Chaotic Complexity Determination of Surface EMG Signals
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0472-9_43
Reference9 articles.
1. Meekins GD, So Y, Quan D (2008) American Association of Neuromuscular and Electrodiagnostic Medicine evidenced-based review: use of surface electromyography in the diagnosis and study of neuromuscular disorders. Muscle Nerve Off Am Assoc Electrodiagn Med 38:1219–1224
2. Rampichini S, Vieira TM, Castiglioni P, Merati G (2020) Complexity analysis of surface electromyography for assessing the myoelectric manifestation of muscle fatigue: a review. Entrophy. https://doi.org/10.3390/E22050529
3. Pincus S (1995) Approximate entropy (ApEn) as a complexity measure. Chaos Interdiscip J Nonlinear Sci 5:110–117
4. Sasidharan D, Venugopal G, Ramakrishnan S (2022) Muscle fatigue analysis by visualization of dynamic surface EMG signals using Markov transition field, pp 3611–3614
5. Gottwald GA, Melbourne I (2004) A new test for chaos in deterministic systems. Proc R Soc Lond Ser A Math Phys Eng Sci 460:603–611
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