Key result
The proposed signal processing method significantly improved the signal-to-noise ratio and effectively extracted respiratory and heartbeat vital signs from radar mutual interference.
Why the study?
Mutual interference between frequency modulated continuous wave radars raises the noise floor level, which impedes the extraction of faint respiratory and heartbeat signals.
A novel signal processing method improves the extraction of respiratory and heartbeat signals from frequency modulated continuous wave radar in the presence of mutual interference.
May enable reliable noncontact vital sign extraction amid radar interference; leaves open clinical validation in multi-radar settings.
Respiratory, and heartbeat signals are faint vital signs that provide diagnostic, and prophylactic information for detecting physiological state. With the increasing number of scenes equipped with frequency modulated continuous wave radar, the probability of mutual interference between radars increases. Mutual interference may raise the noise floor level, which easily affects the extraction of respiratory, and heartbeat signals. To solve this issue, we propose a method for extracting vital signs. First, we use the improved pruned exact linear time algorithm to determine the position of the interference signal. Then, the interference signal is restored by the autoregressive model. Finally, the residual noise is removed by bandpass filtering, and ensemble empirical mode decomposition to obtain vital signs. The experimental results show that the proposed method can significantly improve the signal-to-noise ratio of vital signs, and effectively extract vital signs from the interference signal.
No takes yet. Share an insight, caveat, or question.
Liu et al. (2020) studied this question. Proposed method using improved pruned exact linear time algorithm, autoregressive model, and ensemble empirical mode decomposition was evaluated on Signal-to-noise ratio of vital signs. The proposed signal processing method significantly improved the signal-to-noise ratio and effectively extracted respiratory and heartbeat vital signs from radar mutual interference.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: