Classification of needle-EMG resting potentials by machine learning.
Journal:
Muscle & nerve
Published Date:
Dec 18, 2018
Abstract
INTRODUCTION: The diagnostic importance of audio signal characteristics in needle electromyography (EMG) is well established. Given the recent advent of audio-sound identification by artificial intelligence, we hypothesized that the extraction of characteristic resting EMG signals and application of machine learning algorithms could help classify various EMG discharges.