CN104382571B - A kind of measurement blood pressure method and device based on radial artery pulse wave conduction time - Google Patents
A kind of measurement blood pressure method and device based on radial artery pulse wave conduction time Download PDFInfo
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- 210000002321 radial artery Anatomy 0.000 title claims abstract description 57
- 230000036772 blood pressure Effects 0.000 title claims abstract description 35
- 238000005259 measurement Methods 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title abstract description 19
- 230000003321 amplification Effects 0.000 claims abstract description 8
- 238000006243 chemical reaction Methods 0.000 claims abstract description 8
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 8
- 210000001765 aortic valve Anatomy 0.000 claims description 16
- 230000035488 systolic blood pressure Effects 0.000 claims description 16
- 230000035487 diastolic blood pressure Effects 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 11
- 238000000611 regression analysis Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 9
- 210000001367 artery Anatomy 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 238000012417 linear regression Methods 0.000 claims description 6
- 230000001419 dependent effect Effects 0.000 claims description 5
- 210000003462 vein Anatomy 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 238000009530 blood pressure measurement Methods 0.000 abstract description 3
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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 for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
- A61B5/02125—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave propagation time
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Abstract
The present invention is applied to biological medicine and technical field of medical equipment, there is provided a kind of measurement blood pressure method and device based on radial artery pulse wave conduction time, methods described includes：Human body radial artery pulse wave signal is gathered by photoelectric sensor, microprocessor is filtered amplification to human body radial artery pulse wave signal, AD conversion, finally give noise few, the obvious human body radial artery pulse wave signal of characteristic point, human body radial artery pulse wave data to obtaining carry out frequency-domain transform, small echo treatment, second differnce determines the characteristic point of human body radial pulse waveform, calculate the exact numerical of human body radial artery pulse wave conduction time, set up the regression equation of measurement blood pressure, it is final to obtain pressure value, the present invention, only need spot measurement blood pressure, reduce the intractability of signal, simplify measurement process, improve the comfort of blood pressure measurement, simultaneously, the accuracy that improve measurement blood pressure is improved by method, and continuously can for a long time carry out the monitoring of blood pressure.
Description
Technical field
Passed based on radial artery pulse wave the invention belongs to biological medicine and technical field of medical equipment, more particularly to one kind
Lead the measurement blood pressure method and device of time.
Background technology
Cardiovascular and cerebrovascular disease is that one of disease of mankind's most serious is threatened in the world today, and its morbidity and mortality has jumped
Rank first in the world.With the birth of new and high technology Medical Instruments, although bring Gospel to the treatment of disease, but produce therefrom
Raw high medical expense brings huge pressure to family and society.A kind of suitable technology is found to relax this contradiction
Just seem extremely necessary, human pulse wave source, in aroused in interest, is the vital sign of human life presence, and its conduction is subject to the heart simultaneously
It is dirty itself and flow through the influence of various physiologic factors in arteries at different levels and branch, thus included in pulse wave signal profuse
Cardiovascular system physiological and pathological information, such as hypertension, artery sclerosis angiocardiopathy are early stage not yet there is clinical manifestation
Be accompanied by a series of change of cardiovascular physiology parameters such as blood pressure, vascular resistence, periphery impedance, pulse wave will in amplitude and
These changes are emerged from wave character.If scientific and reasonable detection can be carried out to pulse signal in daily monitoring, examined
Disconnected, analysis, grasps the details of these parameters, and become in the change that long-term dynamic monitoring understands health in time
Gesture, these all have great clinical meaning for anti-angiocardiopathy.For data acquisition, pulse wave is believed compared with other physiology
Number there is stronger operability, therefore deduce that, pulse wave technology be it is a kind of can real-time monitoring pulse signal and can be synchronous
The pulse of analyzing cardiovascular function physiological parameter is auxiliary to examine system, for the Intelligence Diagnosis of disease provide effective analysis means and ginseng
Examine.
Existing pulse wave technology is all to need to carry out calculating Pulse transit time by 2 points, and signal acquisition difficulty is big, inspection
Measured value is more, and testing result error is big.
The content of the invention
The embodiment of the invention provides a kind of measurement blood pressure method and device based on radial artery pulse wave conduction time, purport
Need to carry out calculating Pulse transit time by 2 points prior art is solved, signal acquisition difficulty is big, and detected value is more, detection knot
The big problem of fruit error.
On the one hand, there is provided a kind of measurement blood pressure method based on radial artery pulse wave conduction time, methods described includes：
Radial artery pulse wave signal is gathered by photoelectric sensor, the radial artery pulse wave signal is filtered successively
Amplification, AD conversion, obtain the first radial artery pulse wave signal；
Frequency-domain transform, small echo treatment and second differnce computing are carried out to the first radial artery pulse wave signal, is obtained
The starting point of Ve, main ripple crest, aortic valve closing point, the crest of dicrotic wave and pulse wave decent minimum point；
Starting point, main ripple crest according to the Ve, aortic valve closing point, the crest and pulse of dicrotic wave
Ripple decent minimum point, calculates the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively；
According to the SPPT and systolic pressure be linear and the DPPT, pulse cycle and the linear pass of diastolic pressure
System, carries out regression analysis and obtains corresponding regression coefficient and constant, and then obtain systolic pressure and diastolic pressure respectively.
On the other hand, there is provided a kind of measurement blood pressure device based on radial artery pulse wave conduction time, described device includes：
Microprocessor and the memory module of microprocessor connection, wireless communication module, display module and computer communication interface
Module, battery, power management module and photoelectric sensor, wherein, the microprocessor includes：
First processing units, for gathering radial artery pulse wave signal by photoelectric sensor, to the radial pulse
Ripple signal is filtered amplification, AD conversion successively, obtains the first radial artery pulse wave signal；
Second processing unit, for the first radial artery pulse wave signal is carried out frequency-domain transform, small echo treatment and
Second differnce computing, obtains starting point, main ripple crest, aortic valve closing point, the crest and arteries and veins of dicrotic wave of Ve
Fight ripple decent minimum point；
3rd processing unit, for the starting point according to the Ve, main ripple crest, aortic valve closing point, weight
Fight the crest and pulse wave decent minimum point of ripple, when calculating the first Pulse transit time DPPT, the second pulse-transit respectively
Between SPPT and pulse cycle；
Blood pressure acquiring unit, for according to the SPPT and systolic pressure be linear and the DPPT, pulse cycle
It is linear with diastolic pressure, regression analysis is carried out respectively and obtains corresponding regression coefficient and constant, and then obtain systolic pressure and
Diastolic pressure.
In the embodiment of the present invention, human body radial artery pulse wave signal is gathered by photoelectric sensor, microprocessor is to human body
Radial artery pulse wave signal is filtered amplification, AD conversion, and it is few to finally give noise, the obvious human body radial pulse of characteristic point
Ripple signal, the human body radial artery pulse wave data to obtaining carry out frequency-domain transform, small echo treatment, second differnce determine human body oar move
The characteristic point of arteries and veins pulse waveform, calculates the exact numerical of human body radial artery pulse wave conduction time, sets up returning for measurement blood pressure
Return equation, finally obtain pressure value, the present invention only needs spot measurement blood pressure, reduces the intractability of signal, simplifies measurement
Process, improves the comfort of blood pressure measurement, meanwhile, the accuracy that improve measurement blood pressure is improved by method, and can
The continuous monitoring for carrying out blood pressure for a long time.
Brief description of the drawings
Fig. 1 is the realization of the measurement blood pressure method based on radial artery pulse wave conduction time that the embodiment of the present invention one is provided
Flow chart；
Fig. 2 is the 38 years old normal person and 38 years old spy of hyperpietic's sample radial artery waveform that the embodiment of the present invention one is provided
Levy a mark figure；
Fig. 3 is the schematic diagram of radial artery pulse wave transmission time DPPT, SPPT that the embodiment of the present invention one is provided；
Fig. 4 is the specific of the measurement blood pressure device based on radial artery pulse wave conduction time that the embodiment of the present invention two is provided
Structured flowchart；
Fig. 5 is the hardware of the measurement blood pressure device based on radial artery pulse wave conduction time that the embodiment of the present invention two is provided
Structured flowchart.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Realization of the invention is described in detail below in conjunction with specific embodiment：
Embodiment one
Fig. 1 shows the measurement blood pressure method based on radial artery pulse wave conduction time that the embodiment of the present invention one is provided
Flow is realized, details are as follows：
In step S101, radial artery pulse wave signal is gathered by photoelectric sensor, the radial artery pulse wave is believed
Amplification, AD conversion number are filtered successively, obtain the first radial artery pulse wave signal.
In the present embodiment, due to the Pulse transit time of radial artery waveshape first obtained under different gestures
The pressure value that DPPT, the second Pulse transit time SPPT and pulse cycle are obtained is slightly changed, comparatively, comfort for sitting posture mode
The radial artery pulse wave signal interference for collecting is smaller, it is preferred that the radial artery pulse wave signal is specially and is relaxed using sitting posture
What suitable mode was collected, including left finesse or left hand wrist radial artery pulse wave signal.By the radial pulse to gathering
Ripple signal carries out multistage amplification, and filtering interfering, AD conversion pretreatment operation is filtered as human body myoelectricity, respiration interference and power frequency are dry
Disturb, obtain cleaner, preferable first radial artery pulse wave signal.
In step s 102, frequency-domain transform, small echo treatment and second order are carried out to the first radial artery pulse wave signal
Calculus of differences, obtains starting point, main ripple crest, aortic valve closing point, the crest and pulse wave of dicrotic wave of Ve
Decent minimum point.
In the present embodiment, frequency-domain transform, small echo treatment and second order are carried out to the first radial artery pulse wave signal
Calculus of differences, starting point B, main ripple crest C, dicrotic notch D, the crest E of dicrotic wave and the pulse wave for obtaining Ve declines
Branch minimum point F, specifically, as shown in Figure 2 a for the characteristic point mark of the radial artery waveform of blood pressure proper testing person is schemed, such as Fig. 2 b
It show the characteristic point mark figure of the radial artery waveform of hypertension tester.Wherein, according to Nai Kuisi signal sampling laws, logarithm
2 times of primary signal peak frequency are have to be larger than according to the frequency of sampling, by many experiments of the sample frequency to primary signal
It was found that the signal detail of sample frequency performance higher is abundanter, while disturb can be very serious, computing and memory requirement to hardware
Increase.In turn, sample frequency is lower, and the details performance of signal is insufficient, and low-frequency disturbance mixing useful signal is difficult to distinguish.It is logical
The possible position of the appearance for determining replay prewave is crossed, the maximum frequency of the possibility of useful signal is determined, sample frequency 500Hz is determined
Clarity of detail has been obtained, less radial artery photosignal waveform has been disturbed.
In step s 103, according to the Ve starting point, main ripple crest, aortic valve closing point, dicrotic wave
Crest and pulse wave decent minimum point, the first Pulse transit time DPPT, the second Pulse transit time are calculated respectively
SPPT and pulse cycle.
In the present embodiment, specifically, starting point, main ripple crest, aortic valve closing point according to the Ve,
The crest and pulse wave decent minimum point of dicrotic wave, by since the starting point of the Ve to there is the active
The time that arteries and veins valve is closed between point, will be since the aortic valve closing point to appearance used as the first Pulse transit time DPPT
Time between the pulse wave decent minimum point as the second Pulse transit time SPPT, by two neighboring main ripple crest
Time interval as pulse cycle, wherein, the first Pulse transit time DPPT and the second Pulse transit time SPPT such as Fig. 3 institutes
Show.
In step S104, according to the SPPT and systolic pressure be linear and the DPPT, pulse cycle with relax
Open and be pressed into linear relationship, regression analysis is carried out respectively and obtains corresponding regression coefficient and constant, and then obtain systolic pressure and diastole
Pressure.
In the present embodiment, this step is specially：It is linear with systolic pressure SBP according to the SPPT, with SBP as should
Variable, to be independent variable to the SPPT, carries out gradually linear regression analysis, the feature of the systolic pressure that stepwise regression analysis is obtained
Equation is：
SBP=a+b*SPPT
Wherein, a, b are fitting coefficient, a, and b is linear with systolic pressure SBP according to the SPPT by SPSS softwares
Relation is calculated and obtained；
It is linear according to the DPPT, pulse cycle and diastolic pressure, with DBP as dependent variable, with to the DPPT and
Pulse cycle is independent variable, carries out gradually linear regression analysis, and the characteristic equation of the diastolic pressure that stepwise regression analysis is obtained is：
DBP=e+f* (DPPT*T)
Wherein, e, f are fitting coefficient, and T is pulse cycle, a, and b is according to the DPPT, pulse by SPSS softwares
Cycle, calculate linear with diastolic pressure obtained.It is right that computational methods set forth above are carried out with the algorithms most in use that there is currently
Than analysis and research, such as second dervative maximum and intersecting tangential method, carried out in group using SPSS softwares are commonly used in engineering mathematics
Correlation and Bland-Altman are analyzed, and checking is it is proposed that method calculates the advantage and disadvantage and robustness of DPPT and SPPT.
The present embodiment, only needs spot measurement blood pressure, reduces the intractability of signal, simplifies the gatherer process of blood pressure,
The comfort of blood pressure measurement is drastically increased, meanwhile, the accuracy that improve measurement blood pressure is improved by method, and can
The continuous monitoring for carrying out blood pressure for a long time.
Embodiment two
Fig. 4 shows the measurement blood pressure device based on radial artery pulse wave conduction time that the embodiment of the present invention two is provided
Concrete structure block diagram, for convenience of description, illustrate only the part related to the embodiment of the present invention.In the present embodiment, the base
Include in the measurement blood pressure device of radial artery pulse wave conduction time：Microprocessor and the storage mould of microprocessor connection
Block, wireless communication module, display module and computer communication interface module, battery, power management module and photoelectric sensor,
As shown in Figure 5.
Wherein, the microprocessor includes：
First processing units 41, for gathering radial artery pulse wave signal by photoelectric sensor, to the radial artery arteries and veins
Ripple signal of fighting is filtered amplification, AD conversion successively, obtains the first radial artery pulse wave signal；
Second processing unit 42, for the first radial artery pulse wave signal is carried out frequency-domain transform, small echo treatment with
And second differnce computing, obtain the starting point of Ve, main ripple crest, aortic valve closing point, the crest of dicrotic wave and
Pulse wave decent minimum point；
3rd processing unit 43, for the starting point according to the Ve, main ripple crest, aortic valve closing point,
The crest and pulse wave decent minimum point of dicrotic wave, calculate the first Pulse transit time DPPT, the second pulse-transit respectively
Time SPPT and pulse cycle；
Blood pressure acquiring unit 44, for according to the SPPT and systolic pressure be linear and the DPPT, pulse week
Phase is linear with diastolic pressure, regression analysis is carried out respectively and obtains corresponding regression coefficient and constant, so obtain systolic pressure with
And diastolic pressure.
Further, the 3rd processing unit 43 specifically for the starting point according to the Ve, main ripple crest,
Aortic valve closing point, the crest of dicrotic wave and pulse wave decent minimum point, will open from the starting point of the Ve
Begin to the time occurred between the aortic valve closing point as the first Pulse transit time DPPT, will be from the aorta petal
Close point to start to the time occurred between the pulse wave decent minimum point as the second Pulse transit time SPPT, by phase
Adjacent two time intervals of main ripple crest are used as pulse cycle.
Further, the blood pressure acquiring unit 44 is specifically for linear with systolic pressure SBP according to the SPPT,
With SBP as dependent variable, to be independent variable to the SPPT, gradually linear regression analysis, the receipts that stepwise regression analysis is obtained are carried out
The characteristic equation of contractive pressure is：
SBP=a+b*SPPT
Wherein, a, b are fitting coefficient；
It is linear according to the DPPT, pulse cycle and diastolic pressure, with DBP as dependent variable, with to the DPPT and
Pulse cycle is independent variable, carries out gradually linear regression analysis, and the characteristic equation of the diastolic pressure that stepwise regression analysis is obtained is：
DBP=e+f* (DPPT*T)
Wherein, e, f are fitting coefficient, and T is pulse cycle.
Further, the radial artery pulse wave signal is specially what wrist portion was collected using comfort for sitting posture mode.
Measurement blood pressure device based on radial artery pulse wave conduction time provided in an embodiment of the present invention can be applied preceding
State in corresponding embodiment of the method one, details will not be repeated here referring to the description of above-described embodiment one.
It is worth noting that, in said system embodiment, included unit is to be drawn according to function logic
Point, but above-mentioned division is not limited to, as long as corresponding function can be realized；In addition, each functional unit is specific
Title is also only to facilitate mutually distinguish, the protection domain being not intended to limit the invention.
In addition, one of ordinary skill in the art will appreciate that realizing all or part of step in the various embodiments described above method
Program be can be by instruct the hardware of correlation to complete, corresponding program can be stored in embodied on computer readable storage and be situated between
In matter, described storage medium, such as ROM/RAM, disk or CD.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in essence of the invention
Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.
Claims (2)
1. a kind of measurement blood pressure device based on radial artery pulse wave conduction time, including microprocessor and the microprocessor
The memory module of connection, wireless communication module, display module and computer communication interface module, battery, power management module and
Photoelectric sensor, it is characterised in that the microprocessor includes：
First processing units, for gathering radial artery pulse wave signal by photoelectric sensor, believe the radial artery pulse wave
Amplification, AD conversion number are filtered successively, obtain the first radial artery pulse wave signal；
Second processing unit, for carrying out frequency-domain transform, small echo treatment and second order to the first radial artery pulse wave signal
Calculus of differences, obtains starting point, main ripple crest, aortic valve closing point, the crest and pulse wave of dicrotic wave of Ve
Decent minimum point；
3rd processing unit, for the starting point according to the Ve, main ripple crest, aortic valve closing point, dicrotic wave
Crest and pulse wave decent minimum point, the first Pulse transit time DPPT, the second Pulse transit time are calculated respectively
SPPT and pulse cycle, the 3rd processing unit is specifically for the starting point according to the Ve, main ripple crest, active
Arteries and veins valve closes point, the crest of dicrotic wave and pulse wave decent minimum point, by since the starting point of the Ve to
There is the time between the aortic valve closing point as the first Pulse transit time DPPT, will be from the aortic valve closing
Point starts to the time occurred between the pulse wave decent minimum point as the second Pulse transit time SPPT, by adjacent two
The time interval of individual main ripple crest is used as pulse cycle；
Blood pressure acquiring unit, for according to the SPPT and systolic pressure be linear and the DPPT, pulse cycle with relax
Open and be pressed into linear relationship, regression analysis is carried out respectively and obtains corresponding regression coefficient and constant, and then obtain systolic pressure and diastole
Pressure, the blood pressure acquiring unit specifically for linear with systolic pressure SBP according to the SPPT, with SBP as dependent variable, with
It is independent variable to the SPPT, carries out gradually linear regression analysis, the characteristic equation of the systolic pressure that stepwise regression analysis is obtained is：
SBP=a+b*SPPT
Wherein, a, b are fitting coefficient；
It is linear according to the DPPT, pulse cycle and diastolic pressure, with DBP as dependent variable, with to the DPPT and pulse
Cycle is independent variable, carries out gradually linear regression analysis, and the characteristic equation of the diastolic pressure that stepwise regression analysis is obtained is：
DBP=e+f* (DPPT*T)
Wherein, e, f are fitting coefficient, and T is pulse cycle.
2. the measurement blood pressure device of radial artery pulse wave conduction time is based on as claimed in claim 1, it is characterised in that described
Radial artery pulse wave signal is specially what is collected using comfort for sitting posture mode.
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Families Citing this family (23)
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| CN114010167A (en) * | 2021-11-25 | 2022-02-08 | 中山大学 | Pulse wave fitting method based on Weibull function |
| CN116392164B (en) * | 2023-03-24 | 2025-07-25 | 华中科技大学 | Blood pressure measuring device and method based on optical fiber ultrasonic sensing |
| CN116570260A (en) * | 2023-06-19 | 2023-08-11 | 清华大学 | Cuffless blood pressure detection device and wearable device based on single-point radial artery wave |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10305018A (en) * | 1997-05-06 | 1998-11-17 | Nippon Colin Co Ltd | Pulse wave propagating speed information measuring instrument |
| WO2008154647A1 (en) * | 2007-06-12 | 2008-12-18 | Triage Wireless, Inc. | Vital sign monitor for cufflessly measuring blood pressure corrected for vascular index |
| KR20130123597A (en) * | 2012-05-03 | 2013-11-13 | 삼성전자주식회사 | Portable device for measuring blood pressure and method thereof in mobile terminal |
| JP5984088B2 (en) * | 2012-06-15 | 2016-09-06 | 国立大学法人 東京大学 | Noninvasive continuous blood pressure monitoring method and apparatus |
| US10398323B2 (en) * | 2012-08-28 | 2019-09-03 | Board Of Trustees Of Michigan State University | Methods and apparatus for determining pulse transit time as a function of blood pressure |
| US9211073B2 (en) * | 2013-02-20 | 2015-12-15 | Tosense, Inc. | Necklace-shaped physiological monitor |
| CN103908236B (en) * | 2013-05-13 | 2016-06-01 | 天津点康科技有限公司 | An automatic blood pressure measurement system |
| CN103876723A (en) * | 2014-04-01 | 2014-06-25 | 江苏理工学院 | Method for obtaining blood pressure value by calculating pulse wave conduction time through non-invasive radial artery waves |
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