TY - JOUR
T1 - Low-complexity Wireless Monitoring of Respiratory Movements Using Ultra-wideband Impulse Response Estimation
AU - Sana, Furrukh
AU - Ballal, Tarig
AU - Al-Naffouri, Tareq Y.
AU - Hoteit, Ibrahim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/3
Y1 - 2014/3
N2 - In this paper; we present a comprehensive scheme for wireless monitoring of the respiratory movements in humans. Our scheme overcomes the challenges low signal-to-noise ratio, background clutter and high sampling rates. It is based on the estimation of the ultra-wideband channel impulse response. We suggest techniques for dealing with background clutter in situations when it might be time variant. We also present a novel methodology for reducing the required sampling rate of the system significantly while achieving the accuracy offered by the Nyquist
rate. Performance results from simulations conducted with pre-recorded respiratory signals demonstrate the robustness of our scheme for tackling the above challenges and providing a low-complexity solution for the monitoring of respiratory movements.
AB - In this paper; we present a comprehensive scheme for wireless monitoring of the respiratory movements in humans. Our scheme overcomes the challenges low signal-to-noise ratio, background clutter and high sampling rates. It is based on the estimation of the ultra-wideband channel impulse response. We suggest techniques for dealing with background clutter in situations when it might be time variant. We also present a novel methodology for reducing the required sampling rate of the system significantly while achieving the accuracy offered by the Nyquist
rate. Performance results from simulations conducted with pre-recorded respiratory signals demonstrate the robustness of our scheme for tackling the above challenges and providing a low-complexity solution for the monitoring of respiratory movements.
UR - http://hdl.handle.net/10754/346323
UR - http://linkinghub.elsevier.com/retrieve/pii/S1746809413001614
UR - http://www.scopus.com/inward/record.url?scp=84898012723&partnerID=8YFLogxK
U2 - 10.1016/j.bspc.2013.11.004
DO - 10.1016/j.bspc.2013.11.004
M3 - Article
SN - 1746-8094
VL - 10
SP - 192
EP - 200
JO - Biomedical Signal Processing and Control
JF - Biomedical Signal Processing and Control
IS - 1
ER -