Electromyography (EMG) Signals with Machine Learning Analyze

Abstract

In this study, we will analyse EMG data using ml techniques. Electromyography (EMG) is a method employed 
in biomedical & biomechanics studies to quantify electrical impulses in myocytes. The mission's overarching goal is to create 
and assess ml algorithms for EMG signal analysis & processing, with the expectation that this will lead to better diagnostic 
and therapeutic results. Several unsupervised & supervised ml techniques will be investigated in this study to better identify 
trends in EMG information and make accurate findings. The findings of this study will enhance clinical & biomechanics 
studies by increasing our comprehension of the possibilities of ml in the processing of EMG data.