Non-invasive respiration rate estimation using ultra-wideband distributed cognitive radar system.

Autor: Chen Y; Biomedical Enginering Research Centre, Nanyang Technological University, Singapore., Gunawan E, Low KS, Kim Y, Soh CB, Leyman AR, Thi LL
Jazyk: angličtina
Zdroj: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [Conf Proc IEEE Eng Med Biol Soc] 2006; Vol. 2006, pp. 920-3.
DOI: 10.1109/IEMBS.2006.260759
Abstrakt: 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.
Databáze: MEDLINE