Devaraju V, Ramesh Ashitha Besagarahalli, Alva K Kshamith, Debur V Ramesh, Omkar S N
Deparment of Mechanical, National Institute of Technology, Surathkal, Karnataka, India.
Deparment of Aerospace, Indian Institute of Science, Bengaluru, Karnataka, India.
Int J Yoga. 2019 Sep-Dec;12(3):240-246. doi: 10.4103/ijoy.IJOY_63_18.
For the past few decades, the number of people practicing yoga is increasing in number. Yogasanas need smooth body movements in the process of attaining defined postures that the person must hold on to activate specific muscles of the body related to that asana. Yogasanas should be performed with perfection to derive maximum benefits.
The objective of this study was to introduce a mathematical method to understand muscle functionalities while doing Yogasanas.
Used Delsys surface electromyography (sEMG) - Trigno™ (Delsys Inc.) sensors for data recording and analyzing muscle activation patterns.
Performance analysis was quantified using normalized sEMG signals. The sEMG data during final posture were fit to a straight line using linear regression analysis.
The results suggested that the slope of the best fit line is a good metric for monitoring the muscle activity during Yoga performance. The advantages of this method are the slope of the line is a good indicator for monitoring the muscle activity while doing Yogasana and the method suggested in this study can be extended for analyzing other asanas as well.
在过去几十年里，练习瑜伽的人数不断增加。在达到特定体式的过程中，瑜伽体式需要流畅的身体动作，练习者必须保持这些体式以激活与该体式相关的身体特定肌肉。为了获得最大益处，瑜伽体式的执行应该尽善尽美。
本研究的目的是引入一种数学方法来理解做瑜伽体式时的肌肉功能。
使用Delsys表面肌电图（sEMG）——Trigno™（Delsys公司）传感器来记录数据并分析肌肉激活模式。
使用归一化的sEMG信号对表现进行量化分析。通过线性回归分析将最终体式时的sEMG数据拟合成一条直线。
结果表明，最佳拟合线的斜率是监测瑜伽练习过程中肌肉活动的一个良好指标。该方法的优点在于直线斜率是做瑜伽体式时监测肌肉活动的良好指标，并且本研究中提出的方法也可扩展用于分析其他体式。
