Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0297-2_21
Reference14 articles.
1. Wallmann HW (2007) Muscle fatigue. In: Sports-specific rehabilitation. Churchill Livingstone, pp 87–95
2. Yousif HA et al (2019) Assessment of muscles fatigue based on surface EMG signals using machine learning and statistical approaches: a review. In: IOP conference series: materials science and engineering, vol 705, no 1. https://doi.org/10.1088/1757-899X/705/1/012010
3. Al-Mulla MR, Sepulveda F, Colley M (2011) A review of non-invasive techniques to detect and predict localized muscle fatigue. Sensors 11(4):3545–3594. https://doi.org/10.3390/s110403545
4. Mandal S, Thakur M, Thakur K, Singh BK (2021) Comparative investigation of different classification techniques for epilepsy detection using EEG signals
5. Meek WM, Kucharik MP, Eberlin CT, Naessig SA, Rudisill SS, Martin SD (2022) Calf strain in athletes, vol 0, no 3, pp 1–9
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