Empirical mode decomposition effectively canceled unwanted Doppler radar sensor motion artifacts, enabling heart rate extraction with an RMSE within 1 beat per minute.
Empirical mode decomposition effectively removes sensor motion artifacts from microwave Doppler radar signals, enabling accurate heart rate extraction.
The operation of microwave Doppler radar for sensing physiological motion signals is heavily compromised under sensor motion. To that end, we investigate the feasibility of applying empirical mode decomposition method in this context, and demonstrate its effectiveness in removing sensor motion artifacts. This method is shown to be effective in canceling unwanted sensor motion with precision sufficient to enable accurate heart rate extraction. Theoretical analysis and simulation results illustrate the potential of the proposed approach for a wide range of frequency separation and amplitude ratios of physiological signals and motion artifacts. Experimental results confirm that separation success is not very sensitive to amplitude ratio. A heart rate is extracted with RMSE within 1 beat per minute even in the presence of mechanical motion and order of magnitude larger in amplitude than that of the heart signal.
Mostafanezhad et al. (Wed,) conducted a other in Physiological motion signals (heart rate extraction). Empirical mode decomposition was evaluated on Heart rate extraction accuracy (RMSE). Empirical mode decomposition effectively canceled unwanted Doppler radar sensor motion artifacts, enabling heart rate extraction with an RMSE within 1 beat per minute.