1. Paillard T. Effects of general and local fatigue on postural control: a review. Neurosci Biobehav Rev. 2012;36(1):162-76. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
2. Zhang G, Chen TLW, Wang Y, Tan Q, Hong TTH, Peng Y, et al. Effects of prolonged brisk walking induced lower limb muscle fatigue on the changes of gait parameters in older adults. Gait Posture. 2023;101:145-53. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
3. Aglioti SM, Cesari P, Romani M, Urgesi C. Action anticipation and motor resonance in elite basketball players. Nat Neurosci. 2008;11(9):1109-16. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
4. Sofyan D, Budiman IA. Basketball jump shot technique design for high school athletes: Training method development. Journal Sport Area. 2022;7(1):47-58. [
View at Publisher] [
DOI] [
Google Scholar]
5. Nazmi N, Abdul Rahman MA, Yamamoto S-I, Ahmad SA, Zamzuri H, Mazlan SA. A review of classification techniques of EMG signals during isotonic and isometric contractions. Sensors (Basel).2016;16(8):1304. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
6. Samuel OW, Asogbon MG, Geng Y, Al-Timemy AH, Pirbhulal S, Ji N, et al. Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects. IEEE Access. 2019;7:10150-65. [
View at Publisher] [
DOI] [
Google Scholar]
7. Abbaspour S, Lindén M, Gholamhosseini H, Naber A, Ortiz-Catalan M. Evaluation of surface EMG-based recognition algorithms for decoding hand movements. Med Biol Eng Comput. 2020;58(1):83-100. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
8. Pojskic H, Sisic N, Separovic V, Sekulic D. Association between conditioning capacities and shooting performance in professional basketball players: an analysis of stationary and dynamic shooting skills. J Strength Cond Res. 2018;32(7):1981-92. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
9. Poyil AT, Steuber V, Amirabdollahian F. Influence of muscle fatigue on electromyogram-kinematic correlation during robot-assisted upper limb training. J Rehabil Assist Technol Eng. 2020;7:2055668320903014. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
10. Zeygham Jahani M, Yaghoubi A, Younessi Heravi MA. Time and Frequency Analysis of EMG Signals for Simultaneous Evaluation of Knee Muscles in Concentric and Eccentric Strength Training in Healthy Men. J. Rehabil. Sci. 2022;9(4):185-90. [
View at Publisher] [
DOI] [
Google Scholar]
11. Tkach D, Huang H, Kuiken TA. Study of stability of time-domain features for electromyographic pattern recognition. J Neuroeng Rehabil. 2010:7:21. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
12. Bagheri T, Abedi B, Hedayatpour N. Effects of 12 Weeks Concentric and Eccentric Resistance Training on Neuromuscular Adaptation of Quadriceps Muscle. J. Rehabil. Sci. 2020;7(4):161-6. [
View at Publisher] [
DOI] [
Google Scholar]
13. Sun J, Liu G, Sun Y, Lin K, Zhou Z, Cai J. Application of Surface Electromyography in Exercise Fatigue: A Review. Front Syst Neurosci. 2022;16:893275. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
14. Naderi S, Naserpour H, Mohammadi-Pour F, Amir-Seyfaddini M. A. Comparative Study on the Effects of Functional and Non-Functional Fatigue Protocols on Dynamic Balance of Amateur Basketball Players. Sports Biomech. 2019;5(3):168-177. [
View at Publisher] [
DOI] [
Google Scholar]
15. Shradhanjali A, Chowdhury S, Kumar N. Power spectral density estimation of EMG signals using parametric and non-parametric approach. Glob. J. Eng. Res. 2013;2(4):111-17. [
View at Publisher] [
Google Scholar]
16. Zecca M, Micera S, Carrozza MC, Dario P. Control of multifunctional prosthetic hands by processing the electromyographic signal. Crit Rev Biomed. Eng.2002;30(4-6):459-85. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
17. Rampichini S, Vieira TM, Castiglioni P, Merati G. Complexity analysis of surface electromyography for assessing the myoelectric manifestation of muscle fatigue: A review. Entropy (Basel). 2020;22(5):529. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
18. Pakosz P, Konieczny M, Domaszewski P, Dybek T, Gnoiński M, Skorupska E. Comparison of concentric and eccentric resistance training in terms of changes in the muscle contractile properties. J Electromyogr Kinesiol. 2023:73:102824. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]
19. Shanshan LV, Yanyu DONG. Analysis of different injuries of basketball players based on surface electromyography. Rev Bras Med Esporte. 2021;27:23-6. [
View at Publisher] [
DOI] [
Google Scholar]
20. Gonzalez-Izal M, Malanda A, Navarro-Amézqueta I, Gorostiaga EM, Mallor F, Ibañez J, et al. EMG spectral indices and muscle power fatigue during dynamic contractions. J Electromyogr Kinesiol. 2010;20(2):233-40. [
View at Publisher] [
DOI] [
PMID] [
Google Scholar]