Hand movements analysis with Acoustic Myography Signals

Abstract

Mechanomyography (MMG), in particular the acoustic myogram (AMG), is a non-invasive technique used for recording the sound signal produced by muscles. It can be used to explore the neurophysiological and morphological characteristics of muscles and thus highlight fatigue or even the modification of these characteristics of the latter. In this article, we de velop a measurement platform to record the AMG muscle activity produced during six hand movements. The idea of this work is to show the capabilities of our platform to produce and help to recognize multiple hand movements. The sensor used consists of three condenser microphones with high sensitivity electrets placed on the forearm in order to be more sensitive to extrinsic and intrinsic muscles. The experimental results re ve al visible muscle activity with different levels of amplitude and also frequency, clearly correlated with the strength and vibrations of the muscle fibers.