Muscle activity and Ground Reaction Force-based control strategies for actuating soft wearables using Squat motion

Priyanka Ramasamy, G. Renganathan, Y. Kurita
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引用次数: 1

Abstract

The squat posture is the most recommended activity for training the lower body muscles primarily in sports and rehabilitation. However, the current soft exosuit wearable is actuated based on the assist and resist nature of the squat. Limitations of such soft wearables include parameter optimization to enhance the subject's performance. Hence, we proposed an approach to determine the feasible lower limb muscular activity by obtaining surface electromyographic (sEMG) signals. In contrast, the vertical ground reaction forces (vGRF) were obtained from force plates to cross-validate the importance of vGRF and its overlapping nature with the sEMG data. Three healthy volunteers with no abnormalities were included in this study. Each participant was allowed to perform unloaded isometric squat motion in three phases. The phases include proper eccentric (30%), load at peak (60 %) and concentric phases (100%) of the predefined squat sessions. Electromyographic signals (Delsys Inc., Boston, MA, USA) were obtained for seven major muscles in the lower limb using Trigno Wireless sensors and the force plate data were obtained in synchronization using Bertec Solutions. The comparative results confirmed that the Rectus Femoris muscle of the quadriceps group has maximum activity during the descent phase of (116.2)%MVC. At the same time, the Vastus Medialis and Vastus Lateralis muscles from the quadriceps group show a higher activation pattern during load at peak phase, even though the Rectus Femoris begin to have lower activation during the ascent phase. Also, the amplitude characteristics of the Vastus Medialis and Vastus Lateralis and Gluteus Maximus muscle groups show more significance in the vertical ground reaction force (vGRF) pattern. These findings indicate that the vGRF could also be used as an actuating parameter in addition to sEMG to actuate the soft wearable exosuits based on biomechanical applications.
肌肉活动和地面反作用力为基础的控制策略,驱动软可穿戴设备使用深蹲运动
在运动和康复中,深蹲姿势是最受推荐的锻炼下半身肌肉的活动。然而,目前的软外套可穿戴设备是基于蹲下的辅助和抵抗特性来驱动的。这种软可穿戴设备的局限性包括参数优化,以提高受试者的性能。因此,我们提出了一种通过获得表面肌电图(sEMG)信号来确定可行的下肢肌肉活动的方法。相反,垂直地面反作用力(vGRF)从力板中获得,以交叉验证vGRF的重要性及其与表面肌电信号数据的重叠性。本研究纳入了3名无异常的健康志愿者。每个参与者被允许在三个阶段进行无负重的等距深蹲运动。阶段包括适当的偏心(30%),峰值负荷(60%)和预先确定的深蹲阶段的同心阶段(100%)。使用Trigno Wireless传感器获得下肢7块主要肌肉的肌电信号(Delsys Inc., Boston, MA, USA),并使用Bertec Solutions同步获得力板数据。对比结果证实股四头肌组股直肌在(116.2)%MVC的下降阶段活动最大。同时,股四头肌组的股内侧肌和股外侧肌在负荷高峰期表现出较高的激活模式,尽管股直肌在上升阶段开始具有较低的激活。此外,股内侧肌群、股外侧肌群和臀大肌群的振幅特征在垂直地反力(vGRF)模式中更为显著。这些发现表明,vGRF也可以作为肌电图以外的驱动参数,用于基于生物力学应用的柔性可穿戴外骨骼的驱动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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