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以往的肌电图(EMG)自动分析技术由于不能成功地揭示所有异常的运动单位动作电位(MUAPs)以及耗时过长而不能广泛用于临床常规检查,仅限于研究应用。作者用了近20年时间创造厂一种实用的EMG自动分析系统。本文通过使用该系统对正常和异常受试者的运动单位(MUs)募集顺序和形式的分析,显示了此项技术的临床应用价值。 资料和方法 供分析的EMC数据来自1组正常对照组(12例)和4组患者,其中两组为肌源性病变(多发性肌炎组11例,Duchenne型肌营养不良组9例)。另两组为神经源性病变(多发性神经炎组12例,运动神经元病组7例)。用同芯针电极分别在4
Previous EMG automated analysis techniques were limited to research applications because they failed to reveal all abnormal MUAPs and took too long to be routinely used in clinical routine examinations. The author spent nearly 20 years to create a practical plant EMG automatic analysis system. This article demonstrates the clinical utility of this technique by using this system to analyze the order and form of recruitment of motor units (MUs) in normal and abnormal subjects. DATA AND METHODS EMC data for analysis were obtained from one group of normal controls (12 patients) and four patients, two of whom were myogenic lesions (11 with polymyositis and 9 with Duchenne muscular dystrophy). The other two groups were neurogenic lesions (12 in polyneuritis group and 7 in motor neuron disease group). With the same pin electrode in 4