Title :
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
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;
Conference_Titel :
Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
Conference_Location :
Manchester
DOI :
10.1109/CSNDSP.2014.6923823
