软件导刊2025，Vol.24Issue(5)：16-27,12.DOI:10.11907/rjdk.241299
基于生理信号的体征疲劳检测方法综述
Physiological Signal-Based Methods for Fatigue Detection:A Review
摘要
Abstract
Fatigue can lead to potential cognitive impairment,causing the brain to lose focus and decision-making abilities,and is one of the important factors leading to accidents in fields such as transportation,aerospace,and medicine,posing a threat to human life safety.Firstly,a systematic review of fatigue detection methods based on physiological signals will be conducted,with a focus on three detection methods:func-tional near-infrared neuroimaging(fNIRS),photoplethysmography(PPG),and electroencephalography(EEG);Secondly,summarize the technical work in the field of fatigue detection from the aspects of measurement principles,data preprocessing,detection algorithms,and mul-timodal fusion;Finally,the limitations of current fatigue detection methods based on physiological signals are analyzed,and new suggestions are proposed to further improve the accuracy and robustness of fatigue detection methods.关键词
功能性近红外脑成像/光电容积脉搏波/脑电图/疲劳检测/运动伪影/多模态Key words
functional near-infrared brain imaging/photoelectric volumetric pulse wave/electroencephalography/fatigue detection/mo-tion artifacts/multimodality分类
信息技术与安全科学引用本文复制引用
沈慧娟,苏彤,徐静舟,徐淑雨,张学典,马佩..基于生理信号的体征疲劳检测方法综述[J].软件导刊,2025,24(5):16-27,12.基金项目
国家重点研发计划项目(2017YFC0110200) （2017YFC0110200）
