CN110353646A - Contactless heart rate detection method - Google Patents
Contactless heart rate detection method Download PDFInfo
- Publication number
- CN110353646A CN110353646A CN201910692242.4A CN201910692242A CN110353646A CN 110353646 A CN110353646 A CN 110353646A CN 201910692242 A CN201910692242 A CN 201910692242A CN 110353646 A CN110353646 A CN 110353646A
- Authority
- CN
- China
- Prior art keywords
- heart rate
- camera
- image
- volumetric blood
- blood pulse
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 239000008280 blood Substances 0.000 claims abstract description 24
- 210000004369 blood Anatomy 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 13
- 230000008859 change Effects 0.000 claims abstract description 6
- 239000000284 extract Substances 0.000 claims abstract description 5
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 4
- 230000015556 catabolic process Effects 0.000 claims abstract description 4
- 210000004709 eyebrow Anatomy 0.000 claims abstract description 4
- 210000001061 forehead Anatomy 0.000 claims abstract description 4
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 4
- 238000001914 filtration Methods 0.000 claims description 6
- 210000001367 artery Anatomy 0.000 claims description 5
- 230000009466 transformation Effects 0.000 claims description 5
- 238000012512 characterization method Methods 0.000 claims description 3
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 238000005286 illumination Methods 0.000 claims description 3
- 210000003462 vein Anatomy 0.000 claims description 3
- 238000005259 measurement Methods 0.000 abstract description 6
- 210000003128 head Anatomy 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000036772 blood pressure Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000013186 photoplethysmography Methods 0.000 description 2
- 230000010349 pulsation Effects 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 206010003658 Atrial Fibrillation Diseases 0.000 description 1
- 208000007811 Latex Hypersensitivity Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 239000000853 adhesive Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 238000010009 beating Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000009530 blood pressure measurement Methods 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- BCAARMUWIRURQS-UHFFFAOYSA-N dicalcium;oxocalcium;silicate Chemical compound [Ca+2].[Ca+2].[Ca]=O.[O-][Si]([O-])([O-])[O-] BCAARMUWIRURQS-UHFFFAOYSA-N 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
-
- 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
-
- 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
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
Abstract
The invention discloses contactless heart rate detection methods, comprising the following steps: is used as area-of-interest around the forehead place between the eyebrows of detected person in interception video, extracts volumetric blood pulse wave signal；It is different spatial resolutions by each frame picture breakdown of the video of shooting, amplify color change, it synthesizes to obtain final image by image composing technique, and gray average is sought to the every frame region of interest area image of the final image of synthesis, gray average is depicted as with the variation waveform of frame series, obtains volumetric blood pulse waveform；Noise is carried out to obtained volumetric blood pulse waveform using wavelet basis function to reconstruct, and FFT transform is carried out to the volumetric blood pulse waveform of reconstruct, obtains its spectrogram, the corresponding frequency of energy maximum is the frequency of heart rate in frequency domain.The present invention realizes the non-contact detection of general industry camera or camera, and measurement result accuracy is high, easy to detect, can satisfy the demand of daily heart rate detection.
Description
Technical field
The present invention relates to heart rate detection technical field, specially contactless heart rate detection method.
Background technique
The invention aims to provide a kind of contactless heart rate detection method, general industry camera or camera are used
Video acquisition is carried out, the signal of area-of-interest is extracted, by signal processing analysis, result is presented on the display device.
The technical solution most similar with the present invention has: 1, having artery using the method that traditional sensors carry out heart rate detection
Pressure application and electrocardiogram (electrocardiogram, ECG) method；Angiosthenia force method is pressurizeed using air pump to artery, and pressure is passed through
The pressure signal of sensor detection pulse beating is usually used in conjunction with blood pressure measurement to obtain heart rate；Electrocardiogram is remembered from body surface
The curvilinear figure of the variation of electrical activity produced by the heart recorded each cardiac cycle, passes through the available heart rate number of electrocardiographic wave
Value, accuracy is very high, and can obtain other a variety of electrocardiosignal parameters simultaneously.2, it is based on PPG
The method that (Photoplethysmography, contact photoelectric volume pulsation wave graphical method) technology carries out heart rate detection has pulse
BOLD contrast and electronic blood pressure sphygmometer measure heart rate, and what both the above method measured is that heart per minute effectively beats and generates arteries and veins
The number fought, i.e. pulse frequency；The pulse frequency of general health people is numerically equal with heart rate, but certain special circumstances will lead to arteries and veins
Rate and heart rate are inconsistent, if atrial fibrillation patient has pulse deficit symptom, are in the presence of that pulse frequency is less than heart rate；Intelligent hand in recent years
Machine utilizes included camera and flash application Instant Heart Rate software by finger flicking above, and 10 seconds or so
Heart rate can be shown on the screen.
Wherein, the shortcomings that carrying out the method for heart rate detection using traditional sensors is: the equipment of needs is complex, uses
When cuff or the placement of electrode need health care professional to operate, the position of measured, posture are required in measurement process tight
Lattice are not suitable for daily monitoring.
The shortcomings that carrying out the method for heart rate detection based on PPG technology is: contact type measurement has using limitation, such as big face
Product empyrosis patient can not carry out contact type measurement, the delicate injury for being easy to be popped one's head in by adhesive type of newborn skin, part
Skin sensitivity person may be to the alite paste or rubber allergy etc. on probe.Secondly, contact probe and tested position it
Between pressure size also will affect the accuracy of measurement result.In addition, part measured be physically placed after instrument due to
Anxiety will lead to physical signs and change, such as increased heart rate, blood pressure increase, under the result and measured's daily state that measure
It is variant, influence doctor's judgement.
Summary of the invention
The purpose of the present invention is to provide contactless heart rate detection methods, to solve mentioned above in the background art ask
Topic.
To achieve the above object, the invention provides the following technical scheme: contactless heart rate detection method, including following step
It is rapid:
Step 1: selecting industry camera or camera；
Step 2: detected person stands at 1-1.5 meters of positions of camera or camera, and detected person's face face is taken the photograph
It as head or camera, remain stationary, enables industry camera or camera records face's video of one section of detected person；
Step 3: being used as area-of-interest around the forehead place between the eyebrows of detected person in interception video, extract volumetric blood pulse
Wave signal；
Step 4: being different spatial resolutions by each frame picture breakdown of the video of shooting, amplify color change, base
Space filtering is carried out in gaussian pyramid, synthesizes to obtain final image by image composing technique, and to the final figure of synthesis
As every frame region of interest area image seeks gray average, change the illumination of characterization reflected light according to the gray average of area-of-interest
The variation of intensity is depicted as gray average with the variation waveform of frame series, obtains volumetric blood pulse waveform；
Step 5: noise is carried out to the obtained volumetric blood pulse waveform of step 4 using wavelet basis function and is reconstructed,
And FFT (Fast Fourier Transformation, fast Fourier transform) is carried out to the volumetric blood pulse waveform of reconstruct
Transformation, obtains its spectrogram, the corresponding frequency of energy maximum is the frequency of heart rate in frequency domain；
Step 6: the spectrogram of heart rate value and heart rate is shown in equipment in a manner of number and figure.
Further, in step 4, time domain bandpass filtering treatment is carried out to the image of the different spatial resolutions, mentioned
The 0.5-4Hz band of interest for taking normal person's palmic rate amplifies interested 0.5-4Hz band signal.
Further, the image of amplified different spatial resolutions original image corresponding with its is added, and
It synthesizes the image of variant spatial resolution to obtain final image.
Further, obtained volumetric blood pulse waveform different frequency ranges is decomposed into using wavelet basis function to believe
Number, the signal characteristic after decomposition is analyzed, setting threshold value inhibits noise contribution therein, believes frequency range interested
It number is reconstructed, the volumetric blood pulse waveform after obtaining removal noise.
Compared with prior art, the beneficial effects of the present invention are: utilizing IPPG (image
Photoplethysmography, contactless to be based on image light Power Capacity pulse tracing) technology, it is taken the photograph using general industry
It will be tested as the video capture devices such as head or camera acquire one section of video to tested position by certain signal processing
Variation waveform (i.e. the variation waveform of the reflection light intensity) presentation of position brightness obtains volumetric blood pulse waveform, from blood
Heart rate is obtained in volume pulsation wave waveform, realizes the non-contact detection of general industry camera or camera, measurement result is quasi-
Exactness is high, easy to detect, can satisfy the demand of daily heart rate detection.
Detailed description of the invention
Fig. 1 is the contactless heart rate detection method flow chart of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, a kind of embodiment provided by the invention: contactless heart rate detection method, comprising the following steps:
Step 1: selecting industry camera or camera；
Step 2: detected person stands at 1-1.5 meters of positions of camera or camera, and detected person's face face is taken the photograph
It as head or camera, remain stationary, enables industry camera or camera records face's video of one section of detected person；
Step 3: being used as area-of-interest around the forehead place between the eyebrows of detected person in interception video, extract volumetric blood pulse
Wave signal；
Step 4: being different spatial resolutions by each frame picture breakdown of the video of shooting, amplify color change, base
Space filtering is carried out in gaussian pyramid, time domain bandpass filtering treatment is carried out to the image of the different spatial resolutions, is mentioned
The 0.5-4Hz band of interest for taking normal person's palmic rate amplifies interested 0.5-4Hz band signal, after amplification
Image original images corresponding with its of different spatial resolutions be added, and the image of variant spatial resolution is synthesized
Final image is obtained, and gray average is sought to the every frame region of interest area image of the final image of synthesis, according to area-of-interest
Gray average variation characterization reflected light intensity of illumination variation, be depicted as gray average with the variation waveform of frame series, obtain
To volumetric blood pulse waveform；
Step 5: noise is carried out to the obtained volumetric blood pulse waveform of step 4 using wavelet basis function and is reconstructed,
Obtained volumetric blood pulse waveform is decomposed into different frequency band signals using wavelet basis function, it is special to the signal after decomposition
Point is analyzed, and setting threshold value inhibits noise contribution therein, is reconstructed, is removed to frequency band signals interested
Volumetric blood pulse waveform after noise, and FFT (Fast Fourier is carried out to the volumetric blood pulse waveform of reconstruct
Transformation, fast Fourier transform) transformation, its spectrogram is obtained, the corresponding frequency of energy maximum is in frequency domain
The frequency of heart rate；
Step 6: the spectrogram of heart rate value and heart rate is shown in equipment in a manner of number and figure.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
Claims (4)
1. contactless heart rate detection method, comprising the following steps:
Step 1: selecting industry camera or camera；
Step 2: detected person stands at 1-1.5 meters of positions of camera or camera, detected person's face face camera
Or camera, it remain stationary, enables industry camera or camera records face's video of one section of detected person；
Step 3: being used as area-of-interest around the forehead place between the eyebrows of detected person in interception video, extract volumetric blood pulse wave letter
Number；
Step 4: being different spatial resolutions by each frame picture breakdown of the video of shooting, amplify color change, based on height
This pyramid carries out space filtering, synthesizes to obtain final image by image composing technique, and every to the final image of synthesis
Frame region of interest area image seeks gray average, changes the intensity of illumination of characterization reflected light according to the gray average of area-of-interest
Variation, be depicted as gray average with the variation waveform of frame series, obtain volumetric blood pulse waveform；
Step 5: noise being carried out to the obtained volumetric blood pulse waveform of step 4 using wavelet basis function and is reconstructed, and is right
The volumetric blood pulse waveform of reconstruct carries out FFT (Fast Fourier Transformation, fast Fourier transform) and becomes
It changes, obtains its spectrogram, the corresponding frequency of energy maximum is the frequency of heart rate in frequency domain；
Step 6: the spectrogram of heart rate value and heart rate is shown in equipment in a manner of number and figure.
2. contactless heart rate detection method according to claim 1, it is characterised in that: in step 4, to the difference
The image of spatial resolution carries out time domain bandpass filtering treatment, extracts the 0.5-4Hz band of interest of normal person's palmic rate, right
Interested 0.5-4Hz band signal amplifies.
3. contactless heart rate detection method according to claim 2, it is characterised in that: the amplified different spaces
The image of resolution ratio original image corresponding with its is added, and the image of variant spatial resolution is synthesized and is finally schemed
Picture.
4. contactless heart rate detection method according to claim 1, it is characterised in that: will be obtained using wavelet basis function
Volumetric blood pulse waveform be decomposed into different frequency band signals, the signal characteristic after decomposition is analyzed, be arranged threshold value
Noise contribution therein is inhibited, frequency band signals interested are reconstructed, the volumetric blood arteries and veins after obtaining removal noise
It fights wave waveform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910692242.4A CN110353646A (en) | 2019-07-29 | 2019-07-29 | Contactless heart rate detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910692242.4A CN110353646A (en) | 2019-07-29 | 2019-07-29 | Contactless heart rate detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110353646A true CN110353646A (en) | 2019-10-22 |
Family
ID=68222026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910692242.4A Pending CN110353646A (en) | 2019-07-29 | 2019-07-29 | Contactless heart rate detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110353646A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111597891A (en) * | 2020-04-13 | 2020-08-28 | 浙江工业大学 | Heart rate detection method based on multi-scale video |
| CN113378681A (en) * | 2021-06-02 | 2021-09-10 | 联想(北京)有限公司 | Fatigue measurement method and device and computer readable medium |
| CN113951855A (en) * | 2021-02-01 | 2022-01-21 | 南京云思创智信息科技有限公司 | Non-contact heart rate measuring method based on human face |
| CN116491894A (en) * | 2022-11-09 | 2023-07-28 | 桂林电子科技大学 | Parkinson's disease identification method based on Euler image amplification algorithm |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103271744A (en) * | 2012-12-10 | 2013-09-04 | 中国人民解放军第一五二中心医院 | Non-contact oxyhemoglobin saturation measuring method based on imaging device |
| US20130342670A1 (en) * | 2012-06-20 | 2013-12-26 | Xerox Corporation | Continuous cardiac pulse rate estimation from multi-channel source video data with mid-point stitching |
| CN104771148A (en) * | 2015-05-10 | 2015-07-15 | 瞿浩正 | Pulse wave extraction method and acquisition system based on wavelet decomposition and reconstruction |
| CN106473750A (en) * | 2016-10-08 | 2017-03-08 | 西安电子科技大学 | Personal identification method based on photoplethysmographic optimal period waveform |
| CN108334868A (en) * | 2018-03-21 | 2018-07-27 | 华南师范大学 | A kind of pulse analysis method based on PPG signals and image enhancement |
| US20180214088A1 (en) * | 2016-09-24 | 2018-08-02 | Sanmina Corporation | System and method for obtaining health data using a neural network |
| CN109259749A (en) * | 2018-08-29 | 2019-01-25 | 南京邮电大学 | A kind of contactless method for measuring heart rate of view-based access control model camera |
-
2019
- 2019-07-29 CN CN201910692242.4A patent/CN110353646A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130342670A1 (en) * | 2012-06-20 | 2013-12-26 | Xerox Corporation | Continuous cardiac pulse rate estimation from multi-channel source video data with mid-point stitching |
| CN103271744A (en) * | 2012-12-10 | 2013-09-04 | 中国人民解放军第一五二中心医院 | Non-contact oxyhemoglobin saturation measuring method based on imaging device |
| CN104771148A (en) * | 2015-05-10 | 2015-07-15 | 瞿浩正 | Pulse wave extraction method and acquisition system based on wavelet decomposition and reconstruction |
| US20180214088A1 (en) * | 2016-09-24 | 2018-08-02 | Sanmina Corporation | System and method for obtaining health data using a neural network |
| CN106473750A (en) * | 2016-10-08 | 2017-03-08 | 西安电子科技大学 | Personal identification method based on photoplethysmographic optimal period waveform |
| CN108334868A (en) * | 2018-03-21 | 2018-07-27 | 华南师范大学 | A kind of pulse analysis method based on PPG signals and image enhancement |
| CN109259749A (en) * | 2018-08-29 | 2019-01-25 | 南京邮电大学 | A kind of contactless method for measuring heart rate of view-based access control model camera |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111597891A (en) * | 2020-04-13 | 2020-08-28 | 浙江工业大学 | Heart rate detection method based on multi-scale video |
| CN111597891B (en) * | 2020-04-13 | 2023-07-25 | 浙江工业大学 | Heart rate detection method based on multi-scale video |
| CN113951855A (en) * | 2021-02-01 | 2022-01-21 | 南京云思创智信息科技有限公司 | Non-contact heart rate measuring method based on human face |
| CN113378681A (en) * | 2021-06-02 | 2021-09-10 | 联想(北京)有限公司 | Fatigue measurement method and device and computer readable medium |
| CN116491894A (en) * | 2022-11-09 | 2023-07-28 | 桂林电子科技大学 | Parkinson's disease identification method based on Euler image amplification algorithm |
| CN116491894B (en) * | 2022-11-09 | 2024-02-27 | 桂林电子科技大学 | Parkinson's disease identification method based on Euler image amplification algorithm |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110353646A (en) | Contactless heart rate detection method | |
| US10285650B2 (en) | Heart monitoring device and method | |
| CN108186000B (en) | Real-time blood pressure monitoring system and method based on ballistocardiogram signal and photoelectric signal | |
| CN105105734B (en) | A kind of noninvasive continuous blood pressure measurement device based on cardiechema signals | |
| CN107854123B (en) | Sleeveless continuous blood pressure monitoring method and device | |
| CN108478203A (en) | A kind of blood pressure measuring method monitoring radar based on single vital sign | |
| CN111387959A (en) | Non-contact physiological parameter detection method based on IPPG | |
| Pan et al. | Variation of the Korotkoff stethoscope sounds during blood pressure measurement: Analysis using a convolutional neural network | |
| CN112233813A (en) | Non-contact non-invasive heart rate and respiration measurement method and system based on PPG | |
| CN109512409A (en) | A kind of cardiovascular health assessment device and its application method | |
| CN110236515A (en) | A kind of contactless heart rate detection method based on near-infrared video | |
| CN110236508A (en) | A kind of non-invasive blood pressure continuous monitoring method | |
| Ibrahim et al. | Continuous blood pressure monitoring using wrist-worn bio-impedance sensors with wet electrodes | |
| CN112294282A (en) | Self-calibration method of emotion detection device based on RPPG | |
| Allen et al. | Photoplethysmography (PPG): state-of-the-art methods and applications | |
| Chen et al. | Modulation model of the photoplethysmography signal for vital sign extraction | |
| CN113288092A (en) | Blood pressure detection method and terminal for extracting pulse wave based on video | |
| CN111839488A (en) | Non-invasive continuous blood pressure measuring device and method based on pulse wave | |
| CN111419208A (en) | Acceleration sensor-based unbound real-time heart rate monitoring method and system | |
| CN209770350U (en) | Cardiovascular health assessment device | |
| Ahmad et al. | A prototype of an integrated blood pressure and electrocardiogram device for multi-parameter physiologic monitoring | |
| TWI551266B (en) | Analyzing arterial pulse method and system thereof | |
| CN110353700A (en) | Contactless method for detecting blood oxygen saturation | |
| CN104027097A (en) | Vascular function noninvasive detecting method and device | |
| Varanini et al. | Cardiac and respiratory monitoring through non-invasive and contactless radar technique |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191022 |