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An Improved Vital Signal Extraction Method Based on Laser Doppler Effect
by
Li, Yu
, Chen, Si
, Zhang, Haiyang
, Qi, Yujiao
, Zhang, Bowen
in
Algorithms
/ Analysis
/ Cardiology
/ Doppler effect
/ Fourier transforms
/ Heart beat
/ Laser-Doppler
/ Lasers
/ Methods
/ Patients
/ Respiration
/ signal filtering
/ Signal processing
/ Simulation methods
/ Time series
/ Velocity
/ Vibration
/ vital signal
/ waveform decoupling
/ Wavelet transforms
2024
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An Improved Vital Signal Extraction Method Based on Laser Doppler Effect
by
Li, Yu
, Chen, Si
, Zhang, Haiyang
, Qi, Yujiao
, Zhang, Bowen
in
Algorithms
/ Analysis
/ Cardiology
/ Doppler effect
/ Fourier transforms
/ Heart beat
/ Laser-Doppler
/ Lasers
/ Methods
/ Patients
/ Respiration
/ signal filtering
/ Signal processing
/ Simulation methods
/ Time series
/ Velocity
/ Vibration
/ vital signal
/ waveform decoupling
/ Wavelet transforms
2024
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Do you wish to request the book?
An Improved Vital Signal Extraction Method Based on Laser Doppler Effect
by
Li, Yu
, Chen, Si
, Zhang, Haiyang
, Qi, Yujiao
, Zhang, Bowen
in
Algorithms
/ Analysis
/ Cardiology
/ Doppler effect
/ Fourier transforms
/ Heart beat
/ Laser-Doppler
/ Lasers
/ Methods
/ Patients
/ Respiration
/ signal filtering
/ Signal processing
/ Simulation methods
/ Time series
/ Velocity
/ Vibration
/ vital signal
/ waveform decoupling
/ Wavelet transforms
2024
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An Improved Vital Signal Extraction Method Based on Laser Doppler Effect
Journal Article
An Improved Vital Signal Extraction Method Based on Laser Doppler Effect
2024
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Overview
The mixed signal of respiratory waveform and heartbeat waveform detected by the Laser-Doppler system is processed with an intermediate-frequency (IF) interference filtering method, an enhanced extraction method and a waveform-fixing method. To filter the IF interference signals and the noise scatters in the time-frequency graph, the filtering method based on coefficient of variation (CoV) values and the enhanced curve extraction method based on noise-scatter theory are utilized in vital signal analysis. To decouple the respiratory signal and the heartbeat signal in time domain, the waveform-fixing method based on second-order difference theory is utilized in signal decoupling. This method as an algorithm is applied in the computer simulation and laboratory environments. The results show that the above methods can extract the mixed waveforms and identify the respiratory rates and heart rates in real experimental data. The IF interference signal can be filtered adaptively, and the accuracy of the analyzed rates can be improved to about 95%.
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