Touch-less heartbeat detection and measurement-based cardiopulmonary modeling.

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 for the detection of 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 measurements performed for both respiration and heart beatings, a model of the measured signals representing the cardiopulmonary activity is presented. The heartbeat rate and the heart rate variability are extracted from the modeling signal using wavelet and classic filters, for SNR between 0 and -20 dB.

[The processing of experimental tabulated data with the standardized Multiplan and VU-CALC programs]. / Traitement de quelques données expérimentales réunies en tableaux, à l'aide de programmes standardisés Multiplan et VU-CALC.

The possibilities are investigated of processing data tables issued from immunofluorescence tests for quick virologic diagnosis, from fluorimetric determinations and from spectrophotometric evaluation of electrophoregrams of serum samples from patients with or without hepatitis. Analysis was realised using microcomputer programs facilities.