Endurance Time Prediction using Electromyography

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Author(s): Sébastien Boyas (Université du Maine, France)and Arnaud Guével (Université de Nantes, France)
Copyright: 2014
Pages: 15
Source title: Applications, Challenges, and Advancements in Electromyography Signal Processing
Source Author(s)/Editor(s): Ganesh R. Naik (University of Technology Sydney (UTS), Australia)
DOI: 10.4018/978-1-4666-6090-8.ch010

Keywords: Medical Information Science Reference / Medical Technologies / Medicine & Healthcare

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Abstract

The purpose of endurance time (Tlim) prediction is to determine the exertion time of a fatiguing muscle contraction before it occurs. Tlim prediction would then allow the evaluation of muscle capacities while limiting fatigue and deleterious effects associated with exhaustive exercises. Fatigue is a progressive phenomenon which manifestations can be observed since the beginning of the exercise using electromyography (EMG). Studies have reported significant relationships between Tlim and changes in EMG signal suggesting that Tlim could be predicted from early EMG changes recorded during the first half of the fatiguing contraction. However some methodological factors can influence the reliability of the relationships between Tlim and EMG changes. The aim of this chapter is to present the methodology used to predict Tlim from early changes in EMG signal and the factors that may influence its feasibility and reliability. It will also present the possible uses and benefits of the Tlim prediction.

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Endurance Time Prediction using Electromyography

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