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一种用于量化步态期间表面肌电信号变异性的新参数:出现频率。

A new parameter for quantifying the variability of surface electromyographic signals during gait: The occurrence frequency.

作者信息

Di Nardo Francesco, Mengarelli Alessandro, Strazza Annachiara, Agostini Valentina, Knaflitz Marco, Burattini Laura, Fioretti Sandro

机构信息

Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy.

Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy.

出版信息

J Electromyogr Kinesiol. 2017 Oct;36:25-33. doi: 10.1016/j.jelekin.2017.06.006. Epub 2017 Jun 30.

Abstract

Natural variability of myoelectric activity during walking was recently analyzed considering hundreds of strides. This allowed assessing a parameter seldom considered in classic surface EMG (sEMG) studies: the occurrence frequency, defined as the frequency each muscle activation occurs with, quantified by the number of strides when a muscle is recruited with that specific activation modality. Aim of present study was to propose the occurrence frequency as a new parameter for assessing sEMG-signal variability during walking. Aim was addressed by processing sEMG signals acquired from Gastrocnemius Lateralis, Tibialis Anterior, Rectus Femoris and Biceps femoris in 40 healthy subjects in order to: (1) show that occurrence frequency is not correlated with ON/OFF instants (R=0.11±0.07; P>0.05) and total time of activation (R=0.15±0.08; P>0.05); (2) confirm the above results by two handy examples of application (analysis of gender and age) which highlighted that significant (P<0.05) gender-related and age-related differences within population were detected in occurrence frequency, but not in temporal sEMG parameters. In conclusion, present study demonstrated that occurrence frequency is able to provide further information, besides those supplied by classical temporal sEMG parameters and thus it is suitable to complement them in the evaluation of variability of myoelectric activity during walking.

摘要

最近,通过考虑数百步的行走过程,对肌电活动的自然变异性进行了分析。这使得能够评估一个在经典表面肌电图(sEMG)研究中很少被考虑的参数:发生频率,其定义为每次肌肉激活出现的频率,通过以特定激活方式募集肌肉时的步数来量化。本研究的目的是提出将发生频率作为评估行走过程中sEMG信号变异性的一个新参数。通过处理从40名健康受试者的外侧腓肠肌、胫骨前肌、股直肌和股二头肌采集的sEMG信号来实现这一目的,以便:(1)表明发生频率与开启/关闭瞬间(R = 0.11±0.07;P>0.05)和总激活时间(R = 0.15±0.08;P>0.05)无关;(2)通过两个实用的应用示例(性别和年龄分析)来证实上述结果,这两个示例突出表明,在人群中检测到与性别和年龄相关的显著(P<0.05)差异存在于发生频率中,而不存在于sEMG时间参数中。总之,本研究表明,除了经典的sEMG时间参数提供的信息外,发生频率还能够提供进一步的信息,因此它适合在评估行走过程中肌电活动的变异性时对这些参数进行补充。

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