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    A Finite Element Model Simulation of Surface EMG Signals Based on Muscle Tissue Dielectric Properties and Electrodes Configuration

    Teklemariam, A, Cooper, G, Hodson-Tole, EF, Reeves, ND and Costen, NP (2014) A Finite Element Model Simulation of Surface EMG Signals Based on Muscle Tissue Dielectric Properties and Electrodes Configuration. In: 9TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS & DIGITAL SIGNAL PROCESSING (CSNDSP).

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    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.

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