An impulse radio ultra-wideband radar system using EEMD and CWT accurately extracted respiration and heartbeat signals without body contact, demonstrating feasibility for biomedical applications.
An IR-UWB radar system utilizing EEMD and CWT algorithms can accurately and wirelessly monitor respiration and heartbeat rates without body contact.
The radar sensor described realizes healthcare monitoring capable of detecting subject chest-wall movement caused by cardiopulmonary activities and wirelessly estimating the respiration and heartbeat rates of the subject without attaching any devices to the body. Conventional single-tone Doppler radar can only capture Doppler signatures because of a lack of bandwidth information with noncontact sensors. In contrast, we take full advantage of impulse radio ultra-wideband (IR-UWB) radar to achieve low power consumption and convenient portability, with a flexible detection range and desirable accuracy. A noise reduction method based on improved ensemble empirical mode decomposition (EEMD) and a vital sign separation method based on the continuous-wavelet transform (CWT) are proposed jointly to improve the signal-to-noise ratio (SNR) in order to acquire accurate respiration and heartbeat rates. Experimental results illustrate that respiration and heartbeat signals can be extracted accurately under different conditions. This noncontact healthcare sensor system proves the commercial feasibility and considerable accessibility of using compact IR-UWB radar for emerging biomedical applications.
Hu et al. (Wed,) conducted a other in Vital signs monitoring. IR-UWB radar with EEMD and CWT vs. Conventional single-tone Doppler radar was evaluated on Respiration and heartbeat rates extraction. An impulse radio ultra-wideband radar system using EEMD and CWT accurately extracted respiration and heartbeat signals without body contact, demonstrating feasibility for biomedical applications.