任务复杂性对肌肉激活和姿势摇摆的影响:老年人平衡控制的研究。

Longbin Zhang, Ananda Sidarta, Yu Chin Lim, Carol Er, Xiaoyue Yan, Tsung-Lin Wu, Wei Tech Ang
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引用次数: 0

摘要

在这项研究中,我们研究了老年人在不同姿势条件下的肌肉激活模式和姿势摇摆。记录了7名老年人在四种站立任务中的下肢和躯干肌肉活动:双站立、串联站立、串联站立加认知任务和串联站立加认知和运动联合任务(TSCM)。我们分析了CoP(压力中心)特征、EMG(肌电图)模式以及EMG-CoP之间的一致性,以深入了解神经肌肉协调和平衡控制。我们的研究结果表明,任务复杂性显著影响姿势稳定性,串联站立-特别是tscm -导致前后轴不稳定性增加。关键的稳定肌肉,如腓肠肌内侧肌和胫骨前肌,在复杂任务下表现出高度激活和强EMGCoP一致性,突出了它们在抵消重力以保持平衡方面的重要作用。肌肉激活的横向不对称也被观察到,左侧肌肉始终比右侧肌肉表现出更大的活动,这表明侧面对姿势控制有贡献。这些结果强调了特定肌肉在具有挑战性的姿势任务中的稳定性的重要性,并可能为设计有针对性的干预措施提供有价值的见解,包括机器人康复系统和辅助技术,以增强老年人的平衡和降低跌倒风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Muscle Activation and Postural Sway in Response to Task Complexity: A Study of Balance Control in Older Adults.

In this study, we investigate muscle activation patterns and postural sway in older adults across different stance conditions with varying challenges. Muscle activity from lower limb and trunk muscles was recorded in seven older adults during four stance tasks: double stance, tandem stance, tandem stance with a cognitive task, and tandem stance with combined cognitive and motor tasks (TSCM). We analyzed CoP (centre of pressure) features, EMG (electromyography) patterns, and the coherence between EMG-CoP, to gain insights into neuromuscular coordination and balance control. Our findings indicate that task complexity significantly impacts postural stability, with tandem stances-particularly TSCM-leading to increased instability along the anterior-posterior axis. Key stabilizing muscles, such as the gastrocnemius medialis and tibialis anterior, showed heightened activation and strong EMGCoP coherence under complex tasks, highlighting their essential role in counteracting gravitational forces to maintain balance. A lateral asymmetry in muscle activation was also observed, with left-side muscles consistently showing greater activity than right-side counterparts, suggesting lateralized contributions to postural control. These results emphasize the importance of specific muscles for stability in challenging postural tasks and may offer valuable insights for designing targeted interventions, including robotic rehabilitation systems and assistive technologies, to enhance balance and reduce fall risk in older adults.

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