Machine Learning Classification of Non-Specifically Trained Muscle between Endurance and Power Athletes

Author:

Sulaiman Maisarah1ORCID,Azaman Aizreena2ORCID

Affiliation:

1. Dept. of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia

2. Dept. of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia and Sport Innovation and Technology Centre, Institute of Human Centered Engineering, Malaysia

Funder

Ministry of Education, Malaysia

Publisher

ACM

Reference23 articles.

1. Cellular Aspects of Muscle Specialization Demonstrate Genotype – Phenotype Interaction Effects in Athletes

2. Costill , D. , Daniels , J. , Evans , W., J. Fink , W. , Krahenbuhl , G. and Saltin , B . Skeletal enzymes and fibre composition in male and female track athletes , 1976 . Costill, D., Daniels, J., Evans, W., J. Fink, W., Krahenbuhl, G. and Saltin, B. Skeletal enzymes and fibre composition in male and female track athletes, 1976.

3. Nine genetic polymorphisms associated with power athlete status – A Meta-Analysis

4. Characteristics of myosin profile in human vastus lateralis muscle in relation to training background. Folia histochemica et cytobiologica / Polish Academy of Sciences;Zawadowska B.;Polish Histochemical and Cytochemical Society

5. Distribution of motor unit potential velocities in the biceps brachii muscle of sprinters and endurance athletes during short static contractions at low force levels;Klaver-Król E. G.;Journal of Electromyography and Kinesiology,2010

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