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不同力量水平下强力抓握时肌肉间协调性的交叉递归量化分析

Cross-Recurrence Quantification Analysis for Inter-Muscular Coordination during Power Grip at Different Force Levels.

作者信息

Zhang Na, Wei Na, Yue Shouwei, Tian Xincheng, Li Ke

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:2410-2413. doi: 10.1109/EMBC.2018.8512804.

Abstract

This study aimed to examine the dynamical coordination across muscles during power grip at different force levels. Twenty-four healthy volunteers (12 males, 12 females) participated in this experiment. Subjects were instructed to grip a hydraulic hand dynamometer and produce forces at 30%, 50%, 70% Maximal Voluntary Contractions (MVC) for at least 10s, respectively. Surface electromyography (sEMG) signals were simultaneously recorded from eight muscles, including brachioradialis (BR), flexor carpi ulnaris (FCU), flexor carpi radialis (FCR), extensor digitorum communis (EDC), flexor digitorum superficialis (FDS), abductor pollicis brevis (APB), first dorsal interosseous (FDI) and abductor digiti minimi (ADM). A cross-recurrence quantification analysis (CRQA) was applied to analyze the sEMG signals by both visualization and quantifications. Results showed that percentage of determinism (%DET) and percentage of entropy (%ENT) of the extrinsic muscle pairs were augmented with increased force levels and had a weak but positive correlation. For intrinsic muscle pairs, the %DET and %ENT increased with force levels but the difference is not or less statistically significant. These results showed that the intermuscular coordination would be alter with force output increased. For the right-handers, the values of intrinsic muscles couplings in right hand were lower than left hand, because less coupled intrinsic muscles contribute to finger dexterity; the reason why the values of extrinsic muscles couplings in right hand were greater than left hand was stronger couplings of extrinsic muscles produced higher synergistic force.

摘要

本研究旨在探究不同力量水平下强力抓握过程中肌肉间的动态协调性。24名健康志愿者(12名男性,12名女性)参与了本实验。受试者被要求握住液压式握力计,分别以最大自主收缩(MVC)的30%、50%、70%产生力量,持续至少10秒。同时从八块肌肉记录表面肌电图(sEMG)信号,包括肱桡肌(BR)、尺侧腕屈肌(FCU)、桡侧腕屈肌(FCR)、指总伸肌(EDC)、指浅屈肌(FDS)、拇短展肌(APB)、第一背侧骨间肌(FDI)和小指展肌(ADM)。应用交叉递归量化分析(CRQA)对sEMG信号进行可视化和量化分析。结果表明,随着力量水平的增加,外在肌对的确定性百分比(%DET)和熵百分比(%ENT)增加,且呈弱但正相关。对于内在肌对,%DET和%ENT随力量水平增加,但差异无统计学意义或统计学意义较小。这些结果表明,随着力量输出增加,肌肉间协调性会发生改变。对于右利手者,右手内在肌耦合值低于左手,因为较少的耦合内在肌有助于手指灵活性;右手外在肌耦合值大于左手的原因是外在肌更强的耦合产生了更高的协同力量。

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