Applications of TVF-EMD in Vital Signal Detection for UWB Radar | Zendy

Zhen Yang | Zendy; Chi Ma | Zendy; Qingjie Qi | Zendy; Xin Li | Zendy; Yan Li | Zendy

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Applications of TVF-EMD in Vital Signal Detection for UWB Radar

Author(s) -

Zhen Yang,

Chi Ma,

Qingjie Qi,

Xin Li,

Yan Li

Publication year - 2021

Publication title -

journal of sensors

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.399

H-Index - 43

eISSN - 1687-7268

pISSN - 1687-725X

DOI - 10.1155/2021/2136614

Subject(s) - heartbeat , radar , vital signs , ultra wideband , computer science , echo (communications protocol) , artificial intelligence , signal (programming language) , wavelet , pattern recognition (psychology) , telecommunications , computer security , medicine , surgery , programming language

When using pulsed ultra-wideband radar (UWB) noncontact detection technology to detect vital signs, weak vital signs echo signals are often covered by various noises, making human targets unable to identify and locate. To solve this problem, a new method for vital sign detection is proposed which is based on impulse ultra-wideband (UWB) radar. The range is determined based on the continuous wavelet transform (CWT) of the variance of the received signals. In addition, the TVF-EMD method is used to obtain the information of respiration and heartbeat frequency. Fifteen sets of experiments were carried out, and the echo radar signals of 5 volunteers at 3 different distances were collected. The analysis results of the measured data showed that the proposed algorithm can accurately and effectively extract the distance to the target human and its vital signs information, which shows vast prospects in research and application.

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