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[正常人群运动单位电位的自动化分析]

[Automated analysis of motor unit potentials of a normal population].

作者信息

Coatrieux J L, Toulouse P

出版信息

Rev Electroencephalogr Neurophysiol Clin. 1984 Apr;13(4):367-74. doi: 10.1016/s0370-4475(84)80043-x.

Abstract

The real-time and automatic system that we have developed, providing EMG signal acquisition, processing and storage, helps in decision making. This implies the formation of a reference signal set and the accurate determining of the influence of various parameters. Using data analysis methods, our normal population analysis investigates the effects of age, sex and muscle. Assignment tests have been carried out with learning classes (formed with signals obtained from healthy and myopathic subjects) to measure the variability of a possible aid-to-diagnosis procedure.

摘要

我们开发的实时自动系统可进行肌电图(EMG)信号采集、处理和存储,有助于决策制定。这意味着要形成一个参考信号集,并准确确定各种参数的影响。通过数据分析方法,我们对正常人群进行分析,研究年龄、性别和肌肉的影响。我们已使用学习类别(由健康受试者和患有肌病的受试者获得的信号组成)进行赋值测试,以测量辅助诊断程序可能存在的变异性。

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