Non-invasive respiration rate estimation using ultra-wideband distributed cognitive radar system.
It has been shown that remote monitoring of pulmonary activity can be achieved using ultra-wideband (UWB) systems, which shows promise in home healthcare, rescue, and security applications. In this paper, a geometry-based statistical channel model is developed for simulating the reception of UWB signals in the indoor propagation environment. This model enables replication of time-varying multipath profiles due to the displacement of a human chest. Subsequently, a UWB distributed cognitive radar system (UWB-DCRS) is developed for the robust detection of chest cavity motion and the accurate estimation of respiration rate. The analytical framework can serve as a basis in the planning and evaluation of future measurement programs.
Chen
Yifan
Y
Biomedical Enginering Research Centre, Nanyang Technological University, Singapore.
Gunawan
Erry
E
Low
Kay Soon
KS
Kim
Yongmin
Y
Soh
Cheong Boon
CB
Leyman
A Rahim
AR
Thi
Lin Lin
LL
D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D018670:Monitoring, Ambulatory / Q000379:methods*; D011825:Radar; D012129:Respiratory Function Tests / Q000379:methods*; D015656:Respiratory Mechanics / Q000502:physiology*