Development of a fast filtering algorithm via vibration systems approach and application to a class of portable vital signs monitoring systems

Authors:
Fusheng Zha;Jiaxuan Chen;Mantian Li;Wei Guo;Pengfei Wang
Affiliations:
State Key Laboratory of Robotics and System, Harbin Institute of Technology, People's Republic of China;Center for Precision Engineering, Harbin Institute of Technology, People's Republic of China;State Key Laboratory of Robotics and System, Harbin Institute of Technology, People's Republic of China;State Key Laboratory of Robotics and System, Harbin Institute of Technology, People's Republic of China;State Key Laboratory of Robotics and System, Harbin Institute of Technology, People's Republic of China
Venue:
Neurocomputing
Year:
2012

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Abstract

This paper is concerned with the development of a fast filtering algorithm for portable embedded systems based on vibration systems approach. Compared with the existing particle filters and fast wavelet transform filters, the performance of the filter output is remarkably improved by the developed filtering algorithm. The total computation time of the filtering algorithm is both less than that of the particle filter and fast wavelet transform filter. Further, the filtering algorithm is applied to a class of portable vital signs monitoring system, by which the effectiveness of the filtering algorithm is clearly demonstrated.