Title: Multiclass Classification and Regression Analysis of Muscle Fatigue Using Wrist EMG

Year of Publication: Aug - 2019
Page Numbers: 90-95
Authors: Misato Matsushita, Momoyo Ito, Shin-ichi Ito, Minoru Fukumi
Conference Name: The Fifth International Conference on Electronics and Software Science (ICESS2019)
- Japan

Abstract:


Muscles can cause injury by training to improve physical performance. However, there are few ways to assess muscle fatigue currently. Therefore, in this paper, muscle fatigue is evaluated using surface EMG(ElectroMyoGram). The proposed method in this research consists of 4 parts: Measurement, Pre-processing, Feature extraction, and Learning identification parts. The effectiveness of the proposed method is demonstrated in two ways, classification and regression analysis, and comparative verification is conducted.