Isotonic Muscle Fatigue Prediction for Sport Training Using Artificial Neural Network Modelling
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-60618-7_57
Reference19 articles.
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2. Garber, C.E., et al.: Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise. Med. Sci. Sports Exerc. 43, 1334–1359 (2011)
3. Kuriki, H.U., et al.: EMG Methods for Evaluating Muscle and Nerve Function, pp. 31–54. InTech (2012)
4. Garcia, M.A.C., et al.: An alternative approach in muscle fatigue evaluation from the surface EMG signal. In: 2010 Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, pp. 2419–2422 (2010)
5. Zhang, D., et al.: Development of new muscle contraction sensor to replace sEMG for using in muscles analysis fields. In: 36th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, pp. 6945–6948 (2014)
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