AI Article Synopsis
- The Laser-Doppler system detects mixed signals from respiratory and heartbeat waveforms, which are processed using various filtering and enhancement techniques.
- Key methods include using coefficients of variation for filtering interference and a curve extraction method based on noise theory to improve vital signal analysis.
- The application of a waveform-fixing method helps separate the respiratory and heartbeat signals, achieving approximately 95% accuracy in identifying both respiratory and heart rates in experimental data.
Article Abstract
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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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11548314 | PMC |
| http://dx.doi.org/10.3390/s24217027 | DOI Listing |
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