Firing Rate Estimation from Intramuscular Recordings

Abstract

A deconvolution algorithm for estimating motor unit (MU) firing rate (FR) from surface electromyographic (EMG) signal is being developed. To validate the results obtained with this algorithm, indwelling and surface EMG signals were recorded simultaneously so that firing rates could be estimated from both sets independ- ently. A decomposition program was used for extracting intramuscular signals into their constituent motor unit action potential (MUAP) trains and estimating their corresponding FR. Some preliminary results of the MUAP decomposition is presented here.