Abstract ▼ AI-Helper

Electromyography (EMG) is a sensor to diagnose the health of muscle with the placement of electrodes through the surface of the skin. Nowadays, muscular disorder occurs where the problem is the cause of muscle weakness, pain, fatigue, and also due to paralysis. Biomedical applications where the elec...

Electromyography (EMG) is a sensor to diagnose the health of muscle with the placement of electrodes through the surface of the skin. Nowadays, muscular disorder occurs where the problem is the cause of muscle weakness, pain, fatigue, and also due to paralysis. Biomedical applications where the electromyography (EMG) sensor is used to collect data of a normal muscles contradiction, and there are two classifiers which are linear discriminant analysis (LDA) and support vector machines (SVM) that are prompt to undergo with the process and also mean absolute value feature (MAV) traces are used to extract from the electromyography (EMG). Ascertain part of body muscle targeted with the different subject with certain body mass index (BMI), the movement contradiction of the muscles through the sensor pad electrodes that are attached to the human body where the point of muscles that wanted to observe and the data collected or being used. The study provides guidelines for the prediction of muscle fatigue using electromyography (EMG) sensors with classification methods that are approved.