手腕和手指姿势对手指独立性的影响

IF 2 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology Pub Date : 2024-11-04 DOI:10.1016/j.jelekin.2024.102941

Kumara G. Somasundram, Peter J. Keir

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引用次数: 0

摘要

一个手指的有意动作会在其他手指上产生不自主的运动或力量。机械和神经因素限制了手指的独立性。解剖因素、手腕和手指姿势与手指独立性之间的相互作用仍不清楚。本研究的目的是确定手腕和掌指关节（MCP）姿势对手指非自主力量和伸拇肌（ED）活动的影响。20 名参与者在三种手腕姿势（伸展 30°、中立和屈曲 30°）和两种 MCP 姿势（伸直和屈曲 90°）下进行了亚极限等长手指伸展运动。无意识食指力量随 MCP 屈曲而增加，这表明肌腱间连接在手指独立性中的重要性。与之前的研究一致，伸腕时的ED活动通常高于中立和屈曲姿势。了解手部被动特性的作用有助于我们改进手指康复策略。

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Effects of wrist and finger posture on finger independence

Intended actions of one finger produce involuntary movement or force in other fingers. Mechanical and neural factors limit finger independence. The interplay between anatomical factors, wrist and finger postures, and finger independence remain unclear. The purpose of this study was to determine the effects of wrist and metacarpophalangeal (MCP) posture on involuntary finger forces and extensor digitorum (ED) activity. Twenty participants performed submaximal isometric finger extensions in three wrist positions (30° extension, neutral, and 30° flexion) and two MCP postures (straight and 90° flexion). Involuntary index finger force increased with MCP flexion, suggesting the importance of intertendinous connections in finger independence. Consistent with previous research, ED activity was generally higher in wrist extension than neutral and flexed postures. Understanding the role of passive properties within the hand may help us improve finger rehabilitation strategies.

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来源期刊

Journal of Electromyography and Kinesiology 医学-康复医学

CiteScore

4.70

自引率

8.00%

发文量

审稿时长

74 days

期刊介绍： Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques. As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.