High-Accuracy Cardiac Activity Extraction Using RLMD-Based Frequency Envelogram in FMCW Radar Systems
This paper proposes an accurate extraction of beat-to-beat interval (BBI) using the robust local mean decomposition (RLMD)-based frequency envelogram (FEnv) method in frequency-modulated continuous wave (FMCW) radar systems with lower signal-to-noise ratio (SNR). The FEnv benefits from spectral inte...
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Published in | 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023 pp. 1097 - 1100 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
11.06.2023
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Subjects | |
Online Access | Get full text |
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Summary: | This paper proposes an accurate extraction of beat-to-beat interval (BBI) using the robust local mean decomposition (RLMD)-based frequency envelogram (FEnv) method in frequency-modulated continuous wave (FMCW) radar systems with lower signal-to-noise ratio (SNR). The FEnv benefits from spectral integration of time-frequency representation (TFR) and can further emphasize the vital signal fragments with strong characteristics. However, the performance of original FEnv suffers from the insufficient time-frequency resolution of the Fourier transform, resulting in poor BBI estimates. RLMD decomposes the reflected signals into the amplitude-modulated (AM) signals and the frequency-modulated (FM) signals, which can be reshaped according to heartbeat frequency band, to improve time-frequency resolution. After proper preprocessing of the received I/Q signals, the cardiac activity can be extracted accurately by the proposed RLMD-based FEnv. The results of the proposed algorithm are in high agreement with the reference signals ECG, and the error rate can reach 1.84 % on average. |
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ISSN: | 2576-7216 |
DOI: | 10.1109/IMS37964.2023.10188114 |