CN104382571A - Method and device for measuring blood pressure upon radial artery pulse wave conduction time - Google Patents
Method and device for measuring blood pressure upon radial artery pulse wave conduction time Download PDFInfo
- Publication number
- CN104382571A CN104382571A CN201410587260.3A CN201410587260A CN104382571A CN 104382571 A CN104382571 A CN 104382571A CN 201410587260 A CN201410587260 A CN 201410587260A CN 104382571 A CN104382571 A CN 104382571A
- Authority
- CN
- China
- Prior art keywords
- wave
- radial artery
- pulse
- pulse wave
- blood pressure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- A61B5/02125—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave propagation time
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Cardiology (AREA)
- Engineering & Computer Science (AREA)
- Heart & Thoracic Surgery (AREA)
- Physiology (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Vascular Medicine (AREA)
- Biomedical Technology (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The invention is suitable for the technical field of biological medicines and medical facilities, and provides a method and a device for measuring blood pressure upon radial artery pulse wave conduction time. The method comprises the following steps: acquiring a human body radial artery pulse wave signal through a photoelectric sensor, and performing filtering amplification and AD (analog-digital) conversion on the human body radial artery pulse wave signal through a microprocessor to finally obtain a human body radial artery pulse wave signal with low noise and obvious feature points; performing frequency-domain transformation, wavelet processing and second order difference on the obtained human body radial artery pulse wave signal to determine the feature points of a human body radial artery pulse wave form; calculating an accurate numerical value of the human body radial artery pulse wave conduction time; establishing a regression equation for measuring the blood pressure to finally obtain blood pressure values. According to the method and the device provided by the invention, the blood pressure only needs to be measured at a single point, so that the processing difficulty of the signal is reduced, a measuring process is simplified, and the comfort of blood pressure measurement is improved; meanwhile, the accuracy of blood pressure measurement is improved through method improvements, and moreover, the blood pressure can be continuously monitored for a long time.
Description
Technical field
The invention belongs to biological medicine and technical field of medical equipment, particularly relate to a kind of Measure blood pressure method based on radial artery pulse wave conduction time and device.
Background technology
Cardiovascular and cerebrovascular disease the world today threatens one of disease that the mankind are the most serious, and its M & M leaps to No. 1 in the world.Along with the birth of new and high technology Medical Instruments, although bring Gospel to the treatment of disease, the high medical expense produced therefrom brings huge pressure to family and society.Find a kind of suitable technology and just seem very necessary to relax this contradiction, human pulse wave source is in aroused in interest, it is the vital sign that human life exists, its conduction is subject to heart itself simultaneously and flows through the impact of various physiologic factor in tremulous pulse at different levels and branch, thus contain profuse cardiovascular system physiological and pathological information in pulse wave signal, as hypertension, the cardiovascular disease such as arteriosclerosis are not yet occurring that the early stage of clinical manifestation has been attended by blood pressure, vascular resistance, the change of a series of cardiovascular physiology parameters such as periphery impedance, these changes will be embodied by pulse wave in amplitude and wave character.If scientific and reasonable detection, diagnosis, analysis can be carried out to pulse signal in daily monitoring, the details of timely these parameters of grasp, and understand the variation tendency of health in long-term dynamic monitoring, these all have great clinical meaning for anti-angiocardiopathy.With regard to data acquisition, pulse wave has stronger operability compared with other physiological signals, can draw thus, pulse wave technology be a kind of can Real-Time Monitoring pulse signal can the pulse of Synchronization Analysis cardiovascular function physiological parameter is auxiliary examines system, the Intelligence Diagnosis for disease provides effective analysis means and reference.
Existing pulse wave technology is all need to carry out calculating Pulse transit time by 2, and signals collecting difficulty is large, and detected value is many, and testing result error is large.
Summary of the invention
Embodiments provide a kind of Measure blood pressure method based on radial artery pulse wave conduction time and device, be intended to solve prior art need to carry out calculating Pulse transit time by 2, signals collecting difficulty is large, and detected value is many, the problem that testing result error is large.
On the one hand, provide a kind of Measure blood pressure method based on radial artery pulse wave conduction time, described method comprises:
Gather radial artery pulse wave signal by photoelectric sensor, successively filter and amplification, AD conversion are carried out to described radial artery pulse wave signal, obtains the first radial artery pulse wave signal;
Frequency domain transform, wavelet denoise and second differnce computing are carried out to described first radial artery pulse wave signal, the crest of the starting point of acquisition Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point;
According to crest and the pulse wave decent minimum point of the starting point of described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave, calculate the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively;
According to described SPPT and systolic pressure is linear and described DPPT, pulse cycle and diastolic pressure are linear, carry out regression analysis respectively and obtain corresponding regression coefficient and constant, and then obtain systolic pressure and diastolic pressure.
On the other hand, a kind of Measure blood pressure device based on radial artery pulse wave conduction time is provided, described device comprises: microprocessor, the memory module be connected with described microprocessor, wireless communication module, display module, with computer communication interface module, battery, power management module and photoelectric sensor, wherein, described microprocessor comprises:
First processing unit, for gathering radial artery pulse wave signal by photoelectric sensor, carrying out filter and amplification, AD conversion successively to described radial artery pulse wave signal, obtaining the first radial artery pulse wave signal;
Second processing unit, for carrying out frequency domain transform, wavelet denoise and second differnce computing to described first radial artery pulse wave signal, the crest of the starting point of acquisition Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point;
3rd processing unit, for crest and the pulse wave decent minimum point of the starting point according to described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave, calculate the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively;
Blood pressure acquiring unit, for according to described SPPT and systolic pressure is linear and described DPPT, pulse cycle and diastolic pressure are linear, carries out regression analysis respectively and obtains corresponding regression coefficient and constant, and then obtains 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 carries out filter and amplification to human body radial artery pulse wave signal, AD conversion, finally obtain noise few, characteristic point obvious human body radial artery pulse wave signal, frequency domain transform is carried out to the human body radial pulse wave datum obtained, wavelet denoise, the characteristic point of second differnce determination human body radial pulse waveform, calculate the exact numerical of human body radial artery pulse wave conduction time, set up the regression equation of Measure blood pressure, final acquisition pressure value, the present invention, only need spot measurement blood pressure, reduce the intractability of signal, simplify measuring process, improve the comfort of blood pressure measurement, simultaneously, the degree of accuracy that improve Measure blood pressure is improved by method, and the monitoring of blood pressure can be carried out continuously for a long time.
Accompanying drawing explanation
Fig. 1 is the realization flow figure of the Measure blood pressure method based on radial artery pulse wave conduction time that the embodiment of the present invention one provides;
Fig. 2 is the characteristic point mark figure of 38 years old normal person providing of the embodiment of the present invention one and 38 years old hyperpietic's sample radial artery waveform;
Fig. 3 be the embodiment of the present invention one provide the radial artery pulse wave transmission time DPPT, SPPT schematic diagram;
Fig. 4 is the concrete structure block diagram of the Measure blood pressure device based on radial artery pulse wave conduction time that the embodiment of the present invention two provides;
Fig. 5 is the hardware block diagram of the Measure blood pressure device based on radial artery pulse wave conduction time that the embodiment of the present invention two provides.
Detailed description of the invention
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Below in conjunction with specific embodiment, realization of the present invention is described in detail:
Embodiment one
Fig. 1 shows the realization flow of the Measure blood pressure method based on radial artery pulse wave conduction time that the embodiment of the present invention one provides, and details are as follows:
In step S101, gather radial artery pulse wave signal by photoelectric sensor, successively filter and amplification, AD conversion are carried out to described radial artery pulse wave signal, obtains the first radial artery pulse wave signal.
In the present embodiment, the pressure value obtained due to the radial artery waveshape first Pulse transit time DPPT, the second Pulse transit time SPPT and the pulse cycle that obtain under different gestures slightly changes, comparatively speaking, the radial artery pulse wave signal disturbing that comfort for sitting posture mode collects is less, preferably, described radial artery pulse wave signal is specially and adopts comfort for sitting posture mode to collect, and comprises the radial artery pulse wave signal of left finesse or left hand wrist.By carrying out multistage amplification, filtering interfering, AD conversion pretreatment operation to the radial artery pulse wave signal gathered, filtering, as human body myoelectricity, respiration interference and Hz noise etc., obtains the first cleaner, desirable radial artery pulse wave signal.
In step s 102, frequency domain transform, wavelet denoise and second differnce computing are carried out to described first radial artery pulse wave signal, the crest of the starting point of acquisition Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point.
In the present embodiment, frequency domain transform, wavelet denoise and second differnce computing are carried out to described first radial artery pulse wave signal, obtain the starting point B of Ve, main wave-wave peak C, dicrotic notch D, the crest E of dicrotic wave and pulse wave decent minimum point F, concrete, being the characteristic point mark figure of the radial artery waveform of blood pressure proper testing person as shown in Figure 2 a, is the characteristic point mark figure of the radial artery waveform of hypertension tester as shown in Figure 2 b.Wherein, according to Nai Kuisi signal sampling law, 2 times of primary signal peak frequency must be greater than to the frequency of data sampling, find that the signal detail of the higher performance of sample frequency is abundanter by the many experiments of the sample frequency to primary signal, interference simultaneously can be very serious, increases the computing of hardware and memory requirement.Conversely, sample frequency is lower, and the details performance of signal is insufficient, and low-frequency disturbance mixing useful signal is difficult to distinguish.By determining the possible position of the appearance of replay prewave, determining the possible maximum frequency of useful signal, determining that sample frequency 500Hz obtains clarity of detail, disturb less radial artery photosignal waveform.
In step s 103, according to crest and the pulse wave decent minimum point of the starting point of described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave, calculate the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively.
In the present embodiment, concrete, according to the starting point of described Ve, main wave-wave peak, aortic valve closing point, the crest of dicrotic wave and pulse wave decent minimum point, to the time occurred described aortic valve closing point as the first Pulse transit time DPPT using the starting point from described Ve, using from described aortic valve closing point to the time occurred described pulse wave decent minimum point as the second Pulse transit time SPPT, using the interval at adjacent two main wave-wave peaks as pulse cycle, wherein, first Pulse transit time DPPT and the second Pulse transit time SPPT as shown in Figure 3.
In step S104, according to described SPPT and systolic pressure is linear and described DPPT, pulse cycle and diastolic pressure are linear, carry out regression analysis respectively and obtain corresponding regression coefficient and constant, and then obtain systolic pressure and diastolic pressure.
In the present embodiment, this step is specially: linear according to described SPPT and systolic pressure SBP, take SBP as dependent variable, with to described SPPT for independent variable, carry out gradually linear regression analysis, the characteristic equation of the systolic pressure that stepwise regression analysis obtains is:
SBP＝a+b*SPPT
Wherein, a, b are fitting coefficient, and described a, b are obtained according to linear calculating of described SPPT and systolic pressure SBP by SPSS software;
Linear according to described DPPT, pulse cycle and diastolic pressure, take DBP as dependent variable, with to described DPPT and pulse cycle for independent variable, carry out gradually linear regression analysis, the characteristic equation of the diastolic pressure that stepwise regression analysis obtains is:
DBP＝e+f*(DPPT*T)
Wherein, e, f are fitting coefficient, and T is pulse cycle, and described a, b are obtained according to linear calculating of described DPPT, pulse cycle and diastolic pressure by SPSS software.The algorithms most in use of current existence is followed to be analyzed research to the computational methods of above-mentioned proposition, as second dervative maximum and intersecting tangential method etc., adopt conventional SPSS software in engineering mathematics to carry out intra class correlation and Bland-Altman analysis, verify that our put forward the methods calculates pluses and minuses and the robustness of DPPT and SPPT.
The present embodiment, only needs spot measurement blood pressure, reduces the intractability of signal, simplify the gatherer process of blood pressure, drastically increase the comfort of blood pressure measurement, simultaneously, improved the degree of accuracy that improve Measure blood pressure by method, and the monitoring of blood pressure can be carried out continuously for a long time.
Embodiment two
Fig. 4 shows the concrete structure block diagram of the Measure blood pressure device based on radial artery pulse wave conduction time that the embodiment of the present invention two provides, and for convenience of explanation, illustrate only the part relevant to the embodiment of the present invention.In the present embodiment, should comprise based on Measure blood pressure device of radial artery pulse wave conduction time: microprocessor, the memory module be connected with described microprocessor, wireless communication module, display module, and computer communication interface module, battery, power management module and photoelectric sensor, as shown in Figure 5.
Wherein, described microprocessor comprises:
First processing unit 41, for gathering radial artery pulse wave signal by photoelectric sensor, carrying out filter and amplification, AD conversion successively to described radial artery pulse wave signal, obtaining the first radial artery pulse wave signal;
Second processing unit 42, for carrying out frequency domain transform, wavelet denoise and second differnce computing to described first radial artery pulse wave signal, the crest of the starting point of acquisition Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point;
3rd processing unit 43, for crest and the pulse wave decent minimum point of the starting point according to described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave, calculate the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively;
Blood pressure acquiring unit 44, for according to described SPPT and systolic pressure is linear and described DPPT, pulse cycle and diastolic pressure are linear, carries out regression analysis respectively and obtains corresponding regression coefficient and constant, and then obtains systolic pressure and diastolic pressure.
Further, described 3rd processing unit 43 is specifically for the crest of the starting point according to described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point, to the time occurred described aortic valve closing point as the first Pulse transit time DPPT using the starting point from described Ve, using from described aortic valve closing point to the time occurred described pulse wave decent minimum point as the second Pulse transit time SPPT, using the interval at adjacent two main wave-wave peaks as pulse cycle.
Further, described blood pressure acquiring unit 44, specifically for linear according to described SPPT and systolic pressure SBP, take SBP as dependent variable, with to described SPPT for independent variable, carry out gradually linear regression analysis, the characteristic equation of the systolic pressure that stepwise regression analysis obtains is:
SBP＝a+b*SPPT
Wherein, a, b are fitting coefficient;
Linear according to described DPPT, pulse cycle and diastolic pressure, take DBP as dependent variable, with to described DPPT and pulse cycle for independent variable, carry out gradually linear regression analysis, the characteristic equation of the diastolic pressure that stepwise regression analysis obtains is:
DBP＝e+f*(DPPT*T)
Wherein, e, f are fitting coefficient, and T is pulse cycle.
Further, described radial artery pulse wave signal is specially wrist portion and adopts comfort for sitting posture mode to collect.
The Measure blood pressure device based on radial artery pulse wave conduction time that the embodiment of the present invention provides can be applied in the embodiment of the method one of aforementioned correspondence, and details, see the description of above-described embodiment one, do not repeat them here.
It should be noted that in said system embodiment, included unit is carry out dividing according to function logic, but is not limited to above-mentioned division, as long as can realize corresponding function; In addition, the concrete title of each functional unit, also just for the ease of mutual differentiation, is not limited to protection scope of the present invention.
In addition, one of ordinary skill in the art will appreciate that all or part of step realized in the various embodiments described above method is that the hardware that can carry out instruction relevant by program has come, corresponding program can be stored in a computer read/write memory medium, described storage medium, as ROM/RAM, disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1., based on a Measure blood pressure method for radial artery pulse wave conduction time, it is characterized in that, comprising:
Gather radial artery pulse wave signal by photoelectric sensor, successively filter and amplification, AD conversion are carried out to described radial artery pulse wave signal, obtains the first radial artery pulse wave signal;
Frequency domain transform, wavelet denoise and second differnce computing are carried out to described first radial artery pulse wave signal, the crest of the starting point of acquisition Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point;
According to crest and the pulse wave decent minimum point of the starting point of described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave, calculate the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively;
According to described SPPT and systolic pressure is linear and described DPPT, pulse cycle and diastolic pressure are linear, carry out regression analysis respectively and obtain corresponding regression coefficient and constant, and then obtain systolic pressure and diastolic pressure.
2. as claimed in claim 1 based on the Measure blood pressure method of radial artery pulse wave conduction time, it is characterized in that, the crest of the described starting point according to described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point, calculate the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively and be specially:
According to crest and the pulse wave decent minimum point of the starting point of described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave, to the time occurred described aortic valve closing point as the first Pulse transit time DPPT using the starting point from described Ve, using from described aortic valve closing point to the time occurred described pulse wave decent minimum point as the second Pulse transit time SPPT, using the interval at adjacent two main wave-wave peaks as pulse cycle.
3. as claimed in claim 1 based on the Measure blood pressure method of radial artery pulse wave conduction time, it is characterized in that, described according to described SPPT and systolic pressure is linear and described DPPT, pulse cycle and diastolic pressure are linear, carry out regression analysis respectively and obtain corresponding regression coefficient and constant, and then obtain systolic pressure and diastolic pressure and be specially:
Linear according to described SPPT and systolic pressure SBP, take SBP as dependent variable, with to described SPPT for independent variable, carry out gradually linear regression analysis, the characteristic equation of the systolic pressure that stepwise regression analysis obtains is:
SBP＝a+b*SPPT
Wherein, a, b are fitting coefficient;
Linear according to described DPPT, pulse cycle and diastolic pressure, take DBP as dependent variable, with to described DPPT and pulse cycle for independent variable, carry out gradually linear regression analysis, the characteristic equation of the diastolic pressure that stepwise regression analysis obtains is:
DBP＝e+f*(DPPT*T)
Wherein, e, f are fitting coefficient, and T is pulse cycle.
4. as claimed in claim 1 based on the Measure blood pressure method of radial artery pulse wave conduction time, it is characterized in that, described radial artery pulse wave signal is specially and adopts comfort for sitting posture mode to collect.
5. the Measure blood pressure device based on radial artery pulse wave conduction time, comprise microprocessor, the memory module be connected with described microprocessor, wireless communication module, display module, with computer communication interface module, battery, power management module and photoelectric sensor, it is characterized in that, described microprocessor comprises:
First processing unit, for gathering radial artery pulse wave signal by photoelectric sensor, carrying out filter and amplification, AD conversion successively to described radial artery pulse wave signal, obtaining the first radial artery pulse wave signal;
Second processing unit, for carrying out frequency domain transform, wavelet denoise and second differnce computing to described first radial artery pulse wave signal, the crest of the starting point of acquisition Ve, main wave-wave peak, aortic valve closing point, dicrotic wave and pulse wave decent minimum point;
3rd processing unit, for crest and the pulse wave decent minimum point of the starting point according to described Ve, main wave-wave peak, aortic valve closing point, dicrotic wave, calculate the first Pulse transit time DPPT, the second Pulse transit time SPPT and pulse cycle respectively;
Blood pressure acquiring unit, for according to described SPPT and systolic pressure is linear and described DPPT, pulse cycle and diastolic pressure are linear, carries out regression analysis respectively and obtains corresponding regression coefficient and constant, and then obtains systolic pressure and diastolic pressure.
6. as claimed in claim 5 based on the Measure blood pressure device of radial artery pulse wave conduction time, it is characterized in that, described 3rd processing unit is specifically for the starting point according to described Ve, main wave-wave peak, aortic valve closing point, the crest of dicrotic wave and pulse wave decent minimum point, to the time occurred described aortic valve closing point as the first Pulse transit time DPPT using the starting point from described Ve, using from described aortic valve closing point to the time occurred described pulse wave decent minimum point as the second Pulse transit time SPPT, using the interval at adjacent two main wave-wave peaks as pulse cycle.
7. as claimed in claim 5 based on the Measure blood pressure device of radial artery pulse wave conduction time, it is characterized in that, described blood pressure acquiring unit is specifically for linear according to described SPPT and systolic pressure SBP, take SBP as dependent variable, with to described SPPT for independent variable, carry out gradually linear regression analysis, the characteristic equation of the systolic pressure that stepwise regression analysis obtains is:
SBP＝a+b*SPPT
Wherein, a, b are fitting coefficient;
Linear according to described DPPT, pulse cycle and diastolic pressure, take DBP as dependent variable, with to described DPPT and pulse cycle for independent variable, carry out gradually linear regression analysis, the characteristic equation of the diastolic pressure that stepwise regression analysis obtains is:
DBP＝e+f*(DPPT*T)
Wherein, e, f are fitting coefficient, and T is pulse cycle.
8. as claimed in claim 6 based on the Measure blood pressure device of radial artery pulse wave conduction time, it is characterized in that, described radial artery pulse wave signal is specially and adopts comfort for sitting posture mode to collect.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410587260.3A CN104382571B (en) | 2014-10-28 | 2014-10-28 | A kind of measurement blood pressure method and device based on radial artery pulse wave conduction time |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410587260.3A CN104382571B (en) | 2014-10-28 | 2014-10-28 | A kind of measurement blood pressure method and device based on radial artery pulse wave conduction time |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104382571A true CN104382571A (en) | 2015-03-04 |
| CN104382571B CN104382571B (en) | 2017-06-16 |
Family
ID=52600613
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410587260.3A Active CN104382571B (en) | 2014-10-28 | 2014-10-28 | A kind of measurement blood pressure method and device based on radial artery pulse wave conduction time |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104382571B (en) |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105105733A (en) * | 2015-08-14 | 2015-12-02 | 姚丽峰 | Blood pressure measuring system and method capable of implementing continuous tracking on blood pressure value |
| CN106264504A (en) * | 2016-09-30 | 2017-01-04 | 西安邮电大学 | Noninvasive Blood Pressure Measurement System based on finger arteriogram and method |
| WO2017005016A1 (en) * | 2015-07-03 | 2017-01-12 | Vita-Course Technologies Co., Ltd | System and method for physiological parameter monitoring |
| CN106377238A (en) * | 2016-11-22 | 2017-02-08 | 浙江脉联医疗设备有限公司 | Correcting method for pulse wave propagation time related to diastolic pressure |
| CN106580303A (en) * | 2016-11-22 | 2017-04-26 | 浙江脉联医疗设备有限公司 | Method for correcting systolic pressure-related pulse wave propagation time |
| WO2017193593A1 (en) * | 2016-05-11 | 2017-11-16 | 广州视源电子科技股份有限公司 | Method and apparatus for measuring blood pressure |
| CN107669249A (en) * | 2017-10-27 | 2018-02-09 | 上海斐讯数据通信技术有限公司 | A kind of method and system of electronic scale detection human body artery hardening |
| WO2018095083A1 (en) * | 2016-11-22 | 2018-05-31 | 浙江脉联医疗设备有限公司 | Pulse wave propagation time correction method |
| CN108926334A (en) * | 2017-05-26 | 2018-12-04 | 深圳市玉成创新科技有限公司 | Blood pressure acquisition methods and its system and device based on pulse wave |
| CN109549639A (en) * | 2017-09-26 | 2019-04-02 | 郑昕 | A kind of pulse wave pressure and blood pressure measurement device and measurement method |
| CN109833034A (en) * | 2017-11-24 | 2019-06-04 | 深圳市岩尚科技有限公司 | The method and device of blood pressure data is extracted in a kind of pulse wave signal |
| CN110226924A (en) * | 2019-05-21 | 2019-09-13 | 华中科技大学 | A kind of wearable blood pressure monitoring device and method |
| CN110403579A (en) * | 2018-04-28 | 2019-11-05 | 深圳市大耳马科技有限公司 | A kind of pulse transit parameter measurement system and method |
| US10799127B2 (en) | 2015-03-31 | 2020-10-13 | Vita-Course Technologies Co., Ltd. | System and method for physiological parameter monitoring |
| CN111839717A (en) * | 2020-07-27 | 2020-10-30 | 哈尔滨医科大学 | System for real-time display of trans-aortic valve pressure in room interval ablation |
| CN112089405A (en) * | 2020-08-26 | 2020-12-18 | 上海大学 | Pulse wave characteristic parameter measuring and displaying device |
| CN112220449A (en) * | 2019-07-15 | 2021-01-15 | 爱科维申科技（天津）有限公司 | Photoelectric chicken embryo activity detection device and method |
| CN112890790A (en) * | 2021-01-22 | 2021-06-04 | 浙江大学 | Wearable noninvasive dynamic blood pressure tracking and monitoring method |
| CN114010167A (en) * | 2021-11-25 | 2022-02-08 | 中山大学 | Pulse wave fitting method based on Weibull function |
| US11672430B2 (en) | 2015-01-04 | 2023-06-13 | Vita-Course Technologies Co., Ltd. | System and method for health monitoring |
Citations (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 |
| US20090018422A1 (en) * | 2007-06-12 | 2009-01-15 | Triage Wireless, Inc. | Vital sign monitor for cufflessly measuring blood pressure using a pulse transit time corrected for vascular index |
| US20130296723A1 (en) * | 2012-05-03 | 2013-11-07 | Samsung Electronics Co., Ltd. | Portable blood pressure measuring apparatus and blood pressure measuring method in portable terminal |
| JP2014000105A (en) * | 2012-06-15 | 2014-01-09 | Univ Of Tokyo | Non-invasive, continuous blood pressure monitoring method and apparatus |
| US20140066788A1 (en) * | 2012-08-28 | 2014-03-06 | Board Of Trustees Of Michigan State University | Methods and apparatus for determining pulse transit time as a function of blood pressure |
| CN103876723A (en) * | 2014-04-01 | 2014-06-25 | 江苏理工学院 | Method of obtaining blood pressure value by noninvasive radial artery wave calculating pulse wave transmission time |
| CN103908236A (en) * | 2013-05-13 | 2014-07-09 | 天津点康科技有限公司 | Automatic blood pressure measuring system |
| US20140236031A1 (en) * | 2013-02-20 | 2014-08-21 | Perminova Inc. | Necklace-shaped physiological monitor |
| CN104173036A (en) * | 2014-09-11 | 2014-12-03 | 重庆大学 | Pulse wave acquisition device, and non-invasive blood pressure continuous beat-to-beat measuring system and method |
-
2014
- 2014-10-28 CN CN201410587260.3A patent/CN104382571B/en active Active
Patent Citations (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 |
| US20090018422A1 (en) * | 2007-06-12 | 2009-01-15 | Triage Wireless, Inc. | Vital sign monitor for cufflessly measuring blood pressure using a pulse transit time corrected for vascular index |
| US20130296723A1 (en) * | 2012-05-03 | 2013-11-07 | Samsung Electronics Co., Ltd. | Portable blood pressure measuring apparatus and blood pressure measuring method in portable terminal |
| JP2014000105A (en) * | 2012-06-15 | 2014-01-09 | Univ Of Tokyo | Non-invasive, continuous blood pressure monitoring method and apparatus |
| US20140066788A1 (en) * | 2012-08-28 | 2014-03-06 | Board Of Trustees Of Michigan State University | Methods and apparatus for determining pulse transit time as a function of blood pressure |
| US20140236031A1 (en) * | 2013-02-20 | 2014-08-21 | Perminova Inc. | Necklace-shaped physiological monitor |
| CN103908236A (en) * | 2013-05-13 | 2014-07-09 | 天津点康科技有限公司 | Automatic blood pressure measuring system |
| CN103876723A (en) * | 2014-04-01 | 2014-06-25 | 江苏理工学院 | Method of obtaining blood pressure value by noninvasive radial artery wave calculating pulse wave transmission time |
| CN104173036A (en) * | 2014-09-11 | 2014-12-03 | 重庆大学 | Pulse wave acquisition device, and non-invasive blood pressure continuous beat-to-beat measuring system and method |
Cited By (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11672430B2 (en) | 2015-01-04 | 2023-06-13 | Vita-Course Technologies Co., Ltd. | System and method for health monitoring |
| US11185242B2 (en) | 2015-03-31 | 2021-11-30 | Vita-Course Technologies (Hainan) Co., Ltd. | System and method for physiological feature derivation |
| US10799127B2 (en) | 2015-03-31 | 2020-10-13 | Vita-Course Technologies Co., Ltd. | System and method for physiological parameter monitoring |
| US11957440B2 (en) | 2015-03-31 | 2024-04-16 | Vita-Course Technologies Co., Ltd. | System and method for physiological parameter monitoring |
| US11712168B2 (en) | 2015-03-31 | 2023-08-01 | Vita-Course Technoloaies (Hainan) Co., Ltd. | System and method for physiological feature derivation |
| US11540735B2 (en) | 2015-03-31 | 2023-01-03 | Vita-Course Technologies Co., Ltd. | System and method for physiological parameter monitoring |
| US11134853B2 (en) | 2015-03-31 | 2021-10-05 | Vita-Course Technologies Co., Ltd. | System and method for blood pressure monitoring |
| US10932680B2 (en) | 2015-03-31 | 2021-03-02 | Vita-Course Technologies Co., Ltd. | System and method for physiological parameter monitoring |
| WO2017005016A1 (en) * | 2015-07-03 | 2017-01-12 | Vita-Course Technologies Co., Ltd | System and method for physiological parameter monitoring |
| CN105105733A (en) * | 2015-08-14 | 2015-12-02 | 姚丽峰 | Blood pressure measuring system and method capable of implementing continuous tracking on blood pressure value |
| WO2017193593A1 (en) * | 2016-05-11 | 2017-11-16 | 广州视源电子科技股份有限公司 | Method and apparatus for measuring blood pressure |
| CN106264504A (en) * | 2016-09-30 | 2017-01-04 | 西安邮电大学 | Noninvasive Blood Pressure Measurement System based on finger arteriogram and method |
| CN106377238B (en) * | 2016-11-22 | 2018-03-06 | 浙江脉联医疗设备有限公司 | The bearing calibration of the pulse wave propagation time related to diastolic pressure |
| CN106580303B (en) * | 2016-11-22 | 2018-03-06 | 浙江脉联医疗设备有限公司 | The bearing calibration of the pulse wave propagation time related to systolic pressure |
| CN106377238A (en) * | 2016-11-22 | 2017-02-08 | 浙江脉联医疗设备有限公司 | Correcting method for pulse wave propagation time related to diastolic pressure |
| WO2018095083A1 (en) * | 2016-11-22 | 2018-05-31 | 浙江脉联医疗设备有限公司 | Pulse wave propagation time correction method |
| WO2018095291A1 (en) * | 2016-11-22 | 2018-05-31 | 浙江脉联医疗设备有限公司 | Correction method for pulse wave propagation time related to diastolic blood pressure and systolic blood pressure |
| CN106580303A (en) * | 2016-11-22 | 2017-04-26 | 浙江脉联医疗设备有限公司 | Method for correcting systolic pressure-related pulse wave propagation time |
| CN108926334A (en) * | 2017-05-26 | 2018-12-04 | 深圳市玉成创新科技有限公司 | Blood pressure acquisition methods and its system and device based on pulse wave |
| CN109549639A (en) * | 2017-09-26 | 2019-04-02 | 郑昕 | A kind of pulse wave pressure and blood pressure measurement device and measurement method |
| CN107669249A (en) * | 2017-10-27 | 2018-02-09 | 上海斐讯数据通信技术有限公司 | A kind of method and system of electronic scale detection human body artery hardening |
| CN109833034A (en) * | 2017-11-24 | 2019-06-04 | 深圳市岩尚科技有限公司 | The method and device of blood pressure data is extracted in a kind of pulse wave signal |
| CN110403579B (en) * | 2018-04-28 | 2022-08-19 | 深圳市大耳马科技有限公司 | Pulse wave conduction parameter measuring system and method |
| CN110403579A (en) * | 2018-04-28 | 2019-11-05 | 深圳市大耳马科技有限公司 | A kind of pulse transit parameter measurement system and method |
| CN110226924A (en) * | 2019-05-21 | 2019-09-13 | 华中科技大学 | A kind of wearable blood pressure monitoring device and method |
| CN112220449A (en) * | 2019-07-15 | 2021-01-15 | 爱科维申科技（天津）有限公司 | Photoelectric chicken embryo activity detection device and method |
| CN112220449B (en) * | 2019-07-15 | 2023-09-15 | 爱科维申科技（天津）有限公司 | Photoelectric chicken embryo survival detection device and method |
| CN111839717B (en) * | 2020-07-27 | 2021-06-18 | 哈尔滨医科大学 | System for real-time display of trans-aortic valve pressure in room interval ablation |
| CN111839717A (en) * | 2020-07-27 | 2020-10-30 | 哈尔滨医科大学 | System for real-time display of trans-aortic valve pressure in room interval ablation |
| CN112089405B (en) * | 2020-08-26 | 2023-03-14 | 上海大学 | Pulse wave characteristic parameter measuring and displaying device |
| CN112089405A (en) * | 2020-08-26 | 2020-12-18 | 上海大学 | Pulse wave characteristic parameter measuring and displaying device |
| CN112890790B (en) * | 2021-01-22 | 2022-03-15 | 浙江大学 | Wearable noninvasive dynamic blood pressure tracking and monitoring method |
| CN112890790A (en) * | 2021-01-22 | 2021-06-04 | 浙江大学 | Wearable noninvasive dynamic blood pressure tracking and monitoring method |
| CN114010167A (en) * | 2021-11-25 | 2022-02-08 | 中山大学 | Pulse wave fitting method based on Weibull function |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104382571B (en) | 2017-06-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104382571A (en) | Method and device for measuring blood pressure upon radial artery pulse wave conduction time | |
| CN105943005B (en) | The non-invasive blood pressure detection device mixed based on photoelectricity green light pulse with electrocardiogram | |
| CN103892818B (en) | A kind of non-invasive central arterial blood pressure measuring method and equipment | |
| CN103690152B (en) | A kind of arterial elasticity apparatus for evaluating based on pulse analytical | |
| CN204708828U (en) | A kind of wearable noinvasive arterial health checkout gear | |
| CN110338813B (en) | Noninvasive blood glucose detection method based on spectrum analysis | |
| CN103479343B (en) | Central aortic pressure detection system and method based on oscillating sphygmomanometer signals | |
| CN112089405B (en) | Pulse wave characteristic parameter measuring and displaying device | |
| CN106264504A (en) | Noninvasive Blood Pressure Measurement System based on finger arteriogram and method | |
| CN101919704B (en) | Heart sound signal positioning and segmenting method | |
| CN204121004U (en) | A kind of pulse diagnostic information acquisition device in conjunction with multiple pressure-type sensor | |
| CN103876723A (en) | Method of obtaining blood pressure value by noninvasive radial artery wave calculating pulse wave transmission time | |
| JP2015508693A (en) | Method for processing a signal representing a physiological rhythm | |
| TW201711628A (en) | Heart rate detection method and heart rate detection device | |
| John et al. | A multimodal data fusion technique for heartbeat detection in wearable IoT sensors | |
| CN202960481U (en) | Traditional Chinese medicine pulse condition acquisition device | |
| CN204909917U (en) | Intelligent sheet of sleep guardianship and medical diagnosis based on cloth sensor | |
| CN104068841B (en) | A kind of measuring method and device measuring Indices of Systolic Time parameter | |
| CN102657525A (en) | Nondestructive detection system and method of cardiac function | |
| CN208511016U (en) | A kind of vital sign comprehensive detection analysis system | |
| CN201308483Y (en) | Elastic dynamic detection device for arterial vessel | |
| US20230020419A1 (en) | Non-invasive type electrocardiogram monitoring device and method | |
| CN107811619B (en) | Portable pulse diagnosis instrument and analysis method thereof | |
| CN114145725B (en) | PPG sampling rate estimation method based on noninvasive continuous blood pressure measurement | |
| CN113576438A (en) | Non-invasive blood pressure extraction method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160329 Address after: The central Shenzhen city of Guangdong Province, 518000 Keyuan Road, Nanshan District science and Technology Park No. 15 Kexing Science Park Building 1 unit A No. 505 unit Applicant after: Shenzhen ties up hundred million soul Science and Technology Ltd.s Address before: 518000 Guangdong city of Shenzhen province Nanshan District science and Technology Park Keyuan Road No. 15 Kexing Science Park building 505 A1 Applicant before: Li Jiuchao |
|
| GR01 | Patent grant |