CN107144840A - Human life signal high precision measuring method based on Terahertz radar - Google Patents
Human life signal high precision measuring method based on Terahertz radar Download PDFInfo
- Publication number
- CN107144840A CN107144840A CN201710302984.2A CN201710302984A CN107144840A CN 107144840 A CN107144840 A CN 107144840A CN 201710302984 A CN201710302984 A CN 201710302984A CN 107144840 A CN107144840 A CN 107144840A
- Authority
- CN
- China
- Prior art keywords
- human body
- signal
- displacement
- radar
- phase
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
Abstract
The invention belongs to Radar Signal Processing Technology and life medical science/tele-medicine field, it is related to a kind of human life signal high precision measuring method based on Terahertz radar, step is：(S1) radar system emission measurement signal；(S2) radar echo signal is obtained, range Imaging is carried out according to echo-signal, and select the coverage unit related to human body target；(S3) phase ranging processing is carried out, the phase changing capacity of human body target is obtained, by phase unwrapping and the displacement variable of human body target is converted to；(S4) displacement variable of human body target is decomposed using empirical mode decomposition method, filters out the displacement component related with heartbeat to human body respiration, additive combination obtains displacement signal；(S5) displacement signal is carried out being fourier transformed into frequency domain, selects the parameter of the peak value in frequency domain, as human body respiration and heartbeat signal.The present invention is applicable special human body and environment, with higher Doppler sensitivity and measurement capability.
Description
Technical field
The invention belongs to Radar Signal Processing Technology and life medical science/tele-medicine field, and in particular to one kind is based on too
The human life signal high precision measuring method of hertz radar.
Background technology
The application for breathing the measurement of the life signals such as heartbeat is quite varied, in terms of medical treatment, the either monitoring of personal health
Or the diagnosis to chronic disease, breathing heartbeat parameter is all the reflection directly perceived of a personal health condition, and in engineer applied side
Face, the safety of life and property of the serious natural calamity entail dangers to people such as earthquake, snowslide, mud-rock flow, is timely and effectively rescued
The injures and deaths of personnel can be greatly reduced, can accurately detect the parameter of human body respiration heartbeat there are extensive safety applications.Mesh
Before, there are many methods to carry out breathing the detection of palmic rate, be broadly divided into contact and contactless.With science and technology
Progressive and radar is increasingly widely applied in biological, biomedical aspect so that the research emphasis of people concentrates on non-connect
Above the method for touch.
It is a kind of widely used method to realize that Target Motion Character is extracted using radar means, with round-the-clock, whole day
The features such as time, high accuracy, there is highly important application in terms of remote sensing survey, life detection and military surveillance.Terahertz
(Terahertz, THz) frequency range is often referred to electromagnetic wave of the frequency between 0.1THz to 10THz (30 μm of -3mm of corresponding wavelength), should
The great scientific research value of frequency spectrum of frequency band, belongs to brand-new frequency resource, with its unique performance and in the wide of multiple fields
Application prospect is attracted wide attention, and is one of internationally recognized important front edge science and technology field.In recent years, with Terahertz
Source, detection and the breakthrough of related device, Terahertz Radar Technology are quickly grown, in terms of high-resolution imaging and the fine measurement of motion
Gradually show advantage.The breathing and heartbeat of human body are typical life signal forms, are the important parameters of human body vital sign,
It is also the important evidence for carrying out human body detection and diagnosis and treatment.But current human life signal (breathing and heartbeat of human body) measurement
Means are basic based on contact type measurement, although this mode precision is higher, simple to operate, especially intrinsic application limitation
Property.Contactless breathing heartbeat signal detection is in large-area burns, scalded patient, remote patient, infant, natural calamity
Victim and battlefield soldier have important application, the deficiency of contact type measurement means can be effectively made up, with wide
Development prospect and important application value.
In terms of contact type measurement, Main Means are electrocardiograms[1,2].Although ecg measurement is with higher measurement essence
Degree, but it has open defect, such as, for burned patient, easily secondary injury is produced while measurement；For infant
Patient and remote patient performance difficulty etc..
In terms of non-contact measurement, current measuring system is concentrated mainly on microwave band and millimeter wave band, frequency
Relatively low compared to Terahertz frequency range, system is not sensitive enough, it is necessary to which complex system is constituted and believed for faint life signal
Number processing means[3-6]。
Therefore, realize that human life signal high precision is measured using Terahertz radar, give full play to Terahertz radar micro- many
The general advantage for strangling sensitiveness is one the problem of require study, for this problem, currently not effective means.Correlation ginseng
Examine document as follows：
[1] pure micro-dopplers biological detection Radar Technology research [J] modern radars .2011 (10) of Wang De
[2] Li Qing, Li Bin a kind of radar return fine processing technology [J] modern times converted based on Hilbert-Huang
Radar .2013 (07)
[3]Petkie D T,Benton E,Carla B,et al.Remote respiration and heart
rate monitoring with millimeter-wave/terahertz radars[J].Millimetre Wave and
Terahertz Sensors and Technology.2008.
[4]Xu H,Li B,Ren J.Research on human respiratory detection method
based on UWB stepped frequency radar[J].Yi Qi Yi Biao Xue Bao/Chinese Journal
of Scientific Instrument.2012,33(2):286-292.
[5]Baboli M,Boric-Lubecke O,Lubecke V.Heart and Respiratory Detection
and Simulations for Tracking Humans based on Respiration by using Pulse-Based
Radar[J].2012.
[6]Kim K,Suh J,Shin D,et al.High Sensitivity Doppler Radar System for
detecting Respiration and Heart Rate Using Improved Isolation Technique[J]
.2014.
The content of the invention
In order to solve the above technical problems, the present invention is by comprehensively utilizing the comparative maturities such as phase ranging and empirical mode decomposition
Signal processing method, realize the high-acruracy survey of human life signal, the features such as with Efficient robust, and do not increase simultaneously
System complexity.Concrete technical scheme is as follows：
A kind of human life signal high precision measuring method based on Terahertz radar, comprises the following steps：
(S1) radar system emission measurement signal；
(S2) radar echo signal is obtained, range Imaging is carried out according to echo-signal, and select and human body mesh in Range Profile
Related range cell is marked, coverage unit is designated as；
(S3) phase ranging processing is carried out to coverage unit, the phase changing capacity of human body target is obtained, by phase
Solution extorts the phase changing capacity after solution is twined, and the phase changing capacity after solution is twined is converted to displacement variable, i.e. human body target
Displacement variable；
(S4) displacement variable of human body target is decomposed using empirical mode decomposition method, filters out and exhaled with human body
The displacement component related to heartbeat is inhaled, additive combination is carried out to the displacement component filtered out, displacement signal is obtained；
(S5) displacement signal is carried out being fourier transformed into frequency domain, selects the peak value in frequency domain, i.e. human body respiration and heartbeat
The parameter of signal.
Further, range cell related to human body target in the step (S2) is specially in Range Profile at peak value
Range cell.
Further, the detailed process of the phase unwrapping in the step (S3) is：Carried using Matlab softwares
Unwrap functions carry out phase unwrapping.
Further, the calculation formula that phase changing capacity is converted to displacement variable described in the step (S3) is：
Wherein φ is to handle obtained phase changing capacity by phase ranging, and l is the displacement variable of human body target, and c is
The light velocity.
Further, the displacement component detailed process related with heartbeat to human body respiration is filtered out in the step (S4)
For：Filter out displacement component of the frequency in 0.15Hz-2Hz interval ranges.
In order to be best understood from present invention, now relevant theory deduction is described below：
1) the inventive method is directed to wideband radar system, can select wideband pulse radar or WBFM continuous wave
Radar, radar emission signalIt is specific as shown in formula (1)：
Wherein,For apart from fast time, tmFor orientation slow time, TpPulse width or broadband for wideband pulse radar are adjusted
The frequency sweep cycle of frequency continuous wave radar, fcFor radar carrier frequency, γ is frequency modulation rate, and π values are pi, rect () expression side arteries and veins
Punching, exp represents the exponential function that e is bottom, and j represents imaginary unit, and t is full-time, it is full-time between with it is slow apart from fast time and orientation
The relation of time is
Assuming that human body target and distance by radar are R, then radar echo signalIt is expressed as：
Wherein c is the light velocity.
2) obtain after human body target echo, carry out Range compress, it is to obtain target to carry out Fourier transformation to the fast time
One-dimensional range profile.The peak value of Range Profile correspond to the position of target, and the range cell in Range Profile at peak value is extracted
It is used as the range cell related to target, referred to as coverage unit.
3) obtain after the coverage unit related to target, phase ranging processing is carried out to it and (extracts step
The phase of coverage unit in S2), that is, the phase changing capacity of human body target is obtained, phase changing capacity at this moment is wound around
, the unwrap functions carried using Matlab softwares carry out phase unwrapping.Further obtain the phase changing capacity after solution is twined, root
According to the relation of formula (3), phase changing capacity is converted into displacement variable, that is, obtains the displacement variable of human body target, phase becomes
It is as follows that change amount is converted to displacement variable calculation formula：
Wherein φ is that obtained phase changing capacity (solution twine after phase changing capacity) is handled by phase ranging, and l is human body
The displacement variable of target, c is the light velocity.
4) after the displacement variable of human body target is obtained, drawn by analysis, at this moment the change in displacement of human body target
Amount mainly contains three parts：One be system high-frequency noise, another is that human body rocks the low frequency modulations brought, be left
One is the real displacement variable as caused by human body respiration and heartbeat.And in this three part, high-frequency noise and low frequency modulations are all
It is that we are unwanted, interference can be brought to human life signal measurement, it is necessary to filter out.Therefore, the present invention uses experience
Obtained human body target displacement variable is decomposed into several components, one frequency range of each component correspondence by the method for mode decomposition
Motion.Rule of thumb, the frequency of human life signal is typically distributed across 0.15Hz-2Hz range contents, therefore from decomposition result
Frequency is filtered out in (several components that i.e. human body target displacement variable is decomposed) positioned at the displacement component of this interval range to enter
Row additive combination, obtains displacement signal only related with heartbeat to human body respiration.
5) after displacement signal only related to human body respiration heartbeat is obtained, Fourier transformation is carried out to it, by its turn
Frequency domain is changed to, peak value in a frequency domain is the parameter for corresponding to human body respiration and heartbeat signal.
The beneficial effect obtained using the present invention：1. the inventive method application field extensively, can be applicable special human body and
Particular surroundings, such as victim of burn and scald patient, infant patient, battlefield soldier and natural calamity etc..2. the present invention
Method has higher Doppler sensitivity, especially for small-signals such as human body respiration heartbeats, with stronger measurement energy
Power.3. the inventive method has the features such as realizing simple, stability and good universality, while high-acruracy survey result is obtained
System and the complexity of algorithm are not increased, with preferable practicality.
Brief description of the drawings
Fig. 1 is the inventive method schematic flow sheet；
Fig. 2 is the Range Profile of human body target in embodiment；
Fig. 3 obtains the displacement variable of human body target for phase ranging in embodiment；
Fig. 4 is the empirical mode decomposition result figure of human body target displacement variable in embodiment, wherein (a) figure is Empirical Mode
Result in time domain figure after state decomposition；(b) the frequency-domain result figure after empirical mode decomposition；
The displacement signal result that Fig. 5 is obtained after being combined for displacement component only related with heartbeat with human body respiration in embodiment
Figure；
Fig. 6 is the spectrogram of a displacement signal related with heartbeat to human body respiration in embodiment.
Embodiment
The invention will be further described with reference to the accompanying drawings and examples.
As shown in figure 1, the present invention proposes a kind of human life signal high precision measuring method based on Terahertz radar,
Echo-signal after wideband radar is received carries out range Imaging, is filtered out from range Imaging result related to human body target
Coverage unit, then carries out phase ranging to it, obtains the change in displacement of human motion, then carries out empirical modal to it
Decompose, the displacement component related to human body respiration heartbeat is filtered out from the component obtained after decomposition and carries out additive combination, finally
Fourier transformation is carried out to it, human life signal parameter is estimated from frequency domain, is tele-medicine, non-cpntact measurement and life detection
Technical support is provided Deng area research.
In the present embodiment so that a carrier frequency is 322GHz wideband radar system as an example, using human body as target, pass through reality
The contrast of result and theoretical value is tested, the validity of this method is illustrated.Radar system carrier frequency 322GHz, bandwidth in experiment
Sampling number is 512 in 25.2GHz, pulse repetition period 1ms, each pulse, observation time 36s, human body mesh in the present embodiment
Mark is just being sitting in the position apart from radar 5m.Obtain after wideband echoes, handled by Range compress, obtain the Range Profile of human body target
As shown in Fig. 2 will become apparent from the target at 5m from figure, thus extract the range cell at 5m distances as effectively away from
From unit, and it is as shown in Figure 3 that the human body target displacement variable that phase ranging obtains is carried out to it.
Find out from Fig. 3 human body target displacement variable, the signal has a low frequency modulations and High-frequency Interference, wherein low
Frequency modulation system mostlys come from the weak vibrations of human body, and high-frequency noise is essentially from the internal noise of radar system, these low frequencies tune
System and high-frequency noise can all be impacted to the measurement capability of system, it is therefore desirable to be filtered out.We are using empirical modal point
Human body target displacement variable after the method for solution is twined to solution is decomposed, and the time domain and frequency-domain result of its empirical mode decomposition are such as
Shown in Fig. 4, wherein (a) figure is the result in time domain figure after empirical mode decomposition；(b) the frequency-domain result figure after empirical mode decomposition.
As can be seen that by empirical mode decomposition, the displacement after solution is twined has been broken down into 15 components, rule of thumb understand, human body
The frequency of life signal is general between 0.15Hz-2Hz, therefore, obtains only related to human body respiration and heartbeat to recombinate
In displacement signal, specific implementation process, it only need to extract the component related to heartbeat signal to breathing and be handled, so
Low frequency modulations and high-frequency noise are just effectively filtered out.
The displacement variable only related with heartbeat to human body respiration extracted, displacement signal such as figure are obtained by combination
Shown in 5, it can be seen that displacement signal at this moment is purer.The result of Fourier transformation is carried out to it as shown in fig. 6,
From its frequency spectrum, two peak values can be clearly obtained, the peak that wherein frequency is relatively low, peak value is larger corresponds to breath signal, frequency
Rate is higher, the less peak of peak value corresponds to heartbeat signal, i.e. human life signal.
The respiratory rate that estimation obtains human body in this experiment from figure is 0.55Hz, and palmic rate is 1.1Hz.In order to test
The correctness of inventive algorithm is demonstrate,proved, while simply having carried out breathing and beats by the way of artificial counting in an experiment
Measurement, respectively 20 times and 40 times, respective frequencies 0.5556Hz and 1.1111Hz.With the human body respiration for estimating to obtain and heartbeat frequency
Rate is compared, and the human life signal measurement relative error of the inventive method is controlled within 2%, demonstrates the correct of the present invention
Property.
Embodiments of the invention are the foregoing is only, are not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly apply in other correlation techniques
Field, is included within the scope of the present invention.
Claims (5)
1. a kind of human life signal high precision measuring method based on Terahertz radar, it is characterised in that comprise the following steps：
(S1) radar system emission measurement signal；
(S2) radar echo signal is obtained, range Imaging is carried out according to echo-signal, and selected and human body target in Range Profile
Related range cell, is designated as coverage unit；
(S3) phase ranging processing is carried out to coverage unit, the phase changing capacity of human body target is obtained, by phase unwrapping
The phase changing capacity after solution is twined is obtained, the phase changing capacity after solution is twined is converted to the displacement of displacement variable, i.e. human body target
Variable quantity；
(S4) displacement variable of human body target is decomposed using empirical mode decomposition method, filter out with human body respiration and
The related displacement component of heartbeat, carries out additive combination to the displacement component filtered out, obtains displacement signal；
(S5) displacement signal is carried out being fourier transformed into frequency domain, selects the peak value in frequency domain, i.e., corresponding to human body respiration and the heart
Jump the parameter of signal.
2. a kind of human life signal high precision measuring method based on Terahertz radar as claimed in claim 1, its feature
It is：The range cell related to human body target is specially the range cell at peak value in Range Profile in the step (S2).
3. a kind of human life signal high precision measuring method based on Terahertz radar as claimed in claim 1, its feature
It is：The detailed process of phase unwrapping is in the step (S3)：The unwrap functions carried using Matlab softwares carry out phase
Position solution is twined.
4. a kind of human life signal high precision measuring method based on Terahertz radar as claimed in claim 1, its feature
It is：The calculation formula that phase changing capacity is converted to displacement variable described in the step (S3) is：
<mrow>
<mi>l</mi>
<mo>=</mo>
<mfrac>
<mrow>
<mi>&phi;</mi>
<mi>c</mi>
</mrow>
<mrow>
<mn>4</mn>
<msub>
<mi>&pi;f</mi>
<mi>c</mi>
</msub>
</mrow>
</mfrac>
</mrow>
Wherein φ is to handle obtained phase changing capacity by phase ranging, and l is the displacement variable of human body target, and c is the light velocity,
fcFor radar carrier frequency.
5. a kind of human life signal high precision measuring method based on Terahertz radar as claimed in claim 1, its feature
It is：The displacement component detailed process related with heartbeat to human body respiration that filter out in the step (S4) be：Filter out frequency
Rate is located at the displacement component in 0.15Hz-2Hz interval ranges.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710302984.2A CN107144840A (en) | 2017-05-03 | 2017-05-03 | Human life signal high precision measuring method based on Terahertz radar |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710302984.2A CN107144840A (en) | 2017-05-03 | 2017-05-03 | Human life signal high precision measuring method based on Terahertz radar |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107144840A true CN107144840A (en) | 2017-09-08 |
Family
ID=59775457
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710302984.2A Pending CN107144840A (en) | 2017-05-03 | 2017-05-03 | Human life signal high precision measuring method based on Terahertz radar |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107144840A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109522826A (en) * | 2018-10-31 | 2019-03-26 | 广东工业大学 | A kind of life signal detection method and system based on FMCW millimetre-wave radar |
| CN109805931A (en) * | 2019-02-18 | 2019-05-28 | 中电科仪器仪表有限公司 | Remote life micro-tremor signal detection method based on Terahertz Doppler radar |
| CN109830085A (en) * | 2018-12-05 | 2019-05-31 | 深圳市天视通电子科技有限公司 | A kind of baby sleep monitoring method and system |
| WO2019155125A1 (en) * | 2018-02-12 | 2019-08-15 | Teknologian Tutkimuskeskus Vtt Oy | Monitoring living facilities by multichannel radar |
| CN110554381A (en) * | 2019-08-30 | 2019-12-10 | 湖南正申科技有限公司 | Human body static target acceleration detection method for impulse type through-wall radar |
| CN111537989A (en) * | 2020-03-25 | 2020-08-14 | 中国电子科技集团公司第二十九研究所 | Method for extracting signal micro Doppler modulation component based on empirical mode decomposition |
| CN112654288A (en) * | 2018-07-09 | 2021-04-13 | 纳特拉技术公司 | sub-THZ and THZ systems for physiological parameter detection and methods thereof |
| CN112674740A (en) * | 2020-12-22 | 2021-04-20 | 北京工业大学 | Vital sign detection method based on millimeter wave radar |
| CN113854990A (en) * | 2021-10-27 | 2021-12-31 | 青岛海信日立空调系统有限公司 | Heartbeat detection method and device |
| CN112654288B (en) * | 2018-07-09 | 2024-04-26 | 纳特拉技术公司 | Sub-THZ and THZ systems for physiological parameter detection and methods thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102988057A (en) * | 2012-12-06 | 2013-03-27 | 中国人民解放军第四军医大学 | Non-contact type audio frequency life detection instrument based on ultra-wideband biological radar |
| CN106175723A (en) * | 2016-06-27 | 2016-12-07 | 中国人民解放军第三军医大学第附属医院 | A kind of many life monitoring systems based on FMCW wideband radar |
| EP2986997A4 (en) * | 2013-04-18 | 2017-02-08 | California Institute of Technology | Life detecting radars |
-
2017
- 2017-05-03 CN CN201710302984.2A patent/CN107144840A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102988057A (en) * | 2012-12-06 | 2013-03-27 | 中国人民解放军第四军医大学 | Non-contact type audio frequency life detection instrument based on ultra-wideband biological radar |
| EP2986997A4 (en) * | 2013-04-18 | 2017-02-08 | California Institute of Technology | Life detecting radars |
| CN106175723A (en) * | 2016-06-27 | 2016-12-07 | 中国人民解放军第三军医大学第附属医院 | A kind of many life monitoring systems based on FMCW wideband radar |
Non-Patent Citations (3)
| Title |
|---|
| DOUGLAS T PETKIE: "Remote respiration and heart rate monitoring with millimeter-wave/terahertz radars", 《PROCEEDINGS OF SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING》 * |
| ZHENGWU XU: "Vital sign sensing method based on EMD in terahertz band", 《EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING》 * |
| 许会: "超宽带步进变频雷达人体呼吸检测方法研究", 《仪器仪表学报》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019155125A1 (en) * | 2018-02-12 | 2019-08-15 | Teknologian Tutkimuskeskus Vtt Oy | Monitoring living facilities by multichannel radar |
| CN112654288A (en) * | 2018-07-09 | 2021-04-13 | 纳特拉技术公司 | sub-THZ and THZ systems for physiological parameter detection and methods thereof |
| CN112654288B (en) * | 2018-07-09 | 2024-04-26 | 纳特拉技术公司 | Sub-THZ and THZ systems for physiological parameter detection and methods thereof |
| CN109522826A (en) * | 2018-10-31 | 2019-03-26 | 广东工业大学 | A kind of life signal detection method and system based on FMCW millimetre-wave radar |
| CN109522826B (en) * | 2018-10-31 | 2020-10-09 | 广东工业大学 | Life signal detection method and system based on FMCW millimeter wave radar |
| CN109830085A (en) * | 2018-12-05 | 2019-05-31 | 深圳市天视通电子科技有限公司 | A kind of baby sleep monitoring method and system |
| CN109805931A (en) * | 2019-02-18 | 2019-05-28 | 中电科仪器仪表有限公司 | Remote life micro-tremor signal detection method based on Terahertz Doppler radar |
| CN110554381A (en) * | 2019-08-30 | 2019-12-10 | 湖南正申科技有限公司 | Human body static target acceleration detection method for impulse type through-wall radar |
| CN111537989A (en) * | 2020-03-25 | 2020-08-14 | 中国电子科技集团公司第二十九研究所 | Method for extracting signal micro Doppler modulation component based on empirical mode decomposition |
| CN112674740A (en) * | 2020-12-22 | 2021-04-20 | 北京工业大学 | Vital sign detection method based on millimeter wave radar |
| CN113854990A (en) * | 2021-10-27 | 2021-12-31 | 青岛海信日立空调系统有限公司 | Heartbeat detection method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107144840A (en) | Human life signal high precision measuring method based on Terahertz radar | |
| He et al. | Novel signal processing method for vital sign monitoring using FMCW radar | |
| Xiong et al. | Differential enhancement method for robust and accurate heart rate monitoring via microwave vital sign sensing | |
| Tariq et al. | Vital signs detection using Doppler radar and continuous wavelet transform | |
| CN106175723A (en) | A kind of many life monitoring systems based on FMCW wideband radar | |
| Sun et al. | Remote measurement of human vital signs based on joint-range adaptive EEMD | |
| CN104644143A (en) | Non-contact life sign monitoring system | |
| CN109805931B (en) | Terahertz Doppler radar-based long-distance life micro-motion signal detection method | |
| CN113261925A (en) | Human body sensing method and system based on millimeter wave radar | |
| CN102715920B (en) | Detection method for vital signs of human body target | |
| CN106805940A (en) | A kind of continuous wave bioradar sign detection means | |
| CN106805941A (en) | A kind of continuous wave bioradar sign detection means | |
| CN109044298A (en) | It is a kind of can long-range monitoring human vital sign unmanned plane device | |
| Alizadeh et al. | Remote heart rate sensing with mm-wave radar | |
| CN116077044A (en) | Vital sign detection method based on millimeter wave radar | |
| Ali et al. | Non-invasive blood glucose measurement performance analysis through UWB imaging | |
| Liu et al. | Remote drowsiness detection based on the mmWave FMCW radar | |
| Raheel et al. | Breathing and heartrate monitoring system using IR-UWB radar | |
| Birsan et al. | Non-contact cardiopulmonary monitoring algorithm for a 24 GHz Doppler radar | |
| Will et al. | Intelligent signal processing routine for instantaneous heart rate detection using a Six-Port microwave interferometer | |
| Birsan et al. | Time-frequency analysis in Doppler radar for noncontact cardiopulmonary monitoring | |
| Zhang et al. | The separation of the heartbeat and respiratory signal of a doppler radar based on the lms adaptive harmonic cancellation algorithm | |
| Hu et al. | Preliminary results of noncontact respiration and heartbeat detection using IR-UWB radar | |
| Pan et al. | A spectrum estimation approach for accurate heartbeat detection using Doppler radar based on combination of FTPR and TWV | |
| Gao et al. | A new direction for biosensing: RF sensors for monitoring cardio-pulmonary function |
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: 20170908 |