A Deep Learning Approach for Mental Fatigue State Assessment

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 2; p. 555
• Main Authors: Fan, Jiaxing, Dong, Lin, Sun, Gang, Zhou, Zhize
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.01.2025; MDPI
• Subjects: Accuracy; Algorithms; Artificial intelligence; Cardiovascular disease; Classification; Deep Learning; deep neural network; ECG; Efficiency; Electrocardiogram; Electrocardiography; Exercise intensity; Fatigue; Fourier transforms; Heart; Heart beat; Heart Rate - physiology; Humans; Injuries; Kinematics; mental fatigue; Mental Fatigue - diagnosis; Mental Fatigue - physiopathology; Nervous system; Neural networks; Neural Networks, Computer; Physiological aspects; Physiology; Questionnaires; Signal Processing, Computer-Assisted; Support Vector Machine; Time series; Wavelet transforms; ECG; electrocardiogram; mental fatigue; deep neural network

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