UHF measurement of breathing and heartbeat at a distance
RWS'10 Proceedings of the 2010 IEEE conference on Radio and wireless symposium
Smart wearable systems: Current status and future challenges
Artificial Intelligence in Medicine
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In this paper, we develop new signal processing techniques for Doppler radar cardiopulmonary sensing. These techniques enable independent recovery of respiration and heartbeat signals from measurements of chest-wall dynamic motion, which are subsequently used for independent estimation of respiration and heart rate. In particular, three novel elements are introduced: the concept of representing the composite demodulated signal in the complex plane as a vector sum of various components, combining dc coupling with block mean removal, and adaptive cancellation of respiration harmonics. From this, algorithms are derived for arc-length demodulation and cardio/pulmonary separation. A test signal generator is developed to simulate actual signals. Also, an experimental setup is presented and several sets of real data are analyzed using the new signal processing techniques.