International Research Journal of Education and Technology

Electromyography (EMG) is a method used to evaluate levels of muscle activity. When a muscle contracts, an action potential is generated and circulates along the muscle fibers. A healthy individual has normal nerve function with no symptoms, while someone with neuropathy experiences impaired nerve function, leading to symptoms like pain, tingling, or numbness. In EMG, electrodes are connected to the skin, and the electrical activity of muscles is measured, with the results plotted on a graph. This project involves the investigation and interpretation of EMG signals from both healthy individuals and those suffering from neuropathy using MATLAB. The EMG signals obtained are processed and analyzed using signal processing techniques, including bandpass and notch filters, and classified using LDA and SVM classifiers. The purpose of this study is to explore the potential application and track the disease progression and treatment effectiveness in patients with neuromuscular disorders.

Keywords: EMG, MATLAB, Bandpass & Notch filters, SVM & LDA classifiers.