Huppertz H J, Disselhorst-Klug C, Silny J, Rau G, Heimann G
Department of Pediatrics, Aachen, University of Technology, Germany.
Muscle Nerve. 1997 Nov;20(11):1360-70. doi: 10.1002/(sici)1097-4598(199711)20:11<1360::aid-mus3>3.0.co;2-8.
High Spatial Resolution electromyography (HSR-EMG), a new kind of noninvasive surface EMG based on a spatial filtering technique, was evaluated with respect to the diagnosis of neuromuscular diseases. HSR-EMG measurements were recorded from 61 healthy subjects and 72 patients with different neuromuscular diseases and analyzed quantitatively. The results indicate that a few parameters such as muscular conduction velocity, dwell time over root mean square, autocorrelation function, and chi-value are sufficient to recognize and classify specific signal alterations due to neuromuscular disorders. A diagnostic evaluation procedure calculating automatically the most probable diagnosis from the parameter results could assign the correct diagnosis to about 81% of the investigated patients and healthy subjects. Myopathic disorders were recognized with a sensitivity of 85% (specificity: 97%), neuropathic disorders with a sensitivity of 68% (specificity: 98%). We conclude that HSR-EMG shows a diagnostic validity similar to that described in literature for needle EMG. Moreover, the noninvasive technique provides the advantage of a simple and painless application.
高空间分辨率肌电图(HSR-EMG)是一种基于空间滤波技术的新型无创表面肌电图,已针对神经肌肉疾病的诊断进行了评估。对61名健康受试者和72名患有不同神经肌肉疾病的患者进行了HSR-EMG测量,并进行了定量分析。结果表明,诸如肌肉传导速度、均方根停留时间、自相关函数和卡方值等一些参数足以识别和分类由神经肌肉疾病引起的特定信号改变。一种根据参数结果自动计算最可能诊断的诊断评估程序可以将正确诊断分配给约81%的被调查患者和健康受试者。肌病性疾病的识别灵敏度为85%(特异性:97%),神经病性疾病的识别灵敏度为68%(特异性:98%)。我们得出结论,HSR-EMG显示出与文献中描述的针电极肌电图相似的诊断有效性。此外,这种无创技术具有应用简单、无痛的优点。