Division Motor Research, Pathophysiology and Biomechanics, Department of Trauma, Hand and Reconstructive Surgery, University Hospital, Friedrich-Schiller-University Jena, Erfurter Strasse 35, D-07740 Jena, Germany.
J Neurosci Methods. 2010 Mar 15;187(1):120-8. doi: 10.1016/j.jneumeth.2009.12.019. Epub 2010 Jan 11.
In order to accurately characterize essential muscle activity during facial movements a new surface EMG (SEMG) technique was introduced and applied. Results represent reference data of healthy persons for future diagnostic purposes. In 30 healthy males monopolar electromyograms of the facial muscles were simultaneously recorded from 48 bilateral-symmetrically applied small surface electrodes while performing 29 facial movements of high clinical relevance. Mean SEMG amplitudes were quantified by power spectral analysis, normalized and presented as movement-related SEMG profiles. The mean SEMG amplitudes increased significantly in response to facial movements. Critical values of the movement-related SEMG amplitude increase were ascertained, valid for 90% of all examined subjects. The mean SEMG amplitudes differed between the performed facial movements, the examined muscles, and intramuscularly between lateral-medial and superior-inferior electrode positions, but not systematically between right and left side of face. The results show that the interplay between individual facial muscles and intramuscularly between their functional subunits is more differentiated than was previously estimated. With the presented facial SEMG technique the produced SEMG profiles are highly relevant for better planning of facial movement restoration. Based on the established reference data, this method can be used to objectively evaluate a facial paresis and to monitor changes during the course of disease and treatment. To easily apply the method, a reduction of electrode positions is intended after the clinical evaluation.
为了准确描述面部运动中的关键肌肉活动，引入并应用了一种新的表面肌电图（sEMG）技术。这些结果为未来的诊断目的提供了健康人的参考数据。在 30 名健康男性中，在执行 29 项具有高度临床相关性的面部运动时，同时从 48 个双侧对称应用的小表面电极记录面部肌肉的单极肌电图。通过功率谱分析对平均 sEMG 幅度进行量化，进行归一化处理并以运动相关的 sEMG 图谱表示。平均 sEMG 幅度随着面部运动而显著增加。确定了运动相关 sEMG 幅度增加的临界值，适用于所有检查对象的 90%。平均 sEMG 幅度在执行的面部运动之间、检查的肌肉之间以及肌内的外侧-内侧和上-下电极位置之间存在差异，但在面部的左右两侧之间没有系统差异。结果表明，个体面部肌肉之间以及其功能亚单位之间的相互作用比以前估计的更为多样化。使用本文提出的面部 sEMG 技术，产生的 sEMG 图谱对于更好地规划面部运动恢复非常重要。基于已建立的参考数据，该方法可用于客观评估面部瘫痪，并在疾病和治疗过程中监测变化。为了便于应用该方法，在临床评估后，计划减少电极位置。
