期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 107, 期 3, 页码 393-403出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2010.12.006
关键词
Quantitative electromyography (QEMG); Motor unit action potential (MUAP); Wavelet decomposition; Scalogram; Support vector machine (SVM)
类别
资金
- Polish Ministry of Science and Higher Education [N N518 335335]
This paper describes a new method for the classification of neuromuscular disorders based on the analysis of scalograms determined by the Symlet 4 wavelet technique. The approach involves isolating single motor unit action potentials (MUAPs), computing their scalograms, taking the maximum values of the scalograms in five selected scales, and averaging across MUAPs to give a single 5-dimensional feature vector per subject. After SVM analysis, the vector is reduced to a single decision parameter, called the Wavelet Index, allowing the subject to be assigned to one of three groups: myogenic, neurogenic or normal. The software implementation of the method described above created a tool supporting electromyographic (EMG) examinations. The method is characterized by a high probability for the accurate diagnosis of muscle state. The method produced 5 misclassifications out of 800 examined cases (total error of 0.6%). (C) 2010 Elsevier Ireland Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据