Document Type : Original Article
- Muhammad Manshadi 1
- Ehsan Ranjbar 2
- Reyhaneh Ghasab Sedehi 3
- Navid Hassani 4
- Nader Jafarnia Dabanloo 5
1 Alborz University of Medical Sciences, Karaj, Iran
2 BSc Graduate in Biomedical Engineering. MSc Graduate in Electrical Engineering, Amirkabir University of Technology Tehran, Iran
3 Former Biomedical Engineering Expert, Department of Medical Equipment, ABZUMS, Karaj, Iran.
4 Medical Lab Sciences Technologist, Head of the Department of Medical Equipment, ABZUMS, Karaj, Iran.
5 Department of Biomedical Engineering, Islamic Azad University (IAU), Science and Research Branch, Tehran, Iran
Objectives: The purpose of this study was to classify participants, according to balance test scores, and to detect martial art athletes.
Design: Measures of static and dynamic balance indices were obtained from 4 tests.
Setting: This research took place at a secondary school in Iran.
Participants: Fifty healthy volunteers participated in this experiment.
Main outcome measures: Due to differences in power and different pressures applied on joints and muscles, athletes in different sports and also non-athletes may have different grades in balance tests. There isn’t enough information on specific or non-specific balance in sports.
Results: Balance test scores were used for inputs of classifiers where the applied methods included the support vector machine, k-nearest neighbors algorithm, and artificial neural network. Only by the result of 4 tests, detection accuracy of 90.5% was achieved.
Conclusion: Balance indices are good features for detection of martial art athletes. This may also be useful for talent identification in martial arts.