Brain electrical signal and physiological signal fused fatigue detection system

Abstract

The invention provides a brain electrical signal and physiological signal fused fatigue detection system. Brain electrical signals closely associated with metal state, more capable of reflecting activities of the brain itself and having higher time resolution are adopted, other physiological methods of electrocatdiogram, electrooculogram, electromyography, breath, blood oxygen and the like are infused, the task status can be monitored in real time, efficiency of the fatigue detection system is improved, and comprehensive and dynamic advantage combination of the system is fully realized. The brain electrical signal and physiological signal fused fatigue detection system comprises a signal acquisition unit used for acquiring human body signals, the signal acquisition unit comprises a brain electrical acquisition unit used for acquiring the brain electrical signals, an electrocatdiogram acquisition unit used for acquiring electrocatdiogram signals, an electromyography acquisition unit used for acquiring electromyography signals, a signal processing unit used for receiving and processing the human body signals and a fatigue calibration unit used for calibrating fatigue according to the signals processed through the signal processing unit.

Description

technical field [0001] The invention relates to a fatigue detection system, in particular to a fatigue detection system which fuses electroencephalogram signals and physiological signals. Background technique [0002] At present, the detection of fatigue state can be divided into subjective definition and objective evaluation. Among them, subjective methods mainly include Eysenck Personality Questionnaire (EPQ), Simple Coping Style Questionnaire, Symptom Self-Rating Scale (SCL-90), Psychological Self-Rating Scale (SAS), Depression Scale (HAMD), etc.; objective evaluation It mainly includes means based on expression features, physiological features and behavioral features, through signal collection, analysis and processing, feature extraction and classification recognition, and finally completes fatigue monitoring based on a single feature. [0003] Subjective definition can reflect the reasons for the state change to a certain extent, but it is easily interfered by subjecti...

AI Technical Summary

Problems solved by technology

[0003] Subjective definition can reflect the reasons for the state change to a certain extent, but it is easily interfered by subjective factors. When the pilot is in a bad physical or psychological state, he cannot determine the correct evaluation ability of the self state; the commonly used objective evaluation is basically based on a single feature information processing, can not fully and accurately realize the status monitoring of the operator

Images