Kumar Arun, Kapse Rohith C, Paul Navneet, Vanjare Anil M, Omkar S N
Department of Aerospace Engineering, Indian Institute of Science, Bengaluru, Karnataka, India.
Int J Yoga. 2018 Sep-Dec;11(3):201-207. doi: 10.4103/ijoy.IJOY_1_18.
Yoga has origins speculated to date back to pre-Vedic Indian period and is practiced as a common exercise, both in India as well as all around the world. Although the yoga practices are ages old, there is not much research literature available. Moreover, with the advancement in technology, the modern analysis tools are not used up to their full potential.
This research focuses on developing a framework for analyzing trikonasana, using the optical motion capture system, and validating the noninvasive method for analyzing muscle activity in prominent muscles while performing trikonasana.
We have adopted the noninvasive analysis method using optical motion capture system OptiTrack™ for recording the human motion and musculoskeletal modeling software LifeMod™ to analyze the muscle activity while performing trikonasana. Surface electromyography (sEMG) studies were performed using Trigno™ (Delsys Inc.) wireless sEMG sensors to validate the LifeMod simulation results pertaining muscle activation.
It was observed that the characteristics of the sEMG match to that of the estimated muscle tension from the architecture used in this study. The muscle groups such as external right obliques muscles, rectus abdominis of the front leg, and gluteus maximus and gluteus medius of the rear leg were observed to undergo major activation during an isometric contraction while performing trikonasana. The magnitudes of the muscle tension during the left bend depict a close resemblance to the muscle tension magnitudes during the right bend.
The optical motion capture system and musculoskeletal modeling software can be used to analyze muscle activity in any yoga exercise noninvasively. Since the yoga exercises majorly require the practitioner to maintain a certain posture for a considerable duration, our approach can be used to find the important muscles involved and their corresponding muscle tension when they undergo isometric contraction.
瑜伽的起源据推测可追溯到吠陀时代之前的印度时期，在印度乃至全世界都作为一种常见的运动方式被人们练习。尽管瑜伽练习已有数千年历史，但相关的研究文献并不多。此外，随着技术的进步，现代分析工具并未得到充分利用。
本研究着重于利用光学运动捕捉系统开发一个分析三角式的框架，并验证在进行三角式时分析主要肌肉中肌肉活动的非侵入性方法。
我们采用了非侵入性分析方法，使用光学运动捕捉系统OptiTrack™记录人体运动，并使用肌肉骨骼建模软件LifeMod™分析进行三角式时的肌肉活动。使用Trigno™（Delsys公司）无线表面肌电图（sEMG）传感器进行表面肌电图研究，以验证与肌肉激活相关的LifeMod模拟结果。
观察到sEMG的特征与本研究中所采用架构估计的肌肉张力特征相匹配。在进行三角式等长收缩时，观察到右侧腹外斜肌、前腿腹直肌以及后腿臀大肌和臀中肌等肌肉群会经历主要激活。左侧弯曲时的肌肉张力大小与右侧弯曲时的肌肉张力大小非常相似。
光学运动捕捉系统和肌肉骨骼建模软件可用于非侵入性地分析任何瑜伽练习中的肌肉活动。由于瑜伽练习主要要求练习者在相当长的时间内保持特定姿势，我们的方法可用于找出等长收缩时涉及的重要肌肉及其相应的肌肉张力。
