Multivariate Signal Decomposition for Vital Signal Extraction using UWB Impulse Radar

Remote sensing of vital signals, including respiration and heartbeat, is an important application used in smart homes, smart hospitals, or car driver assistant systems. Ultra-wideband impulse (UWB) radar recently became popular because of its ability to sense tiny motions from breathing and cardiac...

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Bibliographic Details
Main Authors: Le, Minhhuy, Luong, Van Su, Dang Nguyen, Khoa, Le, Tien Dat, Le, Dang-Khanh
Format: Conference Proceeding
Language:English
Subjects:
Heart beat
Heartbeat signal extraction
multivariate singular spectral analysis
Remote sensing
Smart home
Smart homes
Spectral analysis
Stability analysis
Ultra wideband radar
Ultra-wideband impulse radar
Wavelet analysis
Wavelet transforms
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Summary:Remote sensing of vital signals, including respiration and heartbeat, is an important application used in smart homes, smart hospitals, or car driver assistant systems. Ultra-wideband impulse (UWB) radar recently became popular because of its ability to sense tiny motions from breathing and cardiac activities. The heartbeat signal is in order of magnitudes smaller than the respiration signal and is usually buried in a noisy signal. In this research, we propose a multivariate signal decomposition for efficiently extracting the heartbeat signal. The results show that the proposed method significantly improves the accuracy of the signal-to-noise ratio of the heartbeat signal compared to the recent advanced methods such as wavelet transform, singular spectral analysis, and multivariate singular spectral analysis. The proposed method also improves the stability of heartbeat monitoring in real-time applications.
ISSN:2693-3551
DOI:10.1109/SSP53291.2023.10208009