Touch-less Heartbeat Detection and Measurement-based Cardiopulmonary Modeling

Dany Obeid (1) , Sawsan Sadek (2) , Gheorghe I. Zaharia (3) , Ghais El Zein (1)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IUT de Saida
3 IETR - Institut d'Électronique et des Technologies du numéRique

This paper presents a system for touch-less heartbeat detection and a cardiopulmonary signal modeling approach. Using a vector network analyzer, a microwave system is tested in detecting the heartbeat signal at a distance of 1-m from a person. The proposed system shows the ability of detecting the heartbeat signals with the possibility of tuning both frequency and power; measurements are performed at 2.4, 5.8, 10, 16, and 60 GHz, as well as at different power levels between 0 and -27 dBm. Based on real measurements performed for both respiration and heart beatings, a model representing the cardiopulmonary activity is presented. The heartbeat rate and the heart rate variability are extracted from the modeling signal using classic and wavelet filters, for SNR between 0 and -20 dB.

Mots clés: Heartbeat detection; cardiovascular system; cardiopulmonary modeling; heart and respiration signals separation; microwave systems

Domaines: Electronique

Dany Obeid, Sawsan Sadek, Gheorghe I. Zaharia, Ghais El Zein. Touch-less Heartbeat Detection and Measurement-based Cardiopulmonary Modeling. Engineering in Medicine and Biology Society, Aug 2010, Buenos AIres, Argentina. pp.658-661, ⟨10.1109/IEMBS.2010.5627214⟩. ⟨hal-00560211⟩