Alertness and mental fatigue classification using computational intelligence in an electrocardiography and electromyography system with off-body area network

• Main Authors: Concepcion, Ronnie S., Manalo, Jommel S., Garcia, Ave Jianne D., Legaspi, Rhaniel A., Prestousa, Jun Angelo, Pascual, Gio Paolo C., Firmalino, Junco S., Ilagan, Lorena C.
• Format: text
• Published: Animo Repository 2020
• Subjects: Mental fatigue; Electrocardiography; Electromyography; Computational intelligence; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1549; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2548/type/native/viewcontent
• Institution: De La Salle University

Preempting mental fatigue may cause decrease in the quality of life and the worst accidents. A system of electrocardiography and electromyography signals can enhance the detection of alertness and mental fatigue. This study determines the suitability of some computational intelligence, namely, artif...