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Human respiration rate estimation using ultra-wideband distributed cognitive radar system

Human respiration rate estimation using ultra-wideband distributed cognitive radar system

Chen, Yifan and Rapajic, Predrag (2008) Human respiration rate estimation using ultra-wideband distributed cognitive radar system. International Journal of Automation and Computing, 5 (4). pp. 325-333. ISSN 1476-8186 (doi:10.1007/s11633-008-0325-3)

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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, we first present a multi-ray propagation model for UWB signal, which is traveling through the human thorax and is reflected on the air/dry-skin/fat/muscle interfaces. A geometry-based statistical channel model is then 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. We also provide a case study on how the antenna beamwidth affects the estimation of respiration rate based on the proposed propagation models and system architecture

Item Type: Article
Additional Information: This journal is a joint publication of Springer-Verlag and The Institute of Automation, Chinese Academy of Sciences
Uncontrolled Keywords: medical and patient monitoring, sensing technologies and signal processing, vital sign, ultra-wideband, distributed cognitive radar, respiration rate estimation,
Subjects: T Technology > T Technology (General)
Q Science > Q Science (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QP Physiology
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Computer & Communications Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:07
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/2638

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