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诊断性肌电图中单个运动单位电位的识别与分类方法。

Method for identification and classification of single motor unit potentials in diagnostic electromyography.

作者信息

Widmalm S E, Ash M M

机构信息

Department of Restorative Dentistry, School of Dentistry, University of Michigan, Ann Arbor.

出版信息

J Oral Rehabil. 1990 Jan;17(1):49-59. doi: 10.1111/j.1365-2842.1990.tb01393.x.

DOI:10.1111/j.1365-2842.1990.tb01393.x
PMID:2299470
Abstract

It is important to have an objective method for recording jaw muscle capacity such as EMG before, during and after treatment of muscle dysfunction and also for oral rehabilitation with dentures, implants or other types of restorations. Because measurements of motor unit potentials (MUPs) are needed in several areas of EMG analysis, algorithms have been developed in our laboratory for use in a small computer-aided system for semi-automatic detection and pattern recognition of MUPs. Based upon the test recordings it is suggested that a characteristic 'maximal voltage increase per microsecond during the spike-phase' can be used as a supplement to the more generally used parameter 'rise-time'. Examples are given of how the programs can be useful in the study of the functional anatomy of jaw muscles by recording normative values for MUPs and their recruitment patterns.

摘要

对于记录下颌肌肉功能,在肌肉功能障碍治疗前、治疗期间和治疗后,以及在使用假牙、植入物或其他修复体进行口腔修复时,拥有一种客观的方法(如肌电图)非常重要。由于肌电图分析的多个领域都需要测量运动单位电位(MUP),我们实验室已经开发了算法,用于小型计算机辅助系统,以实现MUP的半自动检测和模式识别。基于测试记录,建议将“尖峰期每微秒的最大电压增加”这一特征作为更常用参数“上升时间”的补充。文中给出了一些示例,说明通过记录MUP的标准值及其募集模式,这些程序在研究下颌肌肉功能解剖学方面如何发挥作用。

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