The aim of this study is to introduce a new parameter for fatigue investigations, which relies on a bidimensional analysis of sEMG signals in temporal and spectral domains. The new parameter, the Fatigue Vector, is defined in a space domain whose coordinates are the amplitude and the mean spectral frequency of the sEMG signal. The performance of the Fatigue Vector has been compared to those of classical parameters. The analysis has been carried on signals recorded from Rectus Femoris, Vastus Lateralis and Vastus Medialis during knee extension repetitions performed until exhaustion. The task was repeated twice with different biomechanical loads in order to test the muscular activity variations with respect to the different force demands. The performance of the Fatigue Vector in assessing the occurrence of muscular fatigue are promising, and the obtained preliminary results open an interesting scenario for the application of this parameter to several fields. © Springer International Publishing Swit zerland 2014.

The fatigue vector: A new bi-dimensional parameter for muscular fatigue analysis

cristiano de marchis;
2014-01-01

Abstract

The aim of this study is to introduce a new parameter for fatigue investigations, which relies on a bidimensional analysis of sEMG signals in temporal and spectral domains. The new parameter, the Fatigue Vector, is defined in a space domain whose coordinates are the amplitude and the mean spectral frequency of the sEMG signal. The performance of the Fatigue Vector has been compared to those of classical parameters. The analysis has been carried on signals recorded from Rectus Femoris, Vastus Lateralis and Vastus Medialis during knee extension repetitions performed until exhaustion. The task was repeated twice with different biomechanical loads in order to test the muscular activity variations with respect to the different force demands. The performance of the Fatigue Vector in assessing the occurrence of muscular fatigue are promising, and the obtained preliminary results open an interesting scenario for the application of this parameter to several fields. © Springer International Publishing Swit zerland 2014.
2014
978-3-319-00845-5
978-3-319-00846-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3239906
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