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In this paper we present a continuous wave radar created using a software defined radio platform that uses doppler effect to measure the heart-rate and breathing. The measurements are evaluated using a classic energy detection method and a cyclic spectrum estimation technique, then the two methods are compared. The results show that by taking advantaging of the cyclic autocorrelation of the bio-signals we can get better detection than the usual energy detection.

Improving Performance of Bio-radars for Remote Heartbeat and Breathing Detection by using Cyclostationary Features