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. 2006:2006:920-3.
doi: 10.1109/IEMBS.2006.260759.

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

Yifan Chen  1 , Erry Gunawan, Kay Soon Low, Yongmin Kim, Cheong Boon Soh, A Rahim Leyman, Lin Lin Thi
Affiliations

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

Yifan Chen et al. Conf Proc IEEE Eng Med Biol Soc. 2006.

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.

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