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张量分解揭示了物体提升过程中肌肉和抓力负载力合的衰老引起的差异
Chang Ye1, Seyed Saman Saboksayr1, William Shaw2
1Department of Electrical and Computer Engineering, University of Rochester, Rochester, 14620, USA.
Scientific reports
|June 17, 2024
概括
举起物体的运动模式随着年龄的增长而变化. 年龄较大的成年人表现出更强的肌肉合和更不经济的抓取,可能是为了弥补手工敏捷度的减少.
科学领域:
- 生物力学 生物力学
- 神经科学是一个神经科学.
- 人类衰老研究研究
背景情况:
- 举起物体需要复杂的运动模式.
- 衰老会影响运动控制和灵敏度.
- 了解与年龄相关的运动策略的变化至关重要.
研究的目的:
- 在举起物体时,对运动模式的与年龄相关的变化进行表征.
- 开发一种方法来分析跨年龄组的运动策略.
- 为了确定受老化影响的特定电机组件.
主要方法:
- 在年轻和年长的成年人中使用双手抓取-提升-替换协议.
- 结合肌肉活动测量与抓地力和负载力.
- 采用张量分解来分析肌肉活动和力量模式.
主要成果:
- 确定了三种不同的运动元件,根据年龄组不同地招募.
- 晚年和手动灵敏度下降预测结合前臂和手部肌肉的激活.
- 这种合与更高的抓地力有关.
结论:
- 衰老可能导致远端上肢的肌肉合增加.
- 年长的成年人可能会采用不那么经济的抓取策略.
- 这些策略可能会补偿与年龄相关的手工灵巧度下降.
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