Auto Analysis of ECG Signals Using Artificial Neural Network

被引：0
|
作者：
Raj, Abishek Santhosh A. [1 ]
Dheetsith, N. [1 ]
Nair, Sainath S. [1 ]
Ghosh, Debashree [1 ]
机构：
[1] Alpha Coll Engn, Dept Biomed Engn, Madras, Tamil Nadu, India
来源：
2014 INTERNATIONAL CONFERENCE ON SCIENCE ENGINEERING AND MANAGEMENT RESEARCH (ICSEMR) | 2014年
关键词：
Eletrocardiogram (ECG); Wavelet Packet Decomposition (WPD); Artificial Neural Network (ANN);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The greatest challenge faced during the process of diagnosis of cardiovascular diseases is the accurate analyses of the Electrocardiogram (ECG). Many researches are being done to classify and analyze the ECG signals automatically. In this paper, a novel method for the Auto analysis of the ECG signals using MATLAB is proposed and implemented. In this method, the raw ECG data obtained from the patient goes through a process of Wavelet Packet Decomposition (WPD) followed by Feature extraction. The classification is further done using Artificial Neural Network (ANN). This method, succeeding in differentiating the Abnormal ECG signals from the Normal signals, is proved to be a novel method for Auto analysis of ECG signals.
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页数：4
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