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A Mathematical Method for Electromyography Analysis of Muscle Functions during Yogasana
V Devaraju1, Ashitha Besagarahalli Ramesh2, K Kshamith Alva2
1Deparment of Mechanical, National Institute of Technology, Surathkal, Karnataka, India.
International Journal of Yoga
|September 24, 2019
Summary
This study introduces a mathematical method using surface electromyography (sEMG) to analyze muscle activity during yoga poses. The slope of a best-fit line effectively quantifies muscle engagement for improved Yogasana performance.
Area of Science:
- Biomechanics
- Sports Science
- Physiology
Background:
- Yoga practice is increasingly popular, requiring precise body movements and muscle activation for optimal benefits.
- Performing Yogasanas with perfection is crucial for achieving desired therapeutic and fitness outcomes.
- Understanding muscle functionality during yoga is essential for technique refinement and injury prevention.
Purpose of the Study:
- To develop and introduce a novel mathematical method for quantifying muscle functionality during Yogasanas.
- To establish a reliable metric for assessing muscle activation patterns in yoga practitioners.
- To provide a quantitative approach for analyzing the biomechanics of yoga postures.
Main Methods:
- Utilized Delsys surface electromyography (sEMG) - Trigno™ sensors for data acquisition.
- Recorded and analyzed muscle activation patterns during the performance of specific Yogasanas.
- Employed linear regression analysis to fit normalized sEMG data from final yoga postures.
Main Results:
- Normalized sEMG signals were used to quantify performance during yoga.
- Linear regression analysis successfully modeled the sEMG data during the final posture.
- The slope of the best-fit line emerged as a key indicator of muscle activity.
Conclusions:
- The slope of the best-fit line serves as a valuable metric for monitoring muscle activity in Yogasana.
- This mathematical approach offers a reliable method for assessing yoga performance.
- The proposed method has the potential for extension to analyze a wider range of yoga asanas.
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