signal amplification circuit, a filter circuit and a pulse wave signal waveform characteristic point identification module.
According to said detection device, said Pulse Wave Velocity (PWV) measurement module C comprises:
c1, an electrocardiosignal and pulse wave signal acquisition control module, which is used for controlling the acquisition of the electrocardiosignal information acquisition module and the pulse wave acquisition module and can realize the synchronous and continuous detection of I-lead electrocardio waveforms and multi-segment pulse wave waveforms;
c2, an electrocardiosignal characteristic point R wave time parameter t determination module for analyzing the collected electrocardiosignals and determining the R wave time parameter by an electrocardiosignal time parameter determination algorithmT ECG-R ；
C3, a pulse wave characteristic point A wave time parameter t determination module for analyzing the acquired pulse wave signal and determining A wave time parameter by using an electrocardiosignal time parameter determination algorithmT PPG-A ；
C4, pulse wave propagation time measuring module for measuring the propagation time of pulse wave from heart to peripheral blood vesselhnPTT，
C5, single heart cycle pulse wave velocity measuring module for measuring the pulse wave velocity from heart to pulse wave measuring pointhnPWV[i]；
C6, determining the pulse wave velocity of the period, analyzing and determining the pulse wave velocity from the heart to the pulse wave determining point of a detection periodhnPWV。
The detection system is characterized in that: the electrocardiosignal is detected as a pulse wave conduction starting point, the multi-segment pulse wave detection system realizes the detection of the pulse waves of a plurality of segments by using a photoelectric volume pulse wave measurement method, the measurement period of the multi-segment peripheral arterial vessel elasticity function detection system can be set and adjusted, the pulse wave conduction speeds of a plurality of segments can be realized, and the whole body peripheral vessel elasticity function can be indirectly evaluated.
The invention realizes the clinical effects as follows:
can be used for accurately evaluating the elastic function of the peripheral blood vessels by non-invasive and multiple detections. And the synchronous simultaneous control module is utilized to adjust the electrocardiosignals and the pulse wave signals of a plurality of segments, so as to realize the synchronous determination of the conduction velocity of the pulse waves of the plurality of segments. The electrocardiosignal R wave is used as an initial time point for sending the pulse wave, so that the accurate measurement of the pulse wave speed is realized. The measurement precision of the final pulse wave conduction velocity is more accurate by utilizing the photoelectric volume pulse wave measurement mode to measure under the normal physiological state.
The invention realizes the measurement of the pulse wave velocities of a plurality of segments, has simple operation and convenient measurement, can repeatedly measure for a plurality of times and is very suitable for the evaluation of early cardiovascular diseases.
Drawings
FIG. 1 is a schematic diagram of a method for determining pulse wave velocity based on a pressure sensor;
FIG. 2 is a schematic diagram of a pulse wave velocity method based on blood pressure cuff measurements;
FIG. 3 is a schematic diagram of a photoplethysmography sensor;
FIG. 4 is a schematic diagram of a pulse wave velocity method using photoplethysmography;
FIG. 5 is a flowchart of a method for non-invasive multi-segmented peripheral arterial vessel elastography detection according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an ECG signal waveform provided by an embodiment of the present invention;
FIG. 7 is a schematic diagram of a pulse waveform according to an embodiment of the present invention;
FIG. 8 is a schematic diagram illustrating a non-invasive multi-segmented peripheral arterial vessel elastography function detection system according to an embodiment of the present invention;
FIG. 9 is a schematic diagram illustrating the components of the non-invasive multi-segmented peripheral arterial vessel elastography function detection system according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a non-invasive multi-segment peripheral arterial vessel elasticity function detecting instrument according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 5, in one embodiment of the present invention, a non-invasive multi-segment peripheral arterial vessel elasticity function determination is provided as follows.
Step S501: detecting an I-th lead electrocardiogram oscillogram of a detected person by using an electrocardiogram information acquisition module;
in the embodiment of the invention, the I-th electrocardiographic information is obtained by connecting the electrocardiographic electrode slice with the left hand and the right hand of a human body, and the sampling frequency of an electrocardiographic oscillogram is 1000 HZ. The waveform of each electrocardiographic cycle of the acquired electrocardiographic waveform information contains P-QRS-T electrocardiographic wave characteristic points. The schematic diagram of the electrocardiographic signal waveform is shown in fig. 6, R-wave feature points of the electrocardiographic waveform are determined by using an electrocardiographic waveform feature point identification algorithm, and the time corresponding to each R-wave feature point is defined as the initial time of generating a pulse wave through ventricular contraction. The time parameter t of the electrocardiosignal characteristic point R wave is measured asT ECG-R And is determined as the initial time point of pulse wave conduction.
Step S502: detecting peripheral multi-section pulse wave waveforms by using a pulse wave acquisition module;
in the embodiment of the invention, the pulse wave sensor is a transmission type photoelectric volume pulse wave sensor or a reflection type photoelectric volume pulse wave sensor. The detection parts of the multiple segmental blood vessels comprise a front forehead part, a left ear lobe part, a right ear lobe part, a left index finger part, a right index finger part, a left index finger part and a right index finger part. The pulse wave acquisition module detects and acquires the pulse wave waveforms of the multi-segment blood vessel detection part to acquire the pulse wave waveforms of a plurality of segments. The pulse wave waveform map contains the complete ABCDE waveform constellation information. The sampling frequency of the pulse wave is 1000 HZ. FIG. 7 is a schematic diagram of a pulse wave waveform, which is obtained by analyzing ABCDE pulse wave feature points of the waveform of each pulse wave period and determining A wave feature points of the pulse wave by using a pulse wave feature recognition algorithm, wherein the time corresponding to each A wave feature is defined as an endpoint time point when the pulse wave is conducted to a measurement site, and an A wave time parameter t of the pulse wave feature points is measured asT PPG-A And determining the time point of the end point of the pulse wave conduction time.
Step S503: calculating and analyzing a Pulse Wave Velocity (PWV) parameter by adopting a pulse wave velocity determination module of the measuring instrument;
in the embodiment of the invention, the pulse wave velocity measuring module analyzes and calculates the acquired electrocardiogram waveform and the pulse wave waveforms acquired from a plurality of measuring points (such as the positions of the front forehead, the left and right earlobes, the left and right index fingers and the left and right index fingers), and calculates the pulse wave conduction velocity (PWV) parameters from the heart to the forehead, the heart to the earlobes, the heart to the fingers and the heart to the toes, and the PWV parameters are used as the evaluation indexes of the peripheral artery vascular elasticity.
The schematic composition of the system of the present invention is shown in fig. 8. There is provided a non-invasive multi-segmented peripheral arterial vessel elasticity function determination system 800 comprising:
1. the electrocardiogram information acquisition module 810 is used for acquiring the I-th electrocardiogram of the human body;
2. the pulse wave information collecting module 820 is used for collecting a multi-segment pulse wave oscillogram at the periphery of a human body. The multi-segment pulse waveform comprises a front forehead part, a left ear lobe measuring part, a right ear lobe part, a left index finger part, a right index finger part, a left foot index finger part, a right foot index finger part and the like;
3. a Pulse Wave Velocity (PWV) measurement module 830 for analyzing and determining a multi-segment Pulse Wave Velocity (PWV). Analyzing and calculating an electrocardiogram waveform and acquiring pulse wave waveforms of a plurality of measuring points (such as the positions of the forehead, the left and right earlobes, the index fingers of the left and right hands and the index fingers of the left and right feet) of multiple segments, and calculating Pulse Wave Velocity (PWV) parameters from heart to forehead, from heart to earlobe, from heart to finger and from heart to toe.
In the embodiment, in order to obtain an accurate pulse wave velocity measurement result, a Pulse Wave Velocity (PWV) measurement module sends a control command for acquiring electrocardio information and pulse wave information to realize synchronous acquisition of electrocardio signals and pulse wave signals; the electrocardio information acquisition is to connect the left hand and the right hand of a human body through an I-th electrocardio lead wire electrocardioelectrode and obtain electrocardio information P-QRS-T waveform information by utilizing an electrocardio acquisition module; the pulse wave information acquisition is that a plurality of photoelectric volume pulse wave sensors are connected with a plurality of pulse wave measuring points (such as the positions of the forehead, the left and right earlobes, the index fingers of the left and right hands and the index fingers of the left and right feet of a human body) of the human body, and a pulse wave information acquisition module is utilized to obtain multi-segment pulse wave waveform information; analyzing the electrocardio information waveform and the pulse wave information waveforms of a plurality of segments by a Pulse Wave Velocity (PWV) measuring module, obtaining the pulse wave conduction time (PPT) of the pulse waves from the heart to a measuring point, and calculating the Pulse Wave Velocity (PWV) of the pulse waves of the plurality of segments from the heart to the measuring point. Therefore, the embodiment provides a non-invasive multi-segment peripheral arterial vessel elasticity function measuring system, which calculates and measures the pulse wave conduction velocity (PWV) which is a key parameter for measuring and evaluating the vessel elasticity function by utilizing the synchronous analysis of the electrocardio information and the pulse wave information, can realize non-invasive and multiple detections, and can accurately evaluate the peripheral vessel elasticity function.
Referring to fig. 9, in an embodiment of the present invention, the electrocardiograph information acquiring module 810 includes:
1. an I lead electrocardiosignal acquisition lead wire module 811, wherein the lead wires are connected with the left wrist and the right wrist of the human body through electrocardio electrode plates to acquire an I lead electrocardiosignal of the limb;
2. and the electrocardiosignal analysis module 812 is used for analyzing the electrocardio waveform, identifying the characteristic points of the electrocardio waveform and determining the R wave characteristic points of the electrocardio waveform.
In this embodiment, the electrocardiosignal analyzing module 812 includes sub-modules such as a signal amplifying and filtering circuit, an a/D conversion circuit, and an electrocardiosignal waveform feature point identification; the specific analysis process is as follows:
1. and a signal amplifying and filtering circuit. Because the electrocardio information collected by the electrocardio lead wire is very small, and the obtained signals also comprise interference signals of the system, the signals are amplified and filtered. The signal processing process comprises three processes of primary first-order low-pass filtering amplification, secondary low-pass filtering and tertiary high-pass filtering amplification;
an A/D conversion circuit. The digital signal acquisition of the electrocardio information adopts an A/D conversion circuit for acquisition, digital electrocardio information conversion is carried out through an analog-to-digital conversion chip, the converted digital information is transmitted to a ROM storage of a single chip Microcomputer (MCU), and the single chip microcomputer transmits the acquired digital signal to a computer through a USB transmission module. The acquisition process of the A/D conversion circuit comprises the following steps: a single chip Microcomputer (MCU) controls three modules of data acquisition, data transmission and real-time control of the acquisition process;
3. and (5) identifying and analyzing the characteristic points of the electrocardiosignal waveform. The electrocardiosignal waveform characteristic point identification and analysis module is used for analyzing electrocardio digital signals acquired by the A/D conversion telephone, and the detection of QRS waves in the electrocardiosignals is the analysis basis of electrocardiosignal identification. Therefore, the QRS waveform characteristic points of the electrocardio information need to be accurately detected and analyzed.
In the embodiment, waveform feature point identification of the electrocardiosignals adopts Mexican-hat wavelet transform to carry out waveform feature analysis. The electrocardiosignal waveform characteristic point identification and analysis steps are as follows:
the method comprises the following steps: reading in electrocardio digital signals, and performing Mexican-hat continuous wavelet transform on the electrocardio signals;
step two: and (5) detecting the R wave. Selecting a wavelet transformation scale 5 as a detection scale of R wave characteristics, and determining a signal threshold value E by taking 5 seconds as a section; detecting the data points on the scale 5, and determining the mode maximum value point which is greater than the threshold E as the peak point of the R wave; analyzing missing R wave, detecting all possible R wave peak points and calculating average RR intervalNT RR Judging the adjacent two RR wave peak pointsT RR To the average RR intervalNT RR If, ifT RR Greater than 1.5 timesNT RR If the detection is missed, the threshold value is halved, and the detection is carried out again in the missed detection area;
step three: and detecting Q waves and S waves. Q wave is located before R wave, S wave is located after R wave, Q wave and S wave are downward waves, points corresponding to minimum values are searched leftwards and rightwards after R wave in a time window of 50ms, the point on the left minimum value is located with Q wave, and the right minimum value is S wave;
step four: and detecting P waves and T waves. Selecting a wavelet transformation scale 10 as a detection scale of characteristics of P waves and T waves, wherein a T wave peak corresponds to a mode maximum value point on the scale 10, and searching the mode maximum value point at an RR interval with a time window on the right side of an S wave terminal point being 0.4 times, and the mode maximum value point is the T wave peak point. And searching the maximum value point of the model of the RR interval with the time window of 0.25 times on the left side of the Q wave starting point on the scale 10 for the P wave peak point, wherein the maximum value point is the P wave peak point.
Referring to fig. 9, in an embodiment of the present invention, the pulse wave information collecting module 820 includes:
1. a plurality of pulse wave coupling sensors 821 for connecting and measuring multi-segment pulse wave measuring points and measuring pulse wave waveform signals at the forehead, left and right earlobes, index fingers of left and right hands and index fingers of left and right feet;
2. and the pulse wave signal analysis module 822 is used for analyzing the pulse wave waveform, identifying the pulse wave characteristic points and determining the A wave characteristic points of the pulse wave waveform.
In this embodiment, the pulse wave signal analyzing module 822 includes a signal amplifying and filtering circuit, an a/D conversion circuit, and a pulse wave signal waveform feature point identifying module; the specific analysis process is as follows:
1. and a signal amplifying and filtering circuit. Because the pulse wave signals acquired by the photoplethysmography pulse waves are very small and the acquired signals also comprise interference signals of the system, the signals are amplified and filtered. The signal processing process comprises three processes of primary first-order low-pass filtering amplification, secondary low-pass filtering and tertiary high-pass filtering amplification;
an A/D conversion circuit. The digital signal collection of multi-section pulse wave signal adopts the AD converting circuit of multichannel to gather, and photoelectric volume pulse wave (PPG) carries out pulse wave number digital information conversion through the analog-to-digital conversion chip, and singlechip (MCU) ROM storage is given in digital information transmission after the conversion, and the singlechip passes through USB transmission module with the digital signal who gathers, transmits for the computer. The acquisition process of the A/D conversion circuit comprises the following steps: a single chip Microcomputer (MCU) controls three modules of data acquisition, data transmission and real-time control of the acquisition process;
3. and (5) identifying and analyzing the pulse wave signal waveform characteristic points. And the pulse wave signal waveform characteristic point analysis module is used for analyzing the pulse wave signals after A/D conversion, and the detection of the B wave in the photoplethysmography pulse wave signals is the analysis basis of pulse wave signal identification. Therefore, B-waveform feature points of pulse wave information need to be accurately detected and analyzed. Because the pulse wave signal and the electrocardio signal are both human physiological parameters and the composition of waveforms, the pulse wave signal and the electrocardio signal have great similarity and are all a whole body consisting of different amplitudes, the waveform characteristic point identification method of the photoelectric volume pulse wave also adopts wavelet transformation to carry out waveform characteristic analysis.
In this embodiment, the photoplethysmography waveform feature point identification and analysis steps are as follows:
the method comprises the following steps: reading in photoelectric volume pulse wave digital signals, and performing continuous wavelet transformation on the photoelectric volume pulse wave digital signals;
step two: and B wave detection. Selecting a wavelet transformation scale 5 as a detection scale of B-wave characteristics, and determining a signal threshold value E by taking 5 seconds as a section; detecting the data points on the scale 5, and determining the mode maximum value point which is greater than the threshold E as the peak point of the B wave; missing B-wave analysis, detecting all possible B-wave peak points and calculating average BB intervalNT BB Judging two adjacent BB wave peak pointsT BB To the average RR intervalNT BB If, ifT BB Greater than 1.5 timesNT BB If the detection is missed, the threshold value is halved, and the detection is carried out again in the missed detection area;
step three: and (4) detecting the A wave. The A wave precedes the B wave and is an extreme value in the pulse wave. Carrying out primary differential processing on the pulse wave, finding a zero crossing point from the B wave to the left, and taking the corresponding position as the A wave;
step four: and C wave and D wave detection. The C-wave and D-wave are inflection points in the pulse wave. Performing second-order differential processing on the pulse wave, finding two zero-crossing points to the right at the reference point C, wherein the corresponding pulse wave characteristic points are C wave and D wave;
step five: and E wave detection. And performing primary differential processing on the pulse waves, and finding a maximum value interval backwards from the C wave point, wherein zero-crossing points E and F around the maximum value.
Referring to fig. 9, in an embodiment of the present invention, the Pulse Wave Velocity (PWV) measuring module 830 includes:
1. an electrocardiosignal and pulse wave signal acquisition control module 831. The module mainly realizes synchronous control of the electrocardio information acquisition module and the pulse wave acquisition module, sends out acquisition and stop commands and finally realizes synchronous and continuous monitoring of I-lead electrocardio waveforms and multi-segment pulse wave waveforms; the synchronous continuous monitoring of the I-lead electrocardiographic waveform and the pulse wave waveform of the user-defined segment can be realized;
2. and an electrocardiosignal characteristic point R wave time parameter t measuring module 832. Acquiring time parameters of R waves of the electrocardio waveform characteristic points according to the identification condition of the electrocardio signal waveform characteristic pointsT ECG-R. ；
3. And a pulse wave characteristic point A wave time parameter t measuring module 833. Acquiring the time parameter of photoelectric pulse wave A wave according to the identification condition of the waveform feature points of the photoelectric volume pulse waveT PPG-A ；
4. A pulse transit time determination module 834;
according to the pulse wave transit time (hnPTT) The determination formula is as follows:
wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,T[i] ECG-R representing the time parameter of the electrocardiographic waveform R wave at the moment of monocycle i,T[i] PPG-A representing a single-period i moment pulse wave waveform A wave time parameter;
synchronously analyzing the detected electrocardiographic waveform and pulse wave waveform to analyze the electrocardiographic waveform R wave and obtain the conduction time of the pulse wave waveform A wave of a plurality of measuring points (such as the positions of the front forehead, the left and right earlobes, the left and right index fingers and the left and right index fingers)hnPTT[i]；
5. The single cardiac cycle pulse wave velocity measuring module 835 calculates the pulse wave velocity from the heart to the pulse wave measuring point in the single cardiac cyclehnPWV[i]；
Using the formula for calculating the velocity of pulse wave (hnPWV）：
Wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,L hn the length of the blood vessel from the heart to the pulse wave measuring point is calculated according to the formula of the length of the blood vesselL hn Thus obtaining the product. Calculating Pulse Wave Velocity (PWV) parameters from heart to forehead, heart to earlobe, heart to finger, and heart to toe by using pulse wave velocity formula PWVhnPWV[i]；
Formula of blood vessel lengthL hn ：
Wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,F hn representing a function that uses the height parameters to further analyze and calculate the segment artery length,Hrepresents height;
6. a measurement period pulse wave velocity measurement module 836 for measuring the measurement period pulse wave velocity;
using the periodic pulse wave determination formula:
wherein the content of the first and second substances,hnPWVrepresenting heart measurement pointshTo the measuring pointnThe velocity of the conduction of the segmental pulse waves,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,Nrepresenting N cycles;
the mean value of the pulse wave velocity PWV from the heart to the pulse wave measurement point in the measurement period is calculated, and these PWV parameters are used as the evaluation index of the peripheral arterial vascular elasticity function.
Referring to fig. 10, in the embodiment of the present invention, the non-invasive multi-segmented peripheral arterial vessel elasticity function detecting apparatus comprises: the device comprises a collection box 101, an electrocardio-lead wire 103, a plurality of photoplethysmography sensors (1041-1047) and a computer 102 (PC). The electrocardio lead wire and the photoelectric volume pulse wave sensors are connected with a collection box, and the collection box is connected with a computer (PC). The electrocardio-lead wire is connected with the left hand and the right hand of a human body through two electrocardio electrodes to detect I-th lead electrocardio-information, a plurality of photoelectric volume pulse wave sensors are connected with peripheral blood vessel pulse wave measuring points of the human body (such as the front forehead, the left earlobe, the right earlobe, the left hand, the right hand, the left foot and the right foot and the index finger positions), the electrocardio-information and the pulse wave information collected by the collecting box are transmitted to a computer (PC) multi-section peripheral artery blood vessel elastic function analysis software, the analysis software analyzes and processes the detected data to obtain pulse wave conduction velocity (PWV) indexes of peripheral blood vessels of a plurality of sections, and the electrocardio-lead wire can be used for indirectly evaluating.
Therefore, the multi-segment peripheral arterial vessel elasticity function detection method provided by the invention can be used for carrying out non-invasive monitoring on the arterial elasticity function of the peripheral vessel, conveniently and simply evaluating the vascular elasticity function of the peripheral vessel, indirectly evaluating the cardiovascular disease incidence rate based on the vascular elasticity function, and having important significance in monitoring the early cardiovascular event incidence rate.
In summary, the invention monitors the I-th lead electrocardiogram information, monitors the photoplethysmogram waves of a plurality of segments at the periphery, takes the electrocardiogram signals as the initial point of the conduction of the pulse waves from the ventricle, takes the photoplethysmogram waves as the terminal point of the conduction of the peripheral blood vessel pulse waves as the measurement basis, and ensures the accurate measurement of the peripheral blood vessel artery pulse wave velocity. Based on the measurement of a plurality of segments, the assessment of the blood vessel function of the peripheral blood vessel system of the whole body is perfected, and the comprehensive assessment of the elastic function of the artery and the blood vessel of the peripheral blood vessel is ensured. Based on the photoelectric volume pulse wave measuring mode, the measurement is carried out in a normal physiological state, and the measurement accuracy of the pulse wave conduction velocity is ensured to be more accurate finally. The invention realizes the measurement of the pulse wave velocity of a plurality of segments, has simple operation and convenient measurement, can repeatedly measure for a plurality of times and is very suitable for the evaluation of early cardiovascular diseases.
While the foregoing is directed to the preferred embodiment of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Claims (9)
1. A non-invasive multi-segment peripheral arterial vessel elasticity function detection method is characterized by comprising the following steps:
A. detecting an I-th lead electrocardiogram oscillogram of a detected person by adopting an electrocardiogram information acquisition module of a measuring instrument;
B. detecting peripheral multi-section pulse wave waveforms by adopting a pulse wave acquisition module of a measuring instrument; the pulse wave sensor is a transmission type photoelectric volume pulse wave sensor or a reflection type photoelectric volume pulse wave sensor; the system controls a pulse wave sensor to detect the volume pulse wave waveform of peripheral segment blood vessels of a detected person, and detection parts of multi-segment blood vessels comprise a front forehead part, a left ear lobe measuring part, a right ear lobe part, a left index finger part, a right index finger part, a left foot index finger part and a right foot index finger part;
C. calculating and analyzing a Pulse Wave Velocity (PWV) parameter by adopting a pulse wave velocity determination module of the measuring instrument; the pulse wave velocity measuring module analyzes and calculates the acquired electrocardiogram waveform and the pulse wave waveforms acquired from a plurality of measuring points (such as the positions of the front forehead, the left and right earlobes, the left and right index fingers and the left and right foot index fingers), and calculates pulse wave conduction velocity (PWV) parameters from the heart to the forehead, the heart to the earlobes, the heart to the fingers and the heart to the toes, wherein the PWV parameters are used as evaluation indexes of the peripheral arterial vascular elasticity.
2. The method of claim 1, wherein step a comprises the following steps:
a1, connecting left and right electrode plates of an electrocardiogram lead wire by using an electrocardiogram information acquisition module, connecting a left electrode plate A with a detected left hand, connecting a right flashlight electrode plate B with a detected right hand, acquiring an electrocardiogram waveform of the lead I, and continuously acquiring the electrocardiogram waveform with the duration of 1 minute;
a2, determining R wave characteristic points of an electrocardiogram waveform by using an electrocardiogram waveform characteristic point identification algorithm through an electrocardiogram information analysis module, wherein the time corresponding to each R wave characteristic point is defined as the initial time of generating a pulse wave through ventricular contraction; the electrocardiosignal analysis module comprises an A/D conversion circuit, a signal amplification circuit, a filter circuit and an electrocardiosignal waveform characteristic point identification module.
3. The method of claim 1, wherein step B comprises detecting and analyzing by:
b1, controlling the photoelectric volume pulse wave sensors of 7 or more channels by using a pulse wave acquisition module; the photoelectric volume pulse wave sensor adopts a projection type and a reflection type; acquiring the pulse waveform of the detected part by using a pulse wave acquisition module, and acquiring the pulse wave waveform with the duration of 1 minute;
b2, analyzing ABCDE pulse wave characteristic points of the waveform of each pulse wave period by using a pulse wave signal analysis module and a pulse wave waveform characteristic recognition algorithm, and determining A wave characteristic points of the pulse waves, wherein the time corresponding to each A wave characteristic is defined as the end time of the pulse wave conduction to the measured part; the pulse wave signal analysis module comprises a signal amplification circuit, a filter circuit, an A/D conversion circuit and a pulse wave signal waveform characteristic point identification module.
4. The method of claim 1, wherein step C comprises detecting and analyzing by:
c1, synchronously controlling the electrocardiosignal acquisition module and the pulse wave acquisition module by adopting the electrocardiosignal and pulse wave signal acquisition control module, and realizing synchronous and continuous monitoring of I-lead electrocardio waveforms and multi-segment pulse wave waveforms;
c2 adopting electrocardiosignal characteristic point R wave time parameterT ECG Determining algorithm for identifying time parameter of electrocardio waveform R waveT ECG-R ；
C3 adopting the time parameter of the pulse wave characteristic point A waveT PPG Determining algorithm for identifying time parameter of pulse wave AT PPG-A ；
C4, using a pulse wave transit time determination module to determine the pulse wave transit time (C)hnPTT) The measurement formula analyzes the detected electrocardiographic waveform and pulse wave waveform synchronously, analyzes the electrocardiographic waveform R wave and obtains the conduction time of the pulse wave waveform A wave of a plurality of measurement points (such as the positions of the front forehead, the left and right earlobes, the index fingers of the left and right hands and the index fingers of the left and right feet)hnPTT[i]；
Pulse Transit Time (PTT) measurement formula:
hnPTT[i]=T[i]ECG-R- T[i]PPG-A；
wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,T[i] ECG-R representing the time parameter of the electrocardiographic waveform R wave at the moment of monocycle i,T[i] PPG-A representing a single-period i moment pulse wave waveform A wave time parameter;
c5 determining the pulse wave velocity of single cardiac cycle, and calculating the formula (hnPWV) Calculating the pulse wave velocity from the heart to the pulse wave measuring point in a single cardiac cyclehnPWV[i]；
Pulse wave velocity (hnPWV) Calculating the formula:
wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,L hn the length of the blood vessel from the heart to the pulse wave measuring point is calculated according to the formula of the length of the blood vesselL hn Obtaining; calculating Pulse Wave Velocity (PWV) parameters from heart to forehead, heart to earlobe, heart to finger, and heart to toe by using pulse wave velocity formula PWVhnPWV[i]；
Formula of blood vessel lengthL hn ：
Lhn=Fhn(H)；
Wherein the content of the first and second substances,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,F hn representing a function that uses the height parameters to further analyze and calculate the segment artery length,h represents height;
c6, measuring the pulse wave conduction velocity of the detection period, and calculating the average value of the pulse wave velocity PWV from the heart to the pulse wave measurement point of the measurement period by using a period pulse wave measurement formula, wherein the PWV parameters are used as evaluation indexes of the peripheral arterial vessel elastic function;
wherein the content of the first and second substances,hnPWVrepresenting heart measurement pointshTo the measuring pointnThe velocity of the conduction of the segmental pulse waves,hwhich represents the starting point of the heart,nthe pulse wave measurement point is shown as a point,iwhich represents the single period of the signal i,Nrepresenting N cycles.
5. A noninvasive multi-segment peripheral arterial vessel elastic function detecting instrument is characterized by comprising the following steps:
the electrocardiogram information acquisition module is used for acquiring the I-th lead electrocardiogram oscillogram;
the pulse wave information acquisition module is used for acquiring a peripheral multi-segment pulse wave oscillogram;
a Pulse Wave Velocity (PWV) measurement module for analyzing and determining a multi-segment PWV; analyzing and calculating an electrocardiogram waveform and acquiring pulse wave waveforms of a plurality of measuring points (such as the positions of the forehead, the left and right earlobes, the index fingers of the left and right hands and the index fingers of the left and right feet) of multiple segments, and calculating Pulse Wave Velocity (PWV) parameters from heart to forehead, from heart to earlobe, from heart to finger and from heart to toe.
6. The method of claim 5, wherein the cardiac electrical information acquisition module comprises:
the first I-lead electrocardiosignal acquisition lead wire is used for connecting the left wrist and the right wrist of a human body and acquiring limb I-lead electrocardiosignals;
the electrocardiosignal analysis module is used for analyzing the electrocardio waveform, identifying the electrocardio waveform characteristic points and determining R wave characteristic points of the electrocardio waveform; the electrocardiosignal analysis module comprises an A/D conversion circuit, a signal amplification circuit, a filter circuit and an electrocardiosignal waveform characteristic point identification module.
7. The method of claim 5, wherein the pulse wave information acquisition module comprises:
the pulse wave coupling sensors are used for connecting and measuring multi-segment pulse wave measuring points and detecting pulse wave signals;
the pulse wave signal analysis module is used for analyzing the pulse wave waveform, identifying the pulse wave characteristic points and determining the A wave characteristic points of the pulse wave waveform; the pulse wave analysis module comprises an A/D conversion circuit, a signal amplification circuit, a filter circuit and a pulse wave signal waveform characteristic point identification module.
8. The method of claim 5, wherein the Pulse Wave Velocity (PWV) measurement module comprises:
the electrocardiosignal and pulse wave signal acquisition control module is used for controlling the acquisition of the electrocardiosignal information acquisition module and the pulse wave acquisition module and can realize the synchronous and continuous detection of I-lead electrocardio waveforms and multi-section pulse wave waveforms;
an electrocardiosignal characteristic point R wave time parameter t determination module for analyzing the collected electrocardiosignals and determining the R wave time parameter by utilizing an electrocardiosignal time parameter determination algorithmT ECG-R ；
A pulse wave characteristic point A wave time parameter t determination module for analyzing the acquired pulse wave signal and determining A wave time parameter by using an electrocardiosignal time parameter determination algorithmT PPG-A ；
A pulse wave conduction time measuring module for measuring the conduction time of the pulse wave from the heart to the peripheral blood vesselhnPTT，
Single cardiac cycle pulse wave velocity determinationModule for determining the pulse wave velocity from the heart to the pulse wave determination pointhnPWV[i]；
A measuring period pulse wave velocity measuring module for analyzing and measuring the pulse wave velocity from the heart to the pulse wave measuring point in a detection periodhnPWV。
9. The utility model provides a do not have multistage section peripheral artery blood vessel elasticity function detecting instrument of wound which characterized in that constitutes and includes:
the device comprises a collection box, an electrocardio-lead wire, a plurality of photoelectric volume pulse wave sensors and a computer (PC).
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