A Separation Technology for Biological Radar Signals of Respiration and Heartbeat

Abstract:

This research aimed to separate the signals of respiration and heartbeat effectively from the biological radar echo signals of vital signs detecting platform. Therefore the characteristics parameters of the respiration and heartbeat could be extracted to provide the basis for clinical diagnosis and disease prevention. This paper put forward a separation algorithm of heartbeat and respiration based on LMS adaptive harmonic cancellation, the combined harmonics of the breathing signal was regarded as a reference input signal of the adaptive filter to improve the algorithm. Related experiments were designed to conduct filter processing. Results show that the algorithm proposed proved to be more effective in the signals separation of respiration and heartbeat.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 1564-1568
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.1564
• Online since: September 2013
• Authors: Hua Zhang, Sheng Li, Xi Jing Jing, Yang Zhang, Teng Jiao, Peng Fei Zhang, Hao Lv, Xiao Yu, Hui Jun Xue, Guo Hua Lu, Jian Qi Wang
• Keywords: Adaptive Noise Cancellation, Biological Radar, Least Mean Square (LMS)

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