Electromyograph (EMG) signal analysis to predict muscle fatigue during driving

• Main Authors: Muhammad Amzar Syazani, Mohd Azli, Mahfuzah, Mustafa, Rafiuddin, Abdubrani, Amran, Abdul Hadi, S. N., Aqida, Zarith Liyana, Zahari
• Format: Book Chapter
• Language: English; English; English
• Published: Springer Singapore 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/22861/1/35.%20Electromyograph%20%28EMG%29%20signal%20analysis%20to%20predict%20muscle%20fatigue%20during%20driving.pdf; http://umpir.ump.edu.my/id/eprint/22861/13/52.%20Electromyograph%20%28EMG%29%20Signal%20Analysis%20to%20Predict%20Muscle%20Fatigue%20During%20Driving.pdf; http://umpir.ump.edu.my/id/eprint/22861/14/52.1%20Electromyograph%20%28EMG%29%20Signal%20Analysis%20to%20Predict%20Muscle%20Fatigue%20During%20Driving.pdf; http://umpir.ump.edu.my/id/eprint/22861/; https://link.springer.com/chapter/10.1007/978-981-13-3708-6_35
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

Electromyography (EMG) signal obtained from muscles need advance methods for detection, processing and classification. The purpose of this paper is to analyze muscle fatigue from EMG signals. At beginning, 15 subjects will an-swer a set of questionnaires. The score of the questionnaires will be calc...