A Finite Element Model simulation of surface EMG signals based on muscle tissue dielectric properties and electrodes configuration

Author

Teklemariam, A. ; Cooper, G. ; Hodson-Tole, E.F. ; Reeves, N.D. ; Costen, N.P.

Author_Institution

Sch. of Eng., Manchester Metropolitan Univ., Manchester, UK

fYear

2014

fDate

23-25 July 2014

Firstpage

193

Lastpage

197

Abstract

A three layer Finite Element Model of skin, fat and skeletal muscle tissue is implemented. The model aims to study the influence of the dielectric properties of the muscle on electromyography signals. The paper focuses on the electrode configuration and its effect on the muscle myoelectric activity detected at the surface. Unlike previous models, the source signal is be generated from recorded intramuscular myoelectric measurements. The finite element model is compared to experimental data and shows a strong correlation in the frequency spectra (r=0.7276) for monopolar recordings but deviates from experimental observations for a bipolar arrangement. Modelling inaccuracies from the input data and experimental noise related to the bipolar modelling are explored.

Keywords

biomedical electrodes; electromyography; finite element analysis; medical signal processing; muscle; signal denoising; skin; bipolar arrangement; bipolar modelling; dielectric properties; electrode configuration; fat; frequency spectra; intramuscular myoelectric measurements; monopolar recordings; noise; skeletal muscle tissue; skin; source signal; surface EMG signals; three layer finite element model; Data models; Electrodes; Electromyography; Finite element analysis; Mathematical model; Muscles; Noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on

Conference_Location

Manchester

Type

conf

DOI

10.1109/CSNDSP.2014.6923823

Filename

6923823