CN105769151A - Multipoint pulse wave detection method and device - Google Patents
Multipoint pulse wave detection method and device Download PDFInfo
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- CN105769151A CN105769151A CN201610105270.8A CN201610105270A CN105769151A CN 105769151 A CN105769151 A CN 105769151A CN 201610105270 A CN201610105270 A CN 201610105270A CN 105769151 A CN105769151 A CN 105769151A
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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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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
- A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
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Abstract
The invention provides a multipoint pulse wave detection method and device.The method comprises the steps that two paths of pulse wave signals at the wrist of a human body are collected, the pulse wave signals are sequentially subjected to low-pass filtering, pulse signal cycle solving, periodical rectangular pulse construction and independent component analysis constraining, interference of motion artifacts in the pulse signals is eliminated, and pulse wave signals free of motion interference are obtained; meanwhile, a glove is adopted to serve as a carrier, reflecting optoelectronical sensors and a data transmission module are installed on the glove to collect and send the pulse wave signals, and a signal processing module in a mobile terminal receives the pulse wave signals and conducts corresponding artifact eliminating processing.The multipoint pulse wave detection method and device have the advantages that richer human body cardiovascular system physiological information can be obtained from the pulse wave signals, the motion artifacts in the signals can be well eliminated, and more pulse wave waveform characteristics can be recovered.
Description
Technical field
The invention belongs to medicine living organism vital signs detection technique field, the method and apparatus relating to a kind of multiple spot detection pulse.
Background technology
The contraction of human body ventricular cycle and diastole cause aortal contraction and diastole, make blood stream pressure start to propagate along whole Arterial system from aortic root with the form of ripple, and this ripple is called pulse wave.The integrated information of the aspects such as form, intensity, speed and the rhythm and pace of moving things that pulse wave presents, largely reflects the hemodynamics feature of many physiological and pathologicals in cardiovascular system of human body.It is possible not only to collect some physiological reference data and information of other physiological status such as blood flow, blood pressure by measuring pulse, and pulse wave itself is containing the reference information much with diagnostic value.
Photoplethysmographic as a kind of new pulse detection means, its physiological significance it is verified that.Photoplethysmographic contains the physiologic information that heart rate, blood pressure, hemodynamics and respiratory frequency etc. are abundant, if can successfully realize to the collection of photoplethysmographic under human motion state and analysis, then really realizing the wearable of pulse detecting device.
In recent years, domestic and international wearable device obtains quick development, and " wearable " has been no longer a concept.The development of material technology and sensor technology; the collection allowing multiple physiological signal is possibly realized; but it is because wearable device and is positioned in people's daily life to carry with; so the physiological signal collected can be subject to the interference of the various daily routines of human body unavoidably; the physiologic information making human body available in signal abundant greatly reduces, and this causes that a lot of wearable device can only become a kind of ornament.Therefore, the interference of motion how is suppressed to become an emphasis of wearable device research.
The collection of current wearable pulse wave signal focuses primarily upon a bit, is positioned at wrist place more, and wrist place muscle is relative with fat few, and radial artery is close to body surface, it is simple to the detection of photoplethysmographic.But the pulse wave signal just for a position detects, the cardiovascular system information not only contained is less, and is difficult to eliminate motion artifacts in pulse wave signal.Due to the interference of motion artifacts, pulse wave signal can wave character greatly reduce, cause current wearable pulse detection equipment that the acquisition of human body physiological parameter is confined to heart rate mostly, the assessment of human body cardiovascular physiology state is very limited.
Existing motion artifacts removing method mainly has: traditional frequency domain filtering, mobile mean filter, sef-adapting filter, time frequency analysis (small echo, empirical mode decomposition etc.), independent component analysis (ICA) etc., and the branch developed out on the basis of these algorithms.
Independent component analysis (ICA) is a kind of method utilizing Statistics to be calculated, and it is a linear transformation.This conversion becomes Signal separator the linear combination in the non-Gaussian signal source of statistical iteration.Owing to there being good statistical independence between pulse wave signal and motion artifacts, so isolating pulse wave signal by independent component analysis can reach good effect.Independent component analysis needs at least two-way observation signal just can extract the pulse composition in observation signal.
Summary of the invention
The present invention proposes a pulse wave of multiple points detection method and device, wrist place multipath pulse wave signal is obtained by multiple spot detection, the physiologic information of more abundant cardiovascular system of human body can not only be obtained from multiple signals, and independent composition analysis algorithm can be adopted to eliminate the motion artifacts in signal for multiple signals, extract normal pulse wave signal.
The present invention proposes a kind of pulse wave of multiple points detection method, is completed by following step:
A kind of multiple spot pulse detection method, it is characterised in that: realized by following step:
Step 1: the common two-way pulse wave signal of detection the area on the wrist over the radial artery where the pulse is felt for diagnosis cave, human body wrist place and two positions of Shenmen point.
Step 2: gather two-way pulse wave signal.
Step 3: two-way pulse wave signal is carried out low-pass filtering treatment, filters high-frequency noise therein.
Step 4: solve the auto-correlation function of a road pulse wave signal, obtain the cycle T of pulse wave signal.
Step 5: construction schedule is the square wave of T.
Step 6: using the square wave of structure as reference input, carries out constraint independent component analysis respectively, removes the motion artifacts in two-way pulse wave signal, obtain the pulse wave signal without motion artifacts filtered two-way pulse wave signal.
For the detecting device of above-mentioned multiple spot pulse detection method, including glove, reflective photoelectric sensor, data transmission module and signal processing module.Wherein, the wrist position of glove, it is pasted with two reflective photoelectric sensors；When, after wearing gloves, two reflective photoelectric sensors lay respectively at the area on the wrist over the radial artery where the pulse is felt for diagnosis cave and the Shenmen point position at human body wrist place.Described data transmission module is fixedly installed in the back of the hand place of glove, is used for gathering the two-way pulse wave signal that two reflective photoelectric sensors gather, and the two-way pulse wave signal of collection is changed into digital signal, send mobile terminal to by the mode of bluetooth.In mobile terminal, design has signal processing module, and for achieving a butt joint, the pulse wave signal received processes, including: filter the high-frequency noise in two-way pulse wave signal；Calculate the auto-correlation function of pulse wave signal, obtain the cycle of pulse wave signal construction schedule square wave；Using the cycle be T square wave as reference input, two-way pulse wave signal is carried out constraint independent composition analysis algorithm, it is achieved motion artifacts in pulse wave signal eliminates.
It is an advantage of the current invention that:
1, pulse wave of multiple points detection method of the present invention, by gathering wrist place multipath pulse wave signal, it is possible to obtain more abundant cardiovascular system of human body physiologic information from pulse wave signal；
2, pulse wave of multiple points detection method of the present invention, by the conjoint analysis of multipath pulse wave signal, it is possible to well eliminates the motion artifacts in signal, recovers more pulse waveform feature；
3, pulse wave of multiple points detecting device of the present invention; adopt the form of glove; wear Energy and comfort; daily routines without influence on wearer; can really realize the continuous detecting of pulse wave signal under kinestate; obtain the pulse wave signal without motion artifacts, provide stable signal source for the extraction of human body cardiovascular information in pulse wave signal.
Accompanying drawing explanation
Fig. 1 is pulse wave of multiple points detection method flow chart of the present invention；
Fig. 2 is the pulse wave signal with motion artifacts that pulse wave of multiple points detection method of the present invention gathers；
Fig. 3 is the pulse wave signal after the elimination motion artifacts that pulse wave of multiple points detection method of the present invention finally gives；
Fig. 4 is pulse wave of multiple points structure of the detecting device schematic diagram of the present invention.
In figure:
1-glove 2-reflective photoelectric sensor 3-data transmission module
4-signal processing module 5-mobile terminal
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Pulse wave of multiple points detection method of the present invention, as it is shown in figure 1, realize especially by following step:
Step 1: obtain the common two-way pulse wave signal in the area on the wrist over the radial artery where the pulse is felt for diagnosis cave, human body wrist place and two positions of Shenmen point.
Step 2: gather two-way pulse wave signal, but as in figure 2 it is shown, continuously acquire experimenter in the pulse wave signal of motor process, hence it is evident that it is subject to the interference of motion artifacts.
Step 3: two-way pulse wave signal is carried out low-pass filtering treatment, filters high-frequency noise therein.
Step 4: owing to the cycle of two-way pulse wave signal is identical, therefore solves the auto-correlation function of a wherein road pulse wave signal, obtains the cycle T of pulse wave signal.
Step 5: the pulse wave signal cycle T obtained according to step 4, construction schedule is T square wave.
Step 6: using the square wave that builds in step 5 as reference input, two-way pulse wave signal filtered in step 3 is carried out respectively constraint independent component analysis, remove the motion artifacts in two-way pulse wave signal, as shown in Figure 3, obtain the road pulse wave signal without motion artifacts, display in the terminal.
For a kind of pulse wave of multiple points detecting device of said method, including glove 1, reflective photoelectric sensor 2, data transmission module 3 and signal processing module 4, as shown in Figure 4.
Described glove 1 are worn for human body is daily；On the medial surface of glove 1, it is positioned at the wrist position of glove 1, is pasted with two reflective photoelectric sensors 2；When, after human body wearing gloves 1, two reflective photoelectric sensors 2 lay respectively at the area on the wrist over the radial artery where the pulse is felt for diagnosis cave and the Shenmen point position at human body wrist place.Above-mentioned glove 1 adopt motor type glove 1, its wrist position has the stretch band construction that can tighten, realize wearing fitting tightly between latter two reflective photoelectric sensor 2 and human body wrist skin at glove 1, gathered the pulse wave signal in the area on the wrist over the radial artery where the pulse is felt for diagnosis cave and two positions of Shenmen point by two reflective photoelectric sensors 2 respectively.Described data transmission module 3 is fixedly installed in the back of the hand place of glove 1, it is used for gathering the two-way pulse wave signal that two reflective photoelectric sensors 2 gather, and the two-way pulse wave signal of collection is changed into digital signal, the mobile terminal 5 (such as mobile phone or panel computer) such as send to by the mode of bluetooth.In described mobile terminal 5, design has signal processing module 4, and for achieving a butt joint, the pulse wave signal received processes, including: utilize low pass filter to filter the high-frequency noise in two-way pulse wave signal；Calculate the auto-correlation function of pulse wave signal, obtain the cycle of pulse wave signal, and with construction schedule square wave；Using the cycle be T square wave as reference input, two-way pulse wave signal is carried out constraint independent composition analysis algorithm, it is achieved motion artifacts in two-way pulse wave signal eliminates, and obtains the road pulse wave signal without motion artifacts.
In sum, pulse wave of multiple points detection method of the present invention and device, it is possible to the pulse wave signal of two positions, wrist place under detection kinestate, carries out constraint independent component analysis, successfully eliminates the motion artifacts in pulse wave signal two-way pulse wave signal.
Claims (2)
1. a pulse wave of multiple points detection method, it is characterised in that: realized by following step:
Step 1: the common two-way pulse wave signal of detection the area on the wrist over the radial artery where the pulse is felt for diagnosis cave, human body wrist place and two positions of Shenmen point；
Step 2: gather two-way pulse wave signal；
Step 3: two-way pulse wave signal is carried out low-pass filtering treatment, filters high-frequency noise therein；
Step 4: solve the auto-correlation function of a wherein road pulse wave signal, obtain the cycle T of pulse wave signal；
Step 5: construction schedule is the square wave of T；
Step 6: using the square wave of structure as reference input, carries out constraint independent component analysis respectively, removes the motion artifacts in two-way pulse wave signal, obtain the pulse wave signal without motion artifacts filtered two-way pulse wave signal.
2. for the detecting device of a kind of pulse wave of multiple points detection method described in claim 1, it is characterised in that include glove, reflective photoelectric sensor, data transmission module and signal processing module；
Wherein, the wrist position of glove, it is pasted with two reflective photoelectric sensors；When, after wearing gloves, two reflective photoelectric sensors lay respectively at the area on the wrist over the radial artery where the pulse is felt for diagnosis cave and the Shenmen point position at human body wrist place；
Described data transmission module is fixedly installed in the back of the hand place of glove, is used for gathering the two-way pulse wave signal that two reflective photoelectric sensors gather, and the two-way pulse wave signal of collection is changed into digital signal, send mobile terminal to by the mode of bluetooth；In mobile terminal, design has signal processing module, and for achieving a butt joint, the pulse wave signal received processes, including: filter the high-frequency noise in two-way pulse wave signal；Calculate the auto-correlation function of pulse wave signal, obtain the cycle of pulse wave signal construction schedule square wave；Using the cycle be T square wave as reference input, perform constraint independent composition analysis algorithm, it is achieved the motion artifacts in pulse wave signal eliminates.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106343987A (en) * | 2016-09-29 | 2017-01-25 | 中国科学院重庆绿色智能技术研究院 | Graphene multipoint pulse wave blood pressure monitoring intelligent wearing device |
| CN107157492A (en) * | 2017-05-19 | 2017-09-15 | 国家电网公司 | A kind of embedded human physiologic information non-invasive detection system and data processing method |
| CN107669253A (en) * | 2017-11-15 | 2018-02-09 | 中国科学院光电研究院 | Heart rate and respiratory rate measuring method based on optical spectrum imagers |
| CN108714023A (en) * | 2018-05-16 | 2018-10-30 | 清华大学深圳研究生院 | A kind of wearable pulse wave detecting system |
| CN111374646A (en) * | 2018-12-28 | 2020-07-07 | 清华大学 | Non-hardware-dependent pulse condition information acquisition system and method based on smart phone |
| CN112274121A (en) * | 2020-10-28 | 2021-01-29 | 河北工业大学 | Noninvasive arteriosclerosis detection method and device based on multipath pulse waves |
| CN113229788A (en) * | 2021-03-26 | 2021-08-10 | 中科院长春应化所黄埔先进材料研究院 | Pulse wave denoising method and device based on film pressure sensor |
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| US7120482B2 (en) * | 2002-11-18 | 2006-10-10 | Honda Motor Co., Ltd. | Optical measuring apparatus and method |
| CN103268717B (en) * | 2013-04-03 | 2015-05-20 | 漳州师范学院 | Remote teaching system based on biological signal |
| WO2015123606A2 (en) * | 2014-02-16 | 2015-08-20 | Boris Tverskoy | Method and apparatus for real-time non-invasive optical monitoring of decompression sickness state |
| CN104739395A (en) * | 2015-03-25 | 2015-07-01 | 华中科技大学 | Human blood pressure predicting method based on pulse waves |
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| CN106343987A (en) * | 2016-09-29 | 2017-01-25 | 中国科学院重庆绿色智能技术研究院 | Graphene multipoint pulse wave blood pressure monitoring intelligent wearing device |
| CN106343987B (en) * | 2016-09-29 | 2018-05-01 | 中国科学院重庆绿色智能技术研究院 | A kind of graphene pulse wave of multiple points monitoring of blood pressure intelligent wearable device |
| CN107157492A (en) * | 2017-05-19 | 2017-09-15 | 国家电网公司 | A kind of embedded human physiologic information non-invasive detection system and data processing method |
| CN107157492B (en) * | 2017-05-19 | 2023-06-02 | 国家电网公司 | Embedded human physiological information noninvasive detection system and data processing method |
| CN107669253A (en) * | 2017-11-15 | 2018-02-09 | 中国科学院光电研究院 | Heart rate and respiratory rate measuring method based on optical spectrum imagers |
| CN108714023A (en) * | 2018-05-16 | 2018-10-30 | 清华大学深圳研究生院 | A kind of wearable pulse wave detecting system |
| CN111374646A (en) * | 2018-12-28 | 2020-07-07 | 清华大学 | Non-hardware-dependent pulse condition information acquisition system and method based on smart phone |
| CN111374646B (en) * | 2018-12-28 | 2021-08-03 | 清华大学 | Non-hardware-dependent pulse condition information acquisition system and method based on smart phone |
| CN112274121A (en) * | 2020-10-28 | 2021-01-29 | 河北工业大学 | Noninvasive arteriosclerosis detection method and device based on multipath pulse waves |
| CN113229788A (en) * | 2021-03-26 | 2021-08-10 | 中科院长春应化所黄埔先进材料研究院 | Pulse wave denoising method and device based on film pressure sensor |
| CN113229788B (en) * | 2021-03-26 | 2022-07-19 | 广东粤港澳大湾区黄埔材料研究院 | Pulse wave denoising method and device based on film pressure sensor |
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Effective date of registration: 20210126 Address after: 212300 Danyang hi tech Pioneer Park Phase I, South Third Ring Road, Danyang City, Zhenjiang City, Jiangsu Province Patentee after: DANYANG HUICHUANG MEDICAL EQUIPMENT Co.,Ltd. Address before: 100191 No. 37, Haidian District, Beijing, Xueyuan Road Patentee before: BEIHANG University |