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帕金森病中的多关节反向运动:运动学和肌电图。

Multi-joint movements with reversal in Parkinson's disease: Kinematics and electromyography.

机构信息

Physical Therapy Course, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil.

出版信息

J Electromyogr Kinesiol. 2011 Apr;21(2):376-83. doi: 10.1016/j.jelekin.2010.10.013. Epub 2010 Nov 20.

DOI:10.1016/j.jelekin.2010.10.013
PMID:21095136
Abstract

Subjects with Parkinson's disease (PD) presented difficulties in the performance of multi-joint movements. The purpose of the study was to determine whether the slowness of such movements was caused by the generation of non-linear trajectories and/or by a reduction or a deficit in the modulation of EMG activity. Nine healthy subjects and 10 subjects with PD performed multi-joint movements involving elbow and shoulder with reversal towards three targets in the sagittal plane without any constraint. The movement kinematics were calculated using X and Y coordinates of the markers positioned on the joints. EMG signals were recorded for the muscles related to these movements. The results revealed that subjects with PD presented a lower linear speed and the differences between them and healthy subjects increased with target distance. The trajectory was found to be linear and both groups of subjects had few errors in the targets despite the slower muscle activity in subjects with PD. Another interesting finding was the EMG pattern of subjects with PD. They showed a difficulty in modulating the activity of agonists and antagonists during the different movement phases. The low speed movements of PD subjects were attributable to the low EMG activity and difficulty in modulating the bursts of muscle activity.

摘要

帕金森病(PD)患者在进行多关节运动时会遇到困难。本研究的目的是确定这些运动的缓慢是否是由于产生非线性轨迹和/或由于调制肌电图(EMG)活动的减少或缺陷引起的。9 名健康受试者和 10 名 PD 患者在没有任何约束的情况下,进行涉及肘部和肩部的多关节运动,朝矢状面的三个目标反转。运动运动学使用关节上标记的 X 和 Y 坐标计算。记录与这些运动相关的肌肉的 EMG 信号。结果表明,PD 患者的线性速度较低,并且他们与健康受试者之间的差异随着目标距离的增加而增加。尽管 PD 患者的肌肉活动较慢,但发现轨迹是线性的,两组受试者在目标上的误差都很少。另一个有趣的发现是 PD 患者的 EMG 模式。他们在不同的运动阶段表现出难以调节激动剂和拮抗剂的活动。PD 患者的低速运动归因于低 EMG 活动和难以调节肌肉活动的爆发。

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Front Neurol. 2019 Sep 3;10:951. doi: 10.3389/fneur.2019.00951. eCollection 2019.
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Using gastrocnemius sEMG and plasma α-synuclein for the prediction of freezing of gait in Parkinson's disease patients.
利用腓肠肌表面肌电图和血浆α-突触核蛋白预测帕金森病患者的冻结步态
PLoS One. 2014 Feb 27;9(2):e89353. doi: 10.1371/journal.pone.0089353. eCollection 2014.
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The rates of change of the stochastic trajectories of acceleration variability are a good predictor of normal aging and of the stage of Parkinson's disease.加速度变化的随机轨迹变化率是正常衰老和帕金森病阶段的良好预测指标。
Front Integr Neurosci. 2013 Jul 17;7:50. doi: 10.3389/fnint.2013.00050. eCollection 2013.