Healthy Ways to Cope with Stress: Home exercise advice for people during the COVID-19 By sEMG

• Published in: 2021 2nd International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE) pp. 673 - 678
• Main Authors: Jiang, Luoyuan, Li, Ruoxi, Wang, Zizhong, Lin, Zeshun, Li, Sile
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2021
• Subjects: Electrodes; Electromyography; Fatigue; Feature extraction; Multiple time window; Muscle fatigue and non-fatigue; Muscle fatigue classification; Muscles; Support vector machines; Surface electromyography; Wires

Electromyography has been extensively used in a variety of fields. By using feature extraction to detect and analyze the surface EMG signal of Electromyography, muscle fatigue caused by daily life workout could be detected more timely. Here we intend to utilize this feature of using feature extracti...