CN105662367A - Head-wearing type multi-point pulse wave detecting method and device - Google Patents
Head-wearing type multi-point pulse wave detecting method and device Download PDFInfo
- Publication number
- CN105662367A CN105662367A CN201610105696.3A CN201610105696A CN105662367A CN 105662367 A CN105662367 A CN 105662367A CN 201610105696 A CN201610105696 A CN 201610105696A CN 105662367 A CN105662367 A CN 105662367A
- Authority
- CN
- China
- Prior art keywords
- pulse wave
- signal
- ear
- road
- signals
- 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
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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
-
- 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
- A61B5/7203—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
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Physiology (AREA)
- Signal Processing (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Computer Networks & Wireless Communication (AREA)
- Cardiology (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The invention discloses a head-wearing type multi-point pulse wave detecting method and device. Six paths of pulse wave signals on the two sides of a human head are collected and sequentially subjected to low-pass filtering, pulse signal cycle obtaining, cycle matrix pulse establishing and constraint independent component analyzing, the interference of movement artifacts in pulse signals is eliminated, and pulse wave signals without movement interference are obtained. Meanwhile, a head-wearing and ear-clamping combined carrier is adopted, a reflecting type photoelectric sensor and a data transmitting module are installed on the carrier to collect and send pulse wave signals, and a signal processing module designed in a mobile terminal receives pulse wave signals and conducts corresponding artifact elimination. The method and device have the advantages that richer human cardiovascular system physiological information can be obtained from pulse wave signals, the movement artifacts in signals can be well eliminated, and more pulse wave waveform characteristics can be restored.
Description
Technical field
The present invention relates to the apparatus and method that a kind of wear-type pulse wave of multiple points detects, be applied to medicine living organism vital signs and detect skillArt field.
Background technology
The contraction of human body ventricular cycle and diastole cause aortal contraction and diastole, make blood stream pressure with the form of ripple from initiativelyArteries and veins root starts to propagate along whole arterial system, and this ripple is called pulse wave. Form, intensity, speed that pulse wave presentsThe integrated information of the aspect such as rate and the rhythm and pace of moving things, reflects the hemodynamic of many physiological and pathologicals in cardiovascular system of human body to a great extentLearn feature. Photoelectricity volume pulsation wave, as a kind of new pulse detection means, is containing heart rate, blood pressure, haemodynamics and is exhalingInhale the abundant physiologic informations such as frequency, its physiological significance is proved. And photoelectricity volume pulsation wave is easy to detect, signal matterMeasure, lower to the requirement of detection position, become an important means obtaining human pulse signal.
The collection of current wearable pulse signal mainly converges, and multidigit is in wrist place, because both hands are human body daily routinesIn one of the most used position, make the pulse signal at wrist place detect the interference that is easily subject to motion artifacts. Motion artifactsInterference make pulse signal can with wave character greatly reduce, cause current wearable pulse detection equipment to be joined Human PhysiologyObtaining of number is confined to heart rate mostly, very limited to the assessment of human body cardiovascular physiology state, therefore how to eliminate pulse signalIn motion artifacts, become an emphasis of current wearable Pulse signal analysis.
Existing motion artifacts removing method mainly contains: traditional frequency domain filtering, mobile mean filter, sef-adapting filter, time-frequencyAnalyze (small echo, empirical mode decomposition etc.), independent component analysis (ICA) etc., and develop out on the basis of these algorithmsBranch.
The radio-frequency component of traditional frequency domain filtering in can filtering motion artifacts, but because the frequency domain scope of motion artifacts is believed with pulseNumber frequency domain scope overlapped, so for the frequency content of lap, traditional frequency domain filter cannot filtering. MobileThe way of mean filter is on initial data basis, and a window is set, the initial data dropping in window is averaged,Can be regarded as the Trend value of window center. This algorithm is very effective for the elimination of noise, but dry for emergent stronger motionThe eradicating efficacy of disturbing is poor. Sef-adapting filter can be adjusted performance and carry out according to input signal the numeral of Digital Signal Processing automaticallyWave filter, the focusing on of sef-adapting filter chosen suitable reference input result fed back, reference input and quiltBetween reference signal, needing has good correlation. In practical application due to algorithm, the choosing of reference signal is subject to several factorsImpact, can not reach good correlation between echo signal and reference signal, causes the effect of adaptive-filtering to be subject to very large shadowRing. Time frequency analysis algorithm can provide the Joint Distribution information of time-domain and frequency domain, clearly describes signal frequency temporal evolutionRelation. Time frequency analysis can be eliminated motion artifacts to a certain extent, but which composition is the suitable threshold value of How to choose judgeNeed to be removed is a difficult point of time frequency analysis.
Independent component analysis (ICA) is a kind of method of utilizing Statistics to calculate, and it is a linear transformation. This changeChange signal is separated into and adds up the independently linear combination in non-Gaussian signal source. Fine owing to having between pulse signal and motion artifactsStatistical independence, can reach good effect so isolate pulse signal by independent component analysis. Independent component analysis needsAt least two-way observation signal just can extract the pulse composition in observation signal.
Summary of the invention
The present invention proposes a wear-type pulse wave of multiple points checkout gear, is detected and is obtained head multichannel pulse signal, no by multiple spotOnly can from multiple signals, obtain the physiologic information of abundanter cardiovascular system of human body, and can adopt for multiple signalsMotion artifacts in independent composition analysis algorithm erasure signal, extracts normal pulse wave signal.
1, a wear-type pulse wave of multiple points detection method, is characterized in that, realizes by following step:
Step 1: the left and right sides temple of human body head, side door, ear-lobe totally six measurement point Liu road pulse wave signals.
Step 2: gather six road pulse wave signals.
Step 3: Dui Liu road pulse wave signal carries out low-pass filtering treatment, filtering high-frequency noise wherein.
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 T square wave.
Step 6: using the square wave building as with reference to input, filtered six road pulse wave signals are retrained to independent elementAnalyze, remove the motion artifacts in six road pulse wave signals, obtain the pulse wave signal of a road without motion artifacts, at mobile terminalIn show.
For the checkout gear of above-mentioned wear-type pulse wave of multiple points detection method, comprise headband, ear clip, reflective photoelectric sensor,Data transmission module and signal processing module. Wherein, on headband, be installed with two reflective photoelectric sensors. When human body is wornWear after headband, two reflective photoelectric sensors installing on headband lay respectively at the temple position of the human body head left and right sides.Described ear clip is two, is worn on respectively human body left and right ear; On two ear clips, be all installed with two reflection-type photoelectric sensingsDevice, and wear after two ear clips when human body, the reflective photoelectric sensor on two ear clips lays respectively on the left ear of human body and auris dextraSide door, ear-lobe place; On data transmission module fixed installation headband, be used for gathering being total to of each reflective photoelectric sensor detectionSix road pulse wave signals, and collection Liu road pulse wave signal is changed into data signal, are sent to etc. and to be moved by the mode of bluetoothMoving terminal. In mobile terminal, be designed with signal processing module, the pulse wave signal of receiving that is used for achieving a butt joint is processed, and comprising:Utilize the high-frequency noise in low pass filter filtering six road pulse wave signals; The auto-correlation function that calculates pulse wave signal, obtains arteries and veinsFight cycle of ripple signal, and with construction schedule square wave; Square wave using the cycle as T, as with reference to input, enters pulse signalRow constraint independent composition analysis algorithm, the motion artifacts of realizing in pulse wave signal is eliminated, and obtains the pulse wave letter without motion artifactsNumber.
The invention has the advantages that:
1, wear-type pulse wave of multiple points detection method of the present invention, gathers head multichannel pulse signal, and then can be from pulse signalObtain abundanter cardiovascular system of human body physiologic information;
2, wear-type pulse wave of multiple points detection method of the present invention, by the Conjoint Analysis of multichannel pulse signal, can be good at eliminatingMotion artifacts in signal, recovers more pulse waveform feature;
3, wear-type pulse wave of multiple points checkout gear of the present invention, wears Energy and comfort, can not affect wearer's daily routines, energyEnough continuous detecting that really realizes pulse signal under motion state, obtain the pulse signal without motion artifacts, are people in pulse signalThe extraction of body-centered vessel information provides stable signal source.
Brief description of the drawings
Fig. 1 is wear-type pulse wave of multiple points detection method flow chart of the present invention;
Fig. 2 is that head six tunnels of wear-type pulse wave of multiple points detection method collection of the present invention are with the pulse wave signal of motion artifacts;
Fig. 3 is after wear-type pulse wave of multiple points detection method of the present invention is processed head six road pulse signals, the elimination finally obtainingMotion artifacts Hou mono-road pulse wave signal;
Fig. 4 is the integral module schematic diagram of wear-type pulse wave of multiple points checkout gear of the present invention;
In figure:
1-headband 2-ear clip 3-reflective photoelectric sensor
4-data transmission module 5-signal processing module 6-mobile terminal
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is described in further detail with enforcement.
The invention provides a kind of wear-type pulse wave of multiple points detection method, as shown in Figure 1, specifically realize by following step:
Step 1: the left and right sides temple, side door, ear-lobe totally six the measurement point Liu road pulse wave signals that obtain human body head;
Step 2: gather six road pulse wave signals, but as shown in Figure 2, obtain continuously the pulse wave letter of experimenter at motion processIn number, be obviously subject to the interference of motion artifacts.
Step 3: Dui Liu road pulse wave signal carries out low-pass filtering treatment, filtering high-frequency noise wherein.
Step 4: because the cycle of six road pulse wave signals is identical, therefore solve the wherein auto-correlation of any road pulse wave signalFunction, obtains the cycle T of pulse wave signal.
Step 5: the pulse wave signal cycle T obtaining according to step 4, construction schedule is T square wave.
Step 6: the square wave building in step 5 is inputted as reference, to filtered six road pulse wave signals in step 3Retrain independent component analysis, remove the motion artifacts in six road pulse wave signals, as shown in Figure 3, obtain a road without motionThe pulse wave signal disturbing shows in mobile terminal.
For a kind of wear-type pulse wave of multiple points checkout gear of said method, comprise headband 1, ear clip 2, reflection-type photoelectric sensingDevice 3, data transmission module 4 and signal processing module 5, as shown in Figure 4. Wherein, on headband 1, medial surface relative position is fixedTwo reflective photoelectric sensors 3 are installed; When human body is worn after headband 1, two reflecting light fax of installing on headband 1Sensor 3 lays respectively at the temple position of the human body head left and right sides, gathers respectively two by two reflective photoelectric sensors 3The pulse wave signal of individual temple position. Described ear clip 2 is two and is worn on respectively human body left and right ear; Equal on two ear clips 2Be installed with two reflective photoelectric sensors 3, and wear after two ear clips 2 when human body, reflective on two ear clips 2Photoelectric sensor 3 lays respectively at side door, the ear-lobe place on the left ear of human body and auris dextra, by the reflection type photoelectricity on two ear clips 2Sensor 3 gathers the pulse wave signal of side door and ear-lobe place on about human body and auris dextra.
Described data transmission module 4 fixedly mounts on headband 1, is used for gathering being total to that each reflective photoelectric sensor 3 gathersSix road pulse wave signals, and collection Liu road pulse wave signal is changed into data signal, are sent to etc. and to be moved by the mode of bluetoothMoving terminal 6 (as mobile phone or panel computer). In described mobile terminal 6, be designed with signal processing module 5, receipts are used for achieving a butt jointTo pulse wave signal process, comprising: utilize the high-frequency noise in low pass filter filtering six road pulse wave signals; CalculateThe auto-correlation function of pulse wave signal, obtains cycle of pulse wave signal, and with construction schedule square wave; Square taking the cycle as TShape ripple, as with reference to input, is carried out constraint independent composition analysis algorithm, and the motion artifacts of realizing in pulse wave signal is eliminated, and obtainsWithout the pulse wave signal of motion artifacts, and as input to constraint independent composition analysis algorithm with reference to signal, Dui Liu road pulse letterNumber process, therefrom eliminate motion artifacts, obtain the pulse signal without motion artifacts.
In sum, wear-type pulse wave of multiple points detection method of the present invention and device, can detect six positions of motion state head portionThe pulse signal of putting, comprehensive utilization six road pulse signals retrain independent component analysis, successfully eliminate the motion in pulse signalArtefact.
Claims (2)
1. a wear-type pulse wave of multiple points detection method, is characterized in that, realizes by following step:
Step 1: the left and right sides temple of human body head, side door, ear-lobe totally six measurement point Liu road pulse wave signals;
Step 2: gather six road pulse wave signals;
Step 3: Dui Liu road pulse wave signal carries out low-pass filtering treatment, filtering high-frequency noise wherein;
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 T square wave;
Step 6: using the square wave building as with reference to input, filtered six road pulse wave signals are retrained to independent elementAnalyze, remove the motion artifacts in six road pulse wave signals, obtain the pulse wave signal of a road without motion artifacts, at mobile terminalIn show.
2. for the checkout gear of a kind of wear-type pulse wave of multiple points detection method claimed in claim 1, it is characterized in that: bagDraw together headband, ear clip, reflective photoelectric sensor, data transmission module and signal processing module; Wherein, on headband, fixedly mountThere are two reflective photoelectric sensors; Wear after headband two reflective photoelectric sensors installing on headband position respectively when human bodyIn the temple position of the human body head left and right sides; Described ear clip is two, is worn on respectively human body left and right ear; Two ear clipsOn be all installed with two reflective photoelectric sensors, and wear after two ear clips the reflecting light on two ear clips when human bodyElectric transducer lays respectively at side door, the ear-lobe place on the left ear of human body and auris dextra; On data transmission module fixed installation headband, be used forGather each reflective photoelectric sensor and detect Gong six road pulse wave signals, and collection Liu road pulse wave signal is changed into numberWord signal, the mobile terminal such as sends to by the mode of bluetooth; In mobile terminal, be designed with signal processing module, it is right to be used for realizingThe pulse wave signal receiving is processed, and comprising: utilize the high-frequency noise in low pass filter filtering six road pulse wave signals;Calculate the auto-correlation function of pulse wave signal, obtain the cycle of pulse wave signal, and with construction schedule square wave; Taking the cycle as TSquare wave as with reference to input, pulse signal is retrained to independent composition analysis algorithm, realize the motion in pulse wave signalArtefact is eliminated, and obtains the pulse wave signal without motion artifacts.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610105696.3A CN105662367A (en) | 2016-02-25 | 2016-02-25 | Head-wearing type multi-point pulse wave detecting method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610105696.3A CN105662367A (en) | 2016-02-25 | 2016-02-25 | Head-wearing type multi-point pulse wave detecting method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105662367A true CN105662367A (en) | 2016-06-15 |
Family
ID=56306004
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610105696.3A Pending CN105662367A (en) | 2016-02-25 | 2016-02-25 | Head-wearing type multi-point pulse wave detecting method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105662367A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040106856A1 (en) * | 2002-11-18 | 2004-06-03 | Masahiro Kimura | Optical measuring apparatus and method |
CN2824836Y (en) * | 2005-01-19 | 2006-10-11 | 捷飞科研有限公司 | Head-mounted physiological parameter measuring device |
KR101248517B1 (en) * | 2008-07-11 | 2013-04-03 | 고쿠리쯔 다이가쿠 호징 츠쿠바 다이가쿠 | Blood vessel characteristics measurement device and method for measuring blood vessel characteristics |
US20130204143A1 (en) * | 2012-02-02 | 2013-08-08 | Seiko Epson Corporation | Pulse wave measurement apparatus and program |
CN103268717A (en) * | 2013-04-03 | 2013-08-28 | 漳州师范学院 | Remote teaching system based on biological signal |
CN104739395A (en) * | 2015-03-25 | 2015-07-01 | 华中科技大学 | Human blood pressure predicting method based on pulse waves |
WO2015123606A2 (en) * | 2014-02-16 | 2015-08-20 | Boris Tverskoy | Method and apparatus for real-time non-invasive optical monitoring of decompression sickness state |
-
2016
- 2016-02-25 CN CN201610105696.3A patent/CN105662367A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040106856A1 (en) * | 2002-11-18 | 2004-06-03 | Masahiro Kimura | Optical measuring apparatus and method |
CN2824836Y (en) * | 2005-01-19 | 2006-10-11 | 捷飞科研有限公司 | Head-mounted physiological parameter measuring device |
KR101248517B1 (en) * | 2008-07-11 | 2013-04-03 | 고쿠리쯔 다이가쿠 호징 츠쿠바 다이가쿠 | Blood vessel characteristics measurement device and method for measuring blood vessel characteristics |
US20130204143A1 (en) * | 2012-02-02 | 2013-08-08 | Seiko Epson Corporation | Pulse wave measurement apparatus and program |
CN103268717A (en) * | 2013-04-03 | 2013-08-28 | 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 |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nemcova et al. | Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone | |
Tamura et al. | Wearable photoplethysmographic sensors—past and present | |
US10426411B2 (en) | System and method for providing a real-time signal segmentation and fiducial points alignment framework | |
Sun et al. | Robust heart beat detection from photoplethysmography interlaced with motion artifacts based on empirical mode decomposition | |
CN105769151B (en) | A kind of pulse wave of multiple points detection method and device | |
JP6279098B2 (en) | Photoelectric pulse signal measuring method and measuring instrument | |
KR20180060724A (en) | Bio signal processing apparatus, apparatus and method for living body information detecting | |
CA2901598A1 (en) | Multimodal physiological sensing for wearable devices or mobile devices | |
CN104808776A (en) | Device and method for detecting continuous attaching of head-wearing intelligent device on human body | |
Karthick et al. | Analysis of vital signs using remote photoplethysmography (RPPG) | |
CN103040524A (en) | Device and method for reducing interference of physiological activities to medical imaging or measuring results | |
CN105125202A (en) | Electrocardiogram monitoring system based on low-noise amplifier | |
Wan et al. | Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal | |
CN107495939A (en) | Live biometric monitoring method, device and system | |
Ghamari et al. | Rapid prototyping of a smart device-based wireless reflectance photoplethysmograph | |
CN103637777A (en) | Wristband capable of intelligently monitoring human body health conditions | |
CN105662367A (en) | Head-wearing type multi-point pulse wave detecting method and device | |
Tamura et al. | Photoplethysmogram | |
Jhuang et al. | A patch-sized wearable ECG/respiration recording platform with DSP capability | |
CN105147293A (en) | System and method for measuring respiratory rate | |
Butkow et al. | An evaluation of heart rate monitoring with in-ear microphones under motion | |
CN106667474A (en) | Heart rate measuring method and device suitable for intelligent wearable device | |
CN203122371U (en) | Cell-phone-based heart rate testing and electrocardiogram diagnosis apparatus | |
He et al. | Variational mode decomposition-based heart rate estimation using wrist-type photoplethysmography during physical exercise | |
CN204683589U (en) | Sphygmus measurement 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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160615 |