Micro-Vibration Identification between Humans and Animals Based on HHT and Frequency
Energy Ratio Features Using UWB Radar
YIN Yue1,LV Hao2,QI Fugui2,YU Xiao2
1. Department of Medical Engineering, The General Hospital of Western Theater Command PLA, Chengdu Sichuan 610083, China丨
2. School of Military Biomedical Engineering, Air Force Medical University, Xi’ an Shaanxi 710032, China
Abstract:Objective Proposed an identification method of stationary living bodies based on micro-vibration radar signal using
Hilbert-Huang transform (HHT). Methods The identification of human, rabbit and dog was realized by extracting marginal spectrum
and calculating energy ratio, two kinds of information which can reflect the frequency band characteristics of fretting signal.
Results Based on the statistically significant difference of marginal spectrum and energy ratio information (P<0.01) after HHT
analysis among humans and animals, the accuracy of this method to distinguish humans and animals identification was 91.67%,
and the accuracy of humans, rabbits and dogs precise identification was 83.33%. Conclusion The identification method proposed
in this paper provides a new general approach to recognize motionless humans and animals and has great social value and realistic
significance for increasing rescue efficiency and optimizing rescue resources in disasters and anti-terrorism situations.
殷悦1,吕昊2,祁富贵2,于霄2. 基于HHT和频带能量比特性的人与动物雷达微动信号的辨识[J]. 中国医疗设备, 2021, 36(6): 26-30.
YIN Yue1,LV Hao2,QI Fugui2,YU Xiao2. Micro-Vibration Identification between Humans and Animals Based on HHT and Frequency
Energy Ratio Features Using UWB Radar. China Medical Devices, 2021, 36(6): 26-30.