[临床常规应用的计算机辅助肌电图分析]。

J F Strempel, H Feistner, T F Münte, H Hinrichs, H J Heinze
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引用次数: 0

摘要

在MS-DOS计算机上实现的计算机化肌电图分析系统是为临床常规使用而开发的。它结合了干扰模式和运动单元动作电位(MUAPs)的分析。MUAP分析的主要特点是肌电信号的自动分割和参数化,以及MUAP对运动单元的自动分配。肌肉活动的确定是基于信号的一阶导数的阈值检测,导致muap中心分量的定义。它的参数(长度、振幅、最大陡度、曲线和基线之间的面积、一阶导数和基线之间的面积、转弯数等)在比较muap时使用。将muap自动分配给运动单元是一个迭代过程。MUAP与引用MUAP进行比较,如果它们的参数足够相似,则最终分配给引用MUAP。对于这样一组MUAP,确定最具代表性的MUAP,然后在下一个迭代步骤中将其用作新的参考MUAP。对于临床常规使用来说,最重要的是操作简单、速度快、结果显示清晰。该系统允许交互式修改MUAP分配以及每个MUAP的起始点和结束点。分析结果可以显示在屏幕上并打印出来,让用户对所研究的肌肉有一个快速的印象。该方法满足了计算机辅助鉴别诊断决策的基本要求。
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[Computer-assisted analysis of the electromyogram for routine clinical use].

A computerized EMG analysis system implemented on an MS-DOS computer was developed explicitly for clinical routine usage. It incorporates analysis of interference pattern as well as of motor unit action potentials (MUAPs). Key features of MUAP analysis are the automatic segmentation and parameterization of the EMG signal and the automatic assignment of MUAPs to motor units. Determination of muscle activity is based on threshold detection of the signal's first derivative, leading to the definition of a MUAPs central component. Its parameters (length, amplitude, maximal steepness, area between curve and base-line, area between first derivative and base-line, number of turns etc.) are used when comparing MUAPs. The automatic assignment of MUAPs to motor units was implemented as an iterative procedure. MUAPs are compared to a reference MUAP and eventually assigned to it if their parameters are sufficiently similar. For such a group of MUAPs the most representative MUAP is determined which is then used as new reference MUAP in the next iteration step. Most important for clinical routine usage are simple handling, speed and the clearly arranged presentation of results. The system allows for interactive modification of MUAP assignment as well as start and end points of every MUAP. Analysis results may be displayed on the screen and printed, giving the user a quick impression of the muscle under study. Thus this method meets basic requirements for computer assisted decision making in differential diagnosis.

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