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通过肌电和动力学信号分析评估快速移动技能水平的方法。

Method to evaluate the skill level in fast locomotion through myoelectric and kinetic signal analysis.

作者信息

Medved V, Tonkovic S

机构信息

Faculty of Physical Education, University of Zagreb, Yugoslavia.

出版信息

Med Biol Eng Comput. 1991 Jul;29(4):406-12. doi: 10.1007/BF02441662.

DOI:10.1007/BF02441662
PMID:1787757
Abstract

The paper describes a method aimed at providing objective diagnostic testing of skilled locomotor stereotypes. Bioelectric muscle activity indices and ground reaction force data are used to represent a movement structure, in a schematized way, using discrete states in time. Athletes were asked to perform one specific movement structure: a backward somersault from the standing position. Mathematical analyses of measured signals reveal the significance, for the skill level evaluation, of parameters reflecting the impulsive take-off force waveform and the symmetry in EMG activity of ankle extensor muscles, which therefore might be used as diagnostic criteria. Within technical limitations, this approach may also be applied to other locomotor patterns and possibly to monitor the progress in motorics in pathological locomotion. EMG telemetry could significantly enhance the method's scope.

摘要

本文描述了一种旨在对熟练的运动定型进行客观诊断测试的方法。生物电肌肉活动指标和地面反作用力数据被用于以时间上的离散状态来示意性地表示运动结构。运动员被要求执行一种特定的运动结构:从站立姿势进行后空翻。对测量信号的数学分析揭示了反映冲动起飞力波形的参数以及踝伸肌肌电活动对称性对于技能水平评估的重要性,因此这些参数可用作诊断标准。在技术限制范围内,这种方法也可应用于其他运动模式,并有可能用于监测病理性运动中运动能力的进展。肌电遥测技术可显著扩大该方法的应用范围。

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本文引用的文献

1
Past and future issues in motor programming.运动编程中的过去与未来问题
Res Q Exerc Sport. 1980 Mar;51(1):122-40. doi: 10.1080/02701367.1980.10609279.
2
Automated extraction of activity features in linear envelopes of locomotor electromyographic patterns.自动提取运动肌电图模式线性包络中的活动特征。
IEEE Trans Biomed Eng. 1986 Jun;33(6):594-600. doi: 10.1109/TBME.1986.325841.
3
Procedure for quantitative comparison of ground reaction data.地面反力数据定量比较程序。
IEEE Trans Biomed Eng. 1989 Feb;36(2):247-55. doi: 10.1109/10.16472.