Research on human life signal separation and reconstruction method based on optimized variational modal decomposition
10.19745/j.1003-8868.2024042
- VernacularTitle:基于优化变分模态分解的人体生命信号分离与重构方法研究
- Author:
Xian-Qiong WEN
1
;
Xin-Yu WANG
;
Ding SHI
;
Kun ZHANG
Author Information
1. 西安培华学院智能科学与工程学院,西安 710125
- Keywords:
life detection radar;
variational mode decomposition;
particle swarm optimization algorithm;
human vital signs;
life detection;
signal separation and reconstruction
- From:
Chinese Medical Equipment Journal
2024;45(3):9-15
- CountryChina
- Language:Chinese
-
Abstract:
Objective To propose a human life signal separation and reconstruction method based on optimized variational mode decomposition(VMD)to improve the accuracy and timeliness of the life detection radar in extracting and separating human life signals such as heartbeat and respiration.Methods Firstly,the particle swarm optimization algorithm was used to optimize the parameters of VMD,and the human life signal was decomposed into a series of intrinsic mode functions(IMFs);secondly,the alignment entropy of each IMF was calculated,the noise was removed based on the alignment entropy threshold,and the remaining components were reconstructed to form human life signals;finally,the method proposed was compared with infinite impulse response(IIR)filtering,VMD and complete ensemble empirical mode decomposition with adaptive nosie(CEEMDAN)to verify its performance.Results Under different noise levels the proposed method outperformed IIR filtering,VMD and CEEMDAN in evaluation metrics of signal-to-noise ratio and root-mean-square error,and behaved better than CEEMDAN in terms of computational time-consumption.Conclusion The proposed method realizes rapid separation and reconstruction of vital signals such as heartbeat and respiration while effectively filtering out the noise,which has broad application prospects in the fields of non-contact vital signs detection of bum/scald patients,infectious disease patients and newborns and the search and rescue of buried casualties after a disaster.[Chinese Medical Equipment Journal,2024,45(3):9-15]
