Key result
FMCW radar artifact cancellation successfully detects human coughs by compensating for motion-induced phase variations.
Why the study?
Human coughs are accompanied by large-scale body motions that overwhelm small-scale vibration signals induced by coughing during FMCW radar detection.
A novel body motion artifact cancellation technique using FMCW radar successfully isolates and detects human cough signals by compensating for large-scale body motions.
May support non-contact cough monitoring in HF; leaves open clinical validation before adoption.
A body motion artifact cancellation (BMAC) technique is proposed to detect human cough signals using a frequency-modulated continuous-wave (FMCW) radar. Human coughs are spontaneously accompanied by large-scale body motions, which overwhelm small-scale vibration signals induced by coughing. To mitigate these effects, motion-induced phase variations are estimated and compensated at respective frequencies of an FMCW signal. The cough signals are extracted from range profiles of the phase-compensated FMCW signals. This allows collecting cough signals at a fixed range bin, which are not so much distorted by range migrations due to the large-scale body motions. It is verified through both simulations and experiments. The experimental result shows that it can clearly detect human cough signals by removing body motion artifacts.
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Han et al. (2022) studied Cough detection. Body motion artifact cancellation (BMAC) technique using FMCW radar was evaluated on Detection of human cough signals by removing body motion artifacts. A body motion artifact cancellation technique using FMCW radar successfully detected human cough signals by estimating and compensating for motion-induced phase variations.
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