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Muscles of the Forearm that Move the Hand and Fingers

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The muscles of the forearm that move the wrist, hand, and digits are numerous and diverse. They can be classified into two groups based on their location and function — the anterior and posterior compartment muscles.
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Updated: May 6, 2026

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

Published on: March 21, 2019

在复杂的手动过程中,手指相互依赖的年龄相关差异.

Lisa Klemm^1,2, Esther Kuehn^3,4,5,6,7, Avinash Kalyani³

¹Department of Neurology, University Medical Center, Magdeburg, Germany.

Journal of applied physiology (Bethesda, Md. : 1985)

|May 2, 2024

概括

年长的成年人在日常任务中表现出较少的无意指动 (相互依赖),与简单的敲击不同. 这种减少的相互依赖可能是衰老的信号,有助于对复杂运动的年龄组预测.

关键词:

日常生活的动力学.用手指奴役的人.指的独立性指的独立性运动特征运动特征运动特征支持矢量机器的支持矢量机器

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Last Updated: May 6, 2026

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科学领域:

老年学是指老年学的学科.
生物力学生物力学
人类运动科学科学人类运动科学

背景情况:

健康的衰老与指的灵敏度降低有关,影响生活质量.
与年龄相关的指动力学变化和相互依赖性尚未完全理解,尤其是在日常活动中.
现有的关于整个寿命的指纹相互依赖的研究对与年龄相关的差异提出了模两可的发现.

研究的目的:

为了研究与年龄相关的差异,在日常生活的灵感动作和连续的手指敲击任务中,指的相互依赖.
探索手指相互依存的潜力,作为复杂的运动任务中衰老的生物标志物.
为了确定机器学习是否可以根据手指相互依赖模式预测年龄组.

主要方法:

利用外骨数据手套记录了17名年轻人和17名老年人的运动数据.
评估了五个灵感来自日常生活的手指动作和一个指到手指的敲击任务.
应用推断统计和机器学习算法来分析手指的相互依赖性和预测年龄组.

主要成果:

在日常生活中的动作中,随着年龄的增长,无意指动 (相互依赖) 的总体下降被观察到.
与年轻的成年人相比,手指敲击显示了与年长的成年人之间相互依赖性增加的趋势.
机器学习成功地从日常生活的运动相互依赖中预测了年龄组,但不是从手指敲击中.

结论:

在特定的日常任务中指的相互依赖性减少可能是人类衰老的标志.
与年龄相关的影响指的相互依赖是任务依赖的,在复杂的日常运动和简单的敲击之间有所不同.
指的相互依赖模式为老年人的运动中基于机器学习的年龄预测提供了潜力.