CN108742588A - A kind of pulse wave velocity detection method and device - Google Patents
A kind of pulse wave velocity detection method and device Download PDFInfo
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- CN108742588A CN108742588A CN201810325179.6A CN201810325179A CN108742588A CN 108742588 A CN108742588 A CN 108742588A CN 201810325179 A CN201810325179 A CN 201810325179A CN 108742588 A CN108742588 A CN 108742588A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0285—Measuring or recording phase velocity of blood waves
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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Abstract
The invention discloses a kind of pulse wave velocity detection method and device, are related to bio-medical technology field, including:The skin contact of electrocardioelectrode and the corresponding position of detected person is measured into electrocardiosignal by ECG detecting sensor;Binary channels pressure pulse wave sensor is respectively placed in skin surface at the left and right wrist radial artery of the detected person, measures the first pulse wave signal and the second pulse wave signal;By photoelectric sensor using the conventional method based on photoplethysmographic, photoplethysmographic signal is measured;Based on the electrocardiosignal, first pulse wave signal and the second pulse wave signal, the photoplethysmographic signal, the computational methods of pulse wave velocity are established;Solve the technical issues of detection device in the prior art is very difficult on clinical manipulation, and clinical measurement needs technology teacher after professional training to operate in the process, and relevant device involves great expense.
Description
Technical field
The present invention relates to the field of medical instrument technology more particularly to a kind of pulse wave velocity detection method and device.
Background technology
Chinese risk factors of cardiovascular diseases fashion trend is more apparent, especially aging of population and Development of China's Urbanization
Accelerate, results in cardiovascular disease incidence number and continue to increase.And pulse wave velocity (PWV) is a weight for weighing artery sclerosis
Index is wanted, Degree of arteriosclerosis is higher, and pulse wave conduction speed is bigger.
It is that artery sclerosis most authoritative in the world detects that the device of measurement pulse wave velocity is most representational at present
Goldstandard neck stock pulse wave conduction speed CF-PWV.In addition, CF-PWV is judgement Large artery elasticity, peripheral blood vessel elasticity does not exist
It measures within limit of consideration.
But present invention applicant has found that the above-mentioned prior art at least has following technology in the bright R&D process of this application for issue
Problem:Although the conduction of velocity of the neck femoral artery based on pressure pulse wave, which measures, has obtained clinical approval, grasped in clinic
It is very difficult on work, need technology teacher after professional training to operate during clinical measurement, and relevant device cost is high
It is expensive.
Invention content
An embodiment of the present invention provides a kind of pulse wave velocity detection method and devices, for solving inspection in the prior art
It is high to survey device difficulty on clinical manipulation, needs technology teacher after professional training to operate during clinical measurement, Er Qiexiang
The technical problem for closing equipment manufacturing cost costliness, realizing can be to mutually cardiovascular electrocardio, photoelectricity blood flow, pressure pulse wave in the same time
Set signalling comprehensive, calculate pulse wave conduction speed, the evaluation for clinical artery sclerosis provides a kind of skill of new means
Art effect.
On the one hand, to solve the above-mentioned problems, an embodiment of the present invention provides a kind of pulse wave velocity detection methods, including
Following steps:
Step 1: measuring the electrocardiosignal of detected person by ECG detecting sensor;
Step 2: using the method based on photoplethysmographic by photoelectric sensor, measures detected person's left hand and refer to
Photoplethysmographic signal at point or the photoplethysmographic signal at right hand finger tip;
Step 3: measuring the pressure pulse wave signal at detected person's left finesse radial artery by pressure pulse wave sensor
Or the pressure pulse wave signal at right finesse radial artery;
Step 4: according to the electrocardiosignal, the pulse wave signal and the photoplethysmographic signal, according to formula
(1) pulse wave velocity ν is acquired:
In formula (1),
α is the weighting coefficient of the pulse wave velocity of photoplethysmographic detection, and the value range of α is [0,1];
β is the weighting coefficient of pressure pulse wave velocity of wave, and the value range of β is [0,1];
S1To measure site along detected person's body surface to the length of detected person's cardiac position from photoelectric sensor;
S2For from pressure pulse wave sensor measurement site along detected person's body surface to the length of detected person's cardiac position;
ΔT1For the electrocardiosignal wave crest and the photoplethysmographic signal corresponding with the electrocardiosignal wave crest
The time difference of wave crest;
ΔT2For the electrocardiosignal wave crest and the pressure pulse wave signal wave crest corresponding with the electrocardiosignal wave crest
Time difference.
Further, pulse wave velocity detection method proposed by the present invention, wherein in step 4, the electrocardiosignal wave
The time difference △ T at peak and the photoplethysmographic signal wave crest corresponding with the electrocardiosignal wave crest1Computational methods be:
The peak time point that photoplethysmographic signal is obtained by the photoplethysmographic signal, calculates the peak time point
With the time difference of electrocardiosignal S wave inflection points.
In step 4, the electrocardiosignal wave crest and the pressure pulse wave signal wave corresponding with the electrocardiosignal wave crest
The time difference Δ T at peak2Computational methods be:The peak time of pressure pulse wave signal is obtained by the pressure pulse wave signal
Point calculates the time difference of the peak time point and electrocardiosignal S wave inflection points.
On the other hand, the present invention also provides a kind of pulse wave velocity detection device, which includes:ECG detecting senses
Device, pressure pulse wave sensor, photoelectric sensor, signal processing module and computer;The ECG detecting sensor is for adopting
Collect electrocardiosignal;The pressure pulse wave sensor is for acquiring pulse wave signal;The photoelectric sensor is for acquiring photoelectricity
Volume pulsation wave signal;The input terminal of the signal processing module is passed with the ECG detecting sensor, pressure pulse wave respectively
The output end connection of sensor, photoelectric sensor, receives the electrocardiosignal, the pulse wave signal and the photoelectricity volume pulsation
Wave signal;The input terminal of the computer is connect with the output end of the signal processing module, according to the signal processing module
Pulse wave velocity is calculated in the digital signal obtained after processing;Show the digital signal and pulse wave velocity simultaneously.
Further, pulse wave velocity detection device proposed by the present invention, wherein the ECG detecting sensor is threeway
Road ECG detecting sensor, the pressure pulse wave sensor are binary channels pressure pulse wave sensor;The signal processing mould
Block specifically includes:Triple channel electrocardio front end modulate circuit, triple channel electrocardio front end modulate circuit and the triple channel electrocardio
The output end of detection sensor connects;Photoelectricity, binary channels pulse wave front end modulate circuit, before the photoelectricity, binary channels pulse wave
End modulate circuit is connect with the output end of the binary channels pressure pulse wave sensor, the photoelectric sensor respectively;First ADC
The input terminal of module, first ADC module is connect with the output end of triple channel electrocardio front end modulate circuit, will be received
Analog signal be converted into digital signal and export;Second ADC module, the input terminal and the photoelectricity of second ADC module,
The output end of binary channels pulse wave front end modulate circuit connects, and the analog signal received is converted into digital signal and is exported;
Microcontroller, the input terminal of the microcontroller are connect with the output end of first ADC module and second ADC module, output
End is connect with the input terminal of the computer, is received the digital signal and is input to the computer;Power supply circuit, institute
State power supply circuit and triple channel electrocardio front end modulate circuit, the photoelectricity, binary channels pulse wave front end modulate circuit,
The microcontroller connection is triple channel electrocardio front end modulate circuit, the photoelectricity, binary channels pulse wave front end conditioning electricity
Road, the microcontroller provide electric power.
Compared with prior art, the beneficial effects of the invention are as follows:
(1) an embodiment of the present invention provides a kind of pulse wave velocity detection methods, by ECG detecting sensor, by electrocardio
The skin contact of the corresponding position of electrode and detected person, measures electrocardiosignal;Binary channels pressure pulse wave sensor is distinguished
It is placed in skin surface at the left and right wrist radial artery of the detected person, measures the first pulse wave signal and the second pulse wave signal;
By photoelectric sensor using the conventional method based on photoplethysmographic, photoplethysmographic signal is measured;Based on institute
Electrocardiosignal, first pulse wave signal and the second pulse wave signal, the photoplethysmographic signal are stated, pulse is obtained
The testing result of wave velocity of wave.It is very difficult on clinical manipulation to solve detection device in the prior art, during clinical measurement
Technology teacher after professional training is needed to operate, and the technical issues of relevant device involves great expense, realizing can be to phase
The set signalling comprehensive of cardiovascular electrocardio, photoelectricity blood flow, pressure pulse wave in the same time, calculates pulse wave conduction speed, is
The evaluation of clinical artery sclerosis provides a kind of technique effect of new means.
(2) embodiment of the present invention is solved by using photoelectric sensor using the conventional method based on photoplethysmographic
Detection device certainly in the prior art is very difficult on clinical manipulation, is needed after professional training during clinical measurement
The technical issues of technology teacher operates, and relevant device involves great expense, the probe for having reached photoelectric method measurement is small and exquisite, flexibility
Good, the noninvasive mode for placing skin measurement is various, and anti-interference ability is strong compared to pressure pulse wave measurement method, clinical operability
Superior technique effect.
(3) embodiment of the present invention monitors pulse wave conduction speed method by the way that photoplethysmographic is added, and further reaches
Measurement to the measurement dimension for increasing photoelectric method, photoelectricity periphery peripheral vessel blood flow signal makes system measurement method consider
The technique effect of peripheral blood vessel hardenability.
(4) multimetering and Modifying model of the embodiment of the present invention by multi-mode has reached the standard for improving conduction of velocity
True property, can reduce the technique effect of systematic error.
Description of the drawings
Fig. 1 is the flow chart of pulse wave velocity detection method of the present invention;
Fig. 2 is the schematic diagram of pulse wave velocity detection method of the present invention;
Fig. 3 is the structure chart of pulse wave velocity detection device of the present invention;
Fig. 4 is the definition schematic diagram in relation to the time difference in the method for the present invention.
Reference numeral:1- electrocardioelectrodes, 2- binary channels pressure pulse wave sensors, 3- photoelectricity blood flow detection probes, 4- letters
Number processing module, 5- computers, 6- displays, 7- electrocardiosignals, 8,9- pressure pulse wave signals, 10- photoplethysmographics
Signal.
Specific implementation mode
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
An embodiment of the present invention provides a kind of pulse wave velocity detection method and devices, solve detection in the prior art
Device is very difficult on clinical manipulation, needs technology teacher after professional training to operate during clinical measurement, Er Qiexiang
Close the technical problem of equipment manufacturing cost costliness.
A kind of pulse wave velocity detection method proposed by the present invention, mentality of designing are:It, will by ECG detecting sensor
The skin contact of the corresponding position of electrocardioelectrode and detected person, measures electrocardiosignal;Pressure pulse wave sensor is placed in institute
Skin surface at detected person's left or right wrist radial artery is stated, pulse wave signal is measured;By photoelectric sensor using conventional base
In the method for photoplethysmographic, photoplethysmographic signal is measured;Based on the electrocardiosignal, the pulse wave signal
With the photoplethysmographic signal, the mathematical model for the calculating pulse wave velocity established eventually by the present invention is calculated
Pulse wave velocity.The pulse wave velocity detection method is as follows:
Step 1: measuring the electrocardiosignal of detected person by ECG detecting sensor;
Step 2: using the method based on photoplethysmographic by photoelectric sensor, measures detected person's left hand and refer to
Photoplethysmographic signal at point or the photoplethysmographic signal at right hand finger tip;
Step 3: measuring the pressure pulse wave signal at detected person's left finesse radial artery by pressure pulse wave sensor
Or the pressure pulse wave signal at right finesse radial artery;
Step 4: according to the electrocardiosignal, the pulse wave signal and the photoplethysmographic signal, according to formula
(1) pulse wave velocity ν is acquired:
In formula (1),
α is the weighting coefficient of the pulse wave velocity of photoplethysmographic detection, and the value range of α is [0,1];
β is the weighting coefficient of pressure pulse wave velocity of wave, and the value range of β is [0,1];
S1To measure site along detected person's body surface to the length of detected person's cardiac position from photoelectric sensor;
S2For from pressure pulse wave sensor measurement site along detected person's body surface to the length of detected person's cardiac position;
ΔT1For the electrocardiosignal wave crest and the photoplethysmographic signal corresponding with the electrocardiosignal wave crest
The time difference of wave crest in of the invention, passes through the wave crest that the photoplethysmographic signal obtains photoplethysmographic signal
Time point calculates the time difference of the peak time point and electrocardiosignal S wave inflection points, as shown in Figure 4.
ΔT2For the electrocardiosignal wave crest and the pressure pulse wave signal wave crest corresponding with the electrocardiosignal wave crest
Time difference, the present invention in, by the pressure pulse wave signal obtain pressure pulse wave signal peak time point, calculate should
The time difference of peak time point and electrocardiosignal S wave inflection points, as shown in Figure 4.
It may be used in the preferred embodiments of the invention and introduce multiple weight variables, to improve accuracy and reduce system
Error, for example, heretofore described pressure pulse wave sensor is preferably binary channels pressure pulse wave sensor, by binary channels
Pressure pulse wave sensor is respectively placed in skin surface at the left and right wrist radial artery of the detected person, measures the first pulse wave
Signal and the second pulse wave signal;By photoelectric sensor using the conventional method based on photoplethysmographic, photoelectricity is measured
Volume pulsation wave signal;Based on the electrocardiosignal, first pulse wave signal and the second pulse wave signal, the photocapacitance
Pulse wave velocity is calculated using following mathematical models for calculating pulse wave velocity in product pulse wave signal.
Wherein, α is the weighting coefficient of the pulse wave velocity of photoplethysmographic detection;β1For the first pulse wave signal
Weighting coefficient;β2For the weighting coefficient of the first pulse wave signal;S1For from photoelectric sensor measure site along detected person's body surface extremely
The length of detected person's cardiac position;S2And S3Respectively from binary channels pressure pulse wave sensor measurement site along detected person
Body surface to detected person's cardiac position length.
Using binary channels pressure pulse wave sensor realize can to mutually in the same time cardiovascular electrocardio, photoelectricity blood flow,
The set signalling comprehensive of pressure pulse wave, calculates pulse wave conduction speed, and one kind is provided newly for the evaluation of clinical artery sclerosis
Means technique effect.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Embodiment one
An embodiment of the present invention provides a kind of pulse wave velocity detection methods, referring to FIG. 1, the method includes:
The classical principle of pulse wave conduction speed is the body surface distance L and pulse wave translation time by measuring artery segment
PTT is acquired, PWV=L/PTT.The measuring technique means of existing generally acknowledged maturation are by pressure pulse wave measurement neck stock pulse wave
Conduction of velocity, since pressure pulse wave measurement method has fixed hardly possible, the shortcomings that being easily disturbed, in addition at neck and femoral artery
Measuring point Special complex, operation require very high, Clinical practicability relative deficiency.
Based on this, the present invention provides the set signalling comprehensives based on electrocardio, photoelectricity blood flow, pressure pulse wave to calculate conduction
Speed obtains electrocardio, photoelectric sphyg wave, pressure pulse wave by the sensor of multi-mode and derives pulse wave velocity.This implementation
Mode is using the electrocardioelectrode of three leads, single photoplethysmographic sensor, binary channels pressure pulse wave sensor, work
Making principle and execution, steps are as follows:
Step 110:By ECG detecting sensor, by the skin contact of electrocardioelectrode and the corresponding position of detected person,
Measure electrocardiosignal;
Further, the electrocardiosignal obtained by the electrocardioelectrode carries out Q-R-S detections, obtains signal knee S,
Record is pulse wave translation time starting point this moment.
Specifically, the electrocardiogram acquisition mode includes single lead, three lead of standard, five lead of standard, standard 12
Lead;Present invention preferably uses the electrocardioelectrodes of three leads.The electrocardioelectrode 1 includes the electrocardio electrode plate of three leads,
Respectively LL, LA, RA, electrode LL are placed on the intersection point of left mid-clavicular line 6,7 intercostals, and electrode LA is placed on left mid-clavicular line and the 2nd rib
Between intersection point, electrode RA is placed on the intersection point of right midclavicular line and the 2nd intercostal, and electrode slice is close to skin after removing keratoderma
Skin measures electrocardiosignal.The Q-R-S detections are the detection of ecg wave form inflection point.
Step 120:Binary channels pressure pulse wave sensor is respectively placed at the left and right wrist radial artery of the detected person
Skin surface measures the first pulse wave signal and the second pulse wave signal;
Further, the peak time point P1 of the first pulse wave signal 8 is obtained, peak time point P1 and electrocardiosignal are calculated
The time difference Δ T of 7 S wave inflection points2;The peak time point P2 of the second pulse wave signal 9 is obtained, peak time point P2 and the heart are calculated
The time difference Δ T of electric signal S wave inflection points3.As shown in Figure 4.
Specifically, described be respectively placed in the left and right wrist oar of the detected person by binary channels pressure pulse wave sensor
Skin surface at artery measures a pulse wave signal from left hand, from a pulse wave signal of right-hand side, as described first
Pulse wave signal and the second pulse wave signal, wherein first pulse wave signal can be the signal that left hand measures, can also
It is the signal that the right hand measures, second pulse wave signal can be the signal that left hand measures, and can also be the letter that the right hand measures
Number, two pulse wave signals of acquisition are only distinguished, which is not particularly limited and obtains pulse wave signal for left hand.
Step 130:By photoelectric sensor using the conventional method based on photoplethysmographic, photoelectricity volume arteries and veins is measured
It fights wave signal;
Further, the peak time point P3 of photoplethysmographic signal 10 is obtained, peak time point P3 and the heart are calculated
The time difference Δ T of electric signal S wave inflection points1。
Specifically, the photoelectricity blood flow detection probe of the photoelectric sensor is tightly attached to the abundant skin surface of peripheral vessel
Position.Preferably, the position is index finger tip, ear-lobe, head forehead center.
Step 140:Based on the electrocardiosignal, first pulse wave signal and the second pulse wave signal, the photoelectricity
Volume pulsation wave signal obtains the result of calculation of pulse wave velocity:
Wherein, α is the weighting coefficient of the pulse wave velocity of photoplethysmographic detection;β1For the first pulse wave signal
Weighting coefficient;β2For the weighting coefficient of the first pulse wave signal;S1For the body surface of ECG detecting sensor measurement site and heart away from
From;S2For the body surface distance in binary channels pressure pulse wave sensor measurement site and heart;S3For photoelectric sensor measure site with
The body surface distance of heart.The weighting coefficient value range [0,1] of α, the weighting coefficient value range [0,1] of β.
Further, the goldstandard measured by pulse wave velocity establishes the computation model of pulse wave velocity, derives and true
Determine weight coefficient α, β1、β2。
Specifically, the synchro measure signal of three kinds of sensors based on multi-mode, establishes the computation model of PWV:
Wherein, α, β are undetermined coefficient, and α is the weighting coefficient of the pulse wave velocity of photoplethysmographic detection, and β is pressure
The weighting coefficient of power pulse wave velocity;S1, S2 are respectively length of vessel of the measurement site of each sensor apart from heart.
The PWV detection methods, the goldstandard measured by PWV:Through ultrasonic doppler measurements pulse wave velocity
νs, the goldstandard experimental data ν based on testersThe computation model that PWV is established with the S/ Δ T values of corresponding tester, derives and true
Determine weight coefficient α, β;
The weight factor S/ Δs T of the PWV is not limited to be made of a photoelectric sensor and a pressure sensor, can
Corresponding weight factor, which is added, by multiple sensors of addition improves the computation model;Two photoelectric sensors and two
The computation model that a pressure sensor is constituted is as follows:
Wherein, α1The pulse wave velocity weighting coefficient being calculated, α are detected for one of photoelectric sensor2For another
Photoelectric sensor detects the pulse wave velocity weighting coefficient being calculated;β1The arteries and veins calculated for the detection of one of pressure sensor
It fights wave velocity of wave weighting coefficient, β2The pulse wave velocity weighting coefficient calculated for the detection of another pressure sensor;Wherein α1、α2's
Weighting coefficient value range [0,1], β1、β2Weighting coefficient value range [0,1];S1, S2, S3, S4 are respectively each sensor
Measure the body surface distance in site and heart.
Embodiment two
The present invention also provides a kind of devices of pulse wave velocity detection, and as shown in Figures 2 and 3, described device includes:
ECG detecting sensor, the ECG detecting sensor are triple channel ECG detecting sensor, the ECG detecting
Sensor input connects electrocardioelectrode 1, and the electrocardioelectrode 1 is contacted with detected person front, acquires electrocardiosignal;
Pressure pulse wave sensor, the pressure pulse wave sensor are binary channels pressure pulse wave sensor 2, described double
Skin surface at the left and right wrist radial artery of detected person described in the input terminal of channel pressure pulse wave sensor 2 and detected person
Contact acquires the first pulse wave signal and the second pulse wave signal;Photoelectric sensor, the input terminal and quilt of the photoelectric sensor
Tester's skin of index finger contacts, and acquires photoplethysmographic signal;Signal processing module 4, the signal processing module 4 it is defeated
Enter end to connect with the output end of 4 sensor of the ECG detecting, binary channels pressure pulse wave sensor 2, photoelectric sensor respectively,
Receive the electrocardiosignal, first pulse wave signal and the second pulse wave signal, the photoplethysmographic signal.
The electrocardioelectrode 1 for being set to three lead of measured is placed in front for ecg signal acquiring, and three electrocardioelectrodes 1 are adopted
The signal of collection is input to signal processing module 4;The binary channels pressure sensor 2 for being set to measured is used for the detection of pulse wave,
The pulse wave signal that the binary channels pressure pulse wave sensor 2 measures is input to signal processing module 4;The photoelectric sensor
Photoelectricity blood flow detection probe 3 signal is input to together with the pulse wave signal that binary channels pressure sensor 2 acquires by conducting wire
Processing module 4;Signal processing module 4 is connect with computer 5 through serial communication, and computer 5 integrates three kinds of information, handles and count
Cardio-vascular parameters PWV is calculated, cardio-vascular parameters, electrocardio, photoplethysmographic waveform, pressure arteries and veins are shown on display interactive device
It fights wave waveform.
Electrocardioelectrode 1 includes the electrocardio electrode plate of three leads, respectively LL, LA, RA, electrode LL be placed on left mid-clavicular line 6,
The intersection point of 7 intercostals, electrode LA are placed on the intersection point of left mid-clavicular line and the 2nd intercostal, and electrode RA is placed on right midclavicular line and the 2nd intercostal
Intersection point, electrode slice is close to skin after removing keratoderma, and is connected to heart signal processing mould by three conducting wires respectively
Block 4.
Twin-channel pressure pulse wave sensor 2, is respectively placed at the radial artery of right-hand man, is fixed using wrist strap, is applied
Pressure and adjusting pressure makes pulse wave signal stablize output, and is connected to signal processing module 4 by two conducting wires respectively;Photoelectricity
Blood flow detection probe 3 is close to the facies palmaris of index finger tip, and is connected to signal processing together with pressure pulse wave signal by conducting wire
Module 4.
Further, the signal processing module 4 specifically includes:Triple channel electrocardio front end modulate circuit, the triple channel
Electrocardio front end modulate circuit is connect with the output end of the ECG detecting sensor, receives the electrocardiosignal 7;Photoelectricity, bilateral
Road pulse wavefront end modulate circuit, the photoelectricity, binary channels pulse wave front end modulate circuit respectively with the binary channels pressure arteries and veins
It fights the output end connection of wave sensor 2, the photoelectric sensor, receives first pulse wave signal and the second pulse wave letter
Number, the first ADC module of the photoplethysmographic signal, the input terminal of first ADC module and the triple channel electrocardio
The output end of front end modulate circuit connects, and the analog signal received is converted into digital signal and is exported;Second ADC module,
The input terminal of second ADC module is connect with the output end of the photoelectricity, binary channels pulse wave front end modulate circuit, will be received
To analog signal be converted into digital signal and export;Microcontroller, the input terminal of the microcontroller and first ADC module and
The output end of second ADC module connects, and output end is connect with the input terminal of the computer, receives the digital signal simultaneously
It is input to the computer;Power supply circuit, the power supply circuit and triple channel electrocardio front end modulate circuit, institute
State photoelectricity, binary channels pulse wave front end modulate circuit, the microcontroller connection, be triple channel electrocardio front end modulate circuit,
The photoelectricity, binary channels pulse wave front end modulate circuit, the microcontroller provide electric power.Computer 5, the computer 5 it is defeated
Enter end to connect with the output end of the signal processing module 4, according to the electrocardiosignal, first pulse wave signal and second
Pulse wave signal, the photoplethysmographic signal obtain pulse wave velocity;The computer 5 includes display 6, is used for
By the electrocardiosignal, first pulse wave signal and the second pulse wave signal, the photoplethysmographic signal and most
The data such as the result calculated eventually are shown.
Specifically, the signal processing module includes, triple channel electrocardio front end modulate circuit, photoelectricity, bilateral autolyte
It fights wavefront end modulate circuit, two identical ADC module, microcontroller and power supply circuit.Wherein pressure pulse wave front end tune
The signal of reason circuit connects input, and and ADC by the pressure pulse wave sensor in two channels together with photoelectricity blood flow detection probe
Module connects;Electrocardio front end modulate circuit connect input signal with three electrocardioelectrodes by conducting wire, and is connect with ADC module;
Two ADC module connect data communication with microcontroller.Microcontroller is communicated by the serial port protocol of USB with upper PCs.
The serial port protocol of the microcontroller and host computer is as follows:Using USB full duplex serial communication interfaces, 1 starting
Position, 8 data bit, 1 stop position, no parity position, baud rate 115200bps.The data frame format of transmission:uint8buf
[12]={ 0xf0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xff, 0xff, 0xff }, wherein 0xf0
For data frame head, wherein the 10th, 11,12 byte 0xff, 0xff, 0xff are end frame character;Start sampling, feature code:
0xfa closes sampling, feature code:0xff.2nd, 3 bytes are respectively the high eight-bit of electrocardiosignal and eight low, and the 4th, 5 bytes
The respectively high eight-bit of 1 signal of pulse wave sensor channel and eight low, the 6th, 7 bytes be respectively pulse wave sensor channel 2
The high eight-bit of signal and eight low, the 8th, 9 bytes be respectively the high eight-bit of Photoelectric Pulse Wave Signal and eight low.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications can be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, those skilled in the art can carry out the embodiment of the present invention various modification and variations without departing from this hair
The spirit and scope of bright embodiment.In this way, if these modifications and variations of the embodiment of the present invention belong to the claims in the present invention
And its within the scope of equivalent technologies, then the present invention is also intended to include these modifications and variations.
Claims (5)
1. a kind of pulse wave velocity detection method, which is characterized in that include the following steps:
Step 1: measuring the electrocardiosignal of detected person by ECG detecting sensor;
Step 2: using the method based on photoplethysmographic by photoelectric sensor, measure at detected person's left hand finger tip
Photoplethysmographic signal or right hand finger tip at photoplethysmographic signal;
Step 3: by pressure pulse wave sensor measure pressure pulse wave signal at detected person's left finesse radial artery or
Pressure pulse wave signal at right finesse radial artery;
Step 4: according to the electrocardiosignal, the pulse wave signal and the photoplethysmographic signal, according to formula (1)
Acquire pulse wave velocity ν:
In formula (1),
α is the weighting coefficient of the pulse wave velocity of photoplethysmographic detection, and the value range of α is [0,1];
β is the weighting coefficient of pressure pulse wave velocity of wave, and the value range of β is [0,1];
S1To measure site along detected person's body surface to the length of detected person's cardiac position from photoelectric sensor;
S2For from pressure pulse wave sensor measurement site along detected person's body surface to the length of detected person's cardiac position;
ΔT1For the electrocardiosignal wave crest and the photoplethysmographic signal wave crest corresponding with the electrocardiosignal wave crest
Time difference;
ΔT2For the time of the electrocardiosignal wave crest and the pressure pulse wave signal wave crest corresponding with the electrocardiosignal wave crest
Difference.
2. pulse wave velocity detection method according to claim 1, which is characterized in that in step 4, the electrocardiosignal wave
The time difference Δ T at peak and the photoplethysmographic signal wave crest corresponding with the electrocardiosignal wave crest1Computational methods be:
The peak time point that photoplethysmographic signal is obtained by the photoplethysmographic signal, calculates the peak time point
With the time difference of electrocardiosignal S wave inflection points.
3. pulse wave velocity detection method according to claim 1, which is characterized in that in step 4, the electrocardiosignal wave
The time difference Δ T at peak and the pressure pulse wave signal wave crest corresponding with the electrocardiosignal wave crest2Computational methods be:Pass through
The pressure pulse wave signal obtains the peak time point of pressure pulse wave signal, calculates the peak time point and electrocardiosignal S
The time difference of wave inflection point.
4. a kind of pulse wave velocity detection device, which is characterized in that described device includes:
ECG detecting sensor, pressure pulse wave sensor, photoelectric sensor, signal processing module and computer;
The ECG detecting sensor is for acquiring electrocardiosignal;
The pressure pulse wave sensor is for acquiring pulse wave signal;
The photoelectric sensor is for acquiring photoplethysmographic signal;
The input terminal of the signal processing module respectively with the ECG detecting sensor, pressure pulse wave sensor, photoelectric transfer
The output end of sensor connects, and receives the electrocardiosignal, the pulse wave signal and the photoplethysmographic signal;
The input terminal of the computer is connect with the output end of the signal processing module, is handled according to the signal processing module
Pulse wave velocity is calculated in the digital signal obtained afterwards;Show the digital signal and pulse wave velocity simultaneously.
5. pulse wave velocity detection device according to claim 4, which is characterized in that
The ECG detecting sensor is triple channel ECG detecting sensor, and the pressure pulse wave sensor is binary channels pressure
Pulse wave sensor;
The signal processing module specifically includes:
Triple channel electrocardio front end modulate circuit, triple channel electrocardio front end modulate circuit are sensed with the triple channel ECG detecting
The output end of device connects;
Photoelectricity, binary channels pulse wave front end modulate circuit, the photoelectricity, binary channels pulse wave front end modulate circuit respectively with it is described
The output end connection of binary channels pressure pulse wave sensor, the photoelectric sensor;
First ADC module, the input terminal of first ADC module connect with the output end of triple channel electrocardio front end modulate circuit
It connects, the analog signal received is converted into digital signal and exports;
Second ADC module, the input terminal of second ADC module and the photoelectricity, binary channels pulse wave front end modulate circuit
Output end connects, and the analog signal received is converted into digital signal and is exported;
Microcontroller, the input terminal of the microcontroller are connect with the output end of first ADC module and second ADC module,
Output end is connect with the input terminal of the computer, is received the digital signal and is input to the computer;
Power supply circuit, the power supply circuit and triple channel electrocardio front end modulate circuit, the photoelectricity, binary channels
Pulse wave front end modulate circuit, microcontroller connection, are triple channel electrocardio front end modulate circuit, the photoelectricity, bilateral
Road pulse wavefront end modulate circuit, the microcontroller provide electric power.
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