title: Non-invasive respiration rate estimation using ultra-wideband distributed cognitive radar system.
abstract: 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.
authors.affiliation: Biomedical Enginering Research Centre, Nanyang Technological University, Singapore.
authors.forename: Yifan
authors.initials: Y
authors.lastname: Chen
authors.forename: Erry
authors.initials: E
authors.lastname: Gunawan
authors.forename: Kay Soon
authors.initials: KS
authors.lastname: Low
authors.forename: Yongmin
authors.initials: Y
authors.lastname: Kim
authors.forename: Cheong Boon
authors.initials: CB
authors.lastname: Soh
authors.forename: A Rahim
authors.initials: AR
authors.lastname: Leyman
authors.forename: Lin Lin
authors.initials: LL
authors.lastname: Thi
mesh_terms: 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*