Drost Gea, Stegeman Dick F, van Engelen Baziel G M, Zwarts Machiel J
Department of Clinical Neurophysiology, Institute of Neurology, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
J Electromyogr Kinesiol. 2006 Dec;16(6):586-602. doi: 10.1016/j.jelekin.2006.09.005.
High density-surface EMG (HD-sEMG) is a non-invasive technique to measure electrical muscle activity with multiple (more than two) closely spaced electrodes overlying a restricted area of the skin. Besides temporal activity HD-sEMG also allows spatial EMG activity to be recorded, thus expanding the possibilities to detect new muscle characteristics. Especially muscle fiber conduction velocity (MFCV) measurements and the evaluation of single motor unit (MU) characteristics come into view. This systematic review of the literature evaluates the clinical applications of HD-sEMG. Although beyond the scope of the present review, the search yielded a large number of "non-clinical" papers demonstrating that a considerable amount of work has been done and that significant technical progress has been made concerning the feasibility and optimization of HD-sEMG techniques. Twenty-nine clinical studies and four reviews of clinical applications of HD-sEMG were considered. The clinical studies concerned muscle fatigue, motor neuron diseases (MND), neuropathies, myopathies (mainly in patients with channelopathies), spontaneous muscle activity and MU firing rates. In principle, HD-sEMG allows pathological changes at the MU level to be detected, especially changes in neurogenic disorders and channelopathies. We additionally discuss several bioengineering aspects and future clinical applications of the technique and provide recommendations for further development and implementation of HD-sEMG as a clinical diagnostic tool.
高密度表面肌电图(HD-sEMG)是一种非侵入性技术,通过在皮肤的有限区域上使用多个(两个以上)紧密间隔的电极来测量肌肉电活动。除了记录时间活动外,HD-sEMG还能记录空间肌电活动,从而扩展了检测新肌肉特征的可能性。特别是肌肉纤维传导速度(MFCV)测量和单个运动单位(MU)特征的评估变得可行。本文献系统综述评估了HD-sEMG的临床应用。尽管超出了本综述的范围,但检索发现大量“非临床”论文表明,在HD-sEMG技术的可行性和优化方面已经开展了大量工作并取得了重大技术进展。本研究纳入了29项临床研究以及4篇关于HD-sEMG临床应用的综述。这些临床研究涉及肌肉疲劳、运动神经元疾病(MND)、神经病变、肌病(主要是通道病患者)、自发肌肉活动和MU放电率。原则上,HD-sEMG能够检测MU水平的病理变化,尤其是神经源性疾病和通道病的变化。我们还讨论了该技术的几个生物工程方面以及未来的临床应用,并为HD-sEMG作为临床诊断工具的进一步发展和应用提供了建议。