Title :
Contactless sensing of physiological signals using wideband RF probes
Author :
Ju Gao ; Ertin, Emre ; Kumar, Sudhakar ; al´Absi, Mustafa
Author_Institution :
Ohio State Univ., Columbus, OH, USA
Abstract :
In this paper, we present a new prototype ultrawideband (UWB) radio frequency (RF) sensor and associated signal recovery algorithms for sensing of heart and lung motion without requiring contact with the skin. We pose the problem of recovering reflectivity profile of the body from UWB RF backscatter measurements as a blind deconvolution problem, and present an iterative algorithm for its solution. We also present subspace based detectors for detecting heart beats in this new imaging modality.
Keywords :
biosensors; compressed sensing; deconvolution; iterative methods; medical signal processing; physiology; ultra wideband technology; UWB RF backscatter measurements; UWB-RF sensor; associated signal recovery algorithms; blind deconvolution problem; contactless sensing; heart beat detection; heart sensing; imaging modality; iterative algorithm; lung motion sensing; physiological signals; reflectivity profile recovery; subspace based detectors; ultrawideband radio frequency sensor; wideband RF probes; Antenna measurements; Backscatter; Heart beat; Monitoring; Radio frequency; Sensors; Compressive Sensing; RF Biosensing; Sparse Deconvolution;
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
DOI :
10.1109/ACSSC.2013.6810235
