在80米短跑中检测高质量、高密度的肌电图:一个案例研究

Riccardo Nicola, G. L. Cerone, M. Caruso, Rachele Rossanigo, A. Cereatti, T. Vieira
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摘要

表面肌电图(EMGs)常用于研究运动活动中的肌肉功能。通常,肌电图是用一对电极采样,提供肌肉兴奋的时间和程度的信息。当用多个电极从相同的目标肌肉取样肌电信号时,可以获得额外的信息。在运动活动中使用高密度肌电信号(hd - emg)的研究仅限于实验室设置和低速任务,可能是由于商用高密度记录系统的技术缺陷。当需要运动学数据将肌电信号与运动周期中感兴趣的事件联系起来时,这个问题进一步加剧。通过结合两种专门用于现场记录运动学数据和hd - emg的系统,我们在这里展示了极端速度运动(在官方田径跑道上进行80米短跑)的单一案例结果。我们的目的是验证在控制良好的等距收缩过程中,肌电图文献中记录的质量描述符是否适用于我们根据运行周期检测和分割的hd肌电图。从一个优秀的短跑运动员身上,我们能够获得可以忽略的运动伪影的hd - emg,以及单个运动单元的典型动作电位的时间特征。我们的结果似乎提倡在实验室环境外使用HD-EMG研究高动态收缩期间肌肉功能的可能性。
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On the Detection of High-Quality, High-Density Electromyograms During 80m Sprints: a Case Study
Surface electromyograms (EMGs) have been often used to study muscle function in locomotor activities. Typically, EMGs are sampled with a single pair of electrodes, providing information on the timing and degree of muscle excitation. Additional information may be obtained when sampling EMGs with multiple electrodes from the same, target muscles. Studies using high-density EMGs (HD-EMGs) in locomotor activities are limited to laboratory settings and low speed tasks, likely due to the technical shortcomings in the commercially available systems for high-density recordings. This issue is further aggravated when kinematics data are necessary for associating EMGs with events of interest during the movement cycle. By combining two systems, ad hoc developed for the on-field recording of kinematics data and HD-EMGs, here we present single-case results during extreme-speed locomotion-the 80 m sprint on an official, athletic track. Our aim was to verify whether descriptors of quality documented in the EMG literature during well-controlled, isometric contractions, apply to the HD-EMGs we detected and segmented with respect to the running cycles. From a single, elite sprinter, we were able to obtain HD-EMGs with negligible movement artifacts and with temporal profiles typically characterizing action potentials of single motor units. Our results would seem to advocate the possibility of using HD-EMG to study muscle function during highly dynamic contractions outside the laboratory settings.
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