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肌电图归一化方法对主动伸肘时肌肉激活和拮抗-协同收缩指数的影响:对脑卒中后患者的实际意义。

Impact of the EMG normalization method on muscle activation and the antagonist-agonist co-contraction index during active elbow extension: Practical implications for post-stroke subjects.

机构信息

ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Ipsen Innovation, Les Ulis, France.

Department of Neurological Rehabilitation, University Hospital of Toulouse, Hôpital de Rangueil, Toulouse, France.

出版信息

J Electromyogr Kinesiol. 2020 Apr;51:102403. doi: 10.1016/j.jelekin.2020.102403. Epub 2020 Feb 14.

Abstract

Electromyographic (EMG) raw signals are sensitive to intrinsic and extrinsic factors. Consequently, EMG normalization is required to draw proper interpretations of standardized data. Specific recommendations are needed regarding a relevant EMG normalization method for participants who show atypical EMG patterns, such as post-stroke subjects. This study compared three EMG normalization methods ("isometric MVC", "isokinetic MVC", "isokinetic MVC kinematic-related") on muscle activations and the antagonist-agonist co-contraction index. Fifteen post-stroke subjects and fifteen healthy controls performed active elbow extensions, followed by isometric and isokinetic maximum voluntary contractions (MVC). Muscle activations were obtained by normalizing EMG envelopes during active movement using a reference value determined for each EMG normalization method. The results showed no significant difference between the three EMG normalization methods in post-stroke subjects on muscle activation and the antagonist-agonist co-contraction index. We highlighted that the antagonist-agonist co-contraction index could underestimate the antagonist co-contraction in the presence of atypical EMG patterns. Based on its practicality and feasibility, we recommend the use of isometric MVC as a relevant procedure for EMG normalization in post-stroke subjects. We suggest combined analysis of the antagonist-agonist co-contraction index and agonist and antagonist activations to properly investigate antagonist co-contraction in the presence of atypical EMG patterns during movement.

摘要

肌电图(EMG)原始信号对内在和外在因素敏感。因此,需要进行 EMG 归一化处理,以便对标准化数据进行适当的解释。对于表现出非典型 EMG 模式(如中风后患者)的参与者,需要特定的 EMG 归一化方法建议。本研究比较了三种 EMG 归一化方法(“等长 MVC”、“等速 MVC”和“等速运动学相关”)对肌肉激活和拮抗肌-主动肌协同收缩指数的影响。15 名中风后患者和 15 名健康对照者进行主动肘部伸展运动,然后进行等长和等速最大自主收缩(MVC)。通过在主动运动期间使用为每个 EMG 归一化方法确定的参考值来归一化 EMG 包络,从而获得肌肉激活。结果表明,在中风后患者中,三种 EMG 归一化方法在肌肉激活和拮抗肌-主动肌协同收缩指数方面没有显著差异。我们强调,在存在非典型 EMG 模式的情况下,拮抗肌-主动肌协同收缩指数可能低估拮抗肌协同收缩。基于其实用性和可行性,我们建议在中风后患者中使用等长 MVC 作为 EMG 归一化的相关程序。我们建议结合拮抗肌-主动肌协同收缩指数和主动肌和拮抗肌激活的分析,以便在运动中存在非典型 EMG 模式时正确研究拮抗肌协同收缩。

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