生物医学工程研究2025，Vol.44Issue(5)：297-302,6.DOI:10.19529/j.cnki.1672-6278.2025.05.04
基于多模态生理信号的体力疲劳定量建模方法研究
Research on quantitative modeling method of physical fatigue based on multimodal physiological signals
王傲 1张学永 1周正 2唐洪2
作者信息
- 1. 中国航空工业集团有限公司 沈阳飞机设计研究所,沈阳 110035
- 2. 大连理工大学 生物医学工程学院,大连 116024
- 折叠
摘要
Abstract
To quantitatively assess the physical fatigue state of ground crew during maintenance operations,we fused multimodal sig-nals such as surface electromyography(sEMG),electrocardiogram(ECG),photoplethysmography(PPG)and proposed a physical fatigue assessment method for ground crew maintenance work.Firstly,10 ground crew members were selected to perform the action of lunge with upper hands operation,and their physiological signals were collected.Then,the BorgCR-10 scale was taken as the reference scale for fa-tigue level,a model from physiological characteristics to fatigue level was established using the support vector machine.The results showed that the linear kernel support vector regression(SVR)model had the best prediction results in the 12 s sliding window case,and it also had the advantages of real-time performance and accuracy.This study confirms the effectiveness of multimodal signal fusion in fa-tigue assessment,and can provide technical support for optimizing the efficiency of ground crew maintenance operations.关键词
连续疲劳/支持向量回归/多模态/生理信号/地勤Key words
Continuous fatigue/Support vector regression/Multimodal/Physiological signals/Ground crew分类
医药卫生引用本文复制引用
王傲,张学永,周正,唐洪..基于多模态生理信号的体力疲劳定量建模方法研究[J].生物医学工程研究,2025,44(5):297-302,6.
