Classification of Myopathy and Neuropathy EMG signals using Neural Network

被引：0
|
作者：
Swaroop, R. [1 ]
Kaur, Maninder [1 ]
Suresh, Padma [2 ]
Sadhu, Pradip Kumar [3 ]
机构：
[1] Amity Univ Dubai, Dept Elect & Telecom, Dubai, U Arab Emirates
[2] Baselios Mathew II Coll Engn, Sasthamkotta, Kerala, India
[3] Indian Sch Mines, Dept Elect Engn, Dhanbad, Bihar, India
来源：
PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT ,POWER AND COMPUTING TECHNOLOGIES (ICCPCT) | 2017年
关键词：
EMG; Myopathy; Neuropathy; Neural Networks; Classification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Electromyography plays a key role in biomedical engineering to analyze the various neuromuscular disease. It is necessary to identify the complex signals from EMG and identify the myopathy and neuropathy signals. In this paper three samples of signals are taken from healthy person, patient with myopathy and patient with neuropathy. These signals are preprocessed suitable for applying to the MATLAB. The signals are further analyzed using neural network tool box. The back propagation algorithm is used here for training the network and the weight matrix is used for further classifying the signals. This paper also how much deviation is from the accurate diagnosis.
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页数：5
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