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Non-obstructive monitoring of muscle fatigue for low intensity dynamic exercise with infrared thermography technique

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Abstract

Surface electromyography (sEMG) has been widely used in evaluating muscle fatigue among athletes where electrodes are attached on the skin during the activity. Recently, infrared thermography technique (IRT) has gain popularity and shown to be another preferred method in monitoring and predicting muscle fatigue non-obstructively. This paper investigates the correlation between surface temperature and muscle activation parameters obtained using both IRT and sEMG methods simultaneously. Twenty healthy subjects were required to perform a repetitive calf raise exercise with various loads attached around their ankle for 3 min to induce fatigue on the targeted gastrocnemius muscles. Average temperature and temperature difference information were extracted from thermal images, while root mean square (RMS) and median frequency (MF) were extracted from sEMG signals. Spearman statistical analysis performed shows that there is a significant correlation between average temperature with RMS and between temperature difference with MF values at p<0.05. While ANOVA test conducted shows that there is significant impact of loads on RMS and MF where F=12.61 and 3.59, respectively, at p< 0.05. This study suggested that skin surface temperature can be utilized in monitoring and predicting muscle fatigue in low intensity dynamic exercise and can be extended to other dynamic exercises.

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Funding

Authors would like to express gratitude to the Ministry of Higher Education Malaysia and Universiti Teknologi Malaysia for supporting this research under the Institutional Research Grant Vote Number 15J89 and 07G22.

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Authors and Affiliations

  1. School of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia

    Muhammad Faiz Md Shakhih, Nursyazana Ridzuan, Asnida Abdul Wahab, Laila Fadhillah Ulta Delestri, Anis Suzziani Rosslan & Mohammed Rafiq Abdul Kadir

  2. Medical Devices and Technology Center (MEDITEC), Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia

    Asnida Abdul Wahab

  3. Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600, Arau, Perlis, Malaysia

    Nurul Farha Zainuddin

  4. Sports Innovation Technology Centre (SITC), Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia

    Mohammed Rafiq Abdul Kadir

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  1. Muhammad Faiz Md Shakhih
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Correspondence to Asnida Abdul Wahab.

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Shakhih, M.F.M., Ridzuan, N., Wahab, A.A. et al. Non-obstructive monitoring of muscle fatigue for low intensity dynamic exercise with infrared thermography technique. Med Biol Eng Comput 59, 1447–1459 (2021). https://doi.org/10.1007/s11517-021-02387-x

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