Abstract
The detection of vital signs by the ultra-wideband (UWB) radar sensor does not require touching the body. The UWB radar sensor has shorter detection time and less radiation than X-rays. Considering that heartbeat signals and respiratory signals are non-stationary, this paper uses the empirical mode decomposition (EMD) algorithm and the variational mode decomposition (VMD) algorithm to process them. Both respiratory and heartbeat characteristics are obtained with non-contact detection in the paper. The Hilbert transform of vital signs is conducted to reflect the time–frequency information of vital signs. Experimental results show that a highly accurate detection of vital signs can be achieved using the proposed methods.
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