A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue

By Mohammed R. Al-Mulla, Francisco Sepulveda, Martin J. Colley. Italian National Conference on Sensors, 2011

295 citations recorded by the source corpus.

Muscle fatigue is an established area of research and various types of muscle fatigue have been investigated in order to fully understand the condition. This paper gives an overview of the various non-invasive techniques available for use in automated fatigue detection, such as mechanomyography, electromyography, near-infrared spectroscopy and ultrasound for both isometric and non-isometric contractions. Various signal analysis methods are compared by illustrating their applicability in real-time settings. This paper will be of interest to researchers who wish to select the most appropriate methodology for research on muscle fatigue detection or prediction, or for the development of devices that can be used in, e.g., sports scenarios to improve performance or prevent injury. To date, research on localised muscle fatigue focuses mainly on the clinical side. There is very little research carried out on the implementation of detecting/predicting fatigue using an autonomous system, although recent research on automating the process of localised muscle fatigue detection/prediction shows promising results.

Subfields: Biomedical Engineering, Orthopedics and Sports Medicine

View Paper: https://www.semanticscholar.org/paper/5074db3807cf2198237685560a87b3e20f6e8378

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In Biomedical Engineering

Citations in the corpus

Surface Electromyography Signal Processing and Classification Techniques (2013, methodology): “Del and Park suggested that ANN is a suitable technique for real-time applications of EMG [97].”
A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions (2016, methodology): “On the other hand, Integrated EMG (IEMG) features used to determine an increase in signal period, power and amplitude reﬂects a higher muscle ﬁber recruitment for a ﬁxed external force [19].”