NDLI: Data acquisition for myocardial infarction classification based on wavelets and Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Al-Naima, F.M. Ali, A.H. Mahdi, S.S.
Copyright Year	2008
Description	Author affiliation: Al Khawarzmi Coll. of Eng., Baghdad Univ., Baghdad (Ali, A.H.) \|\| Dept. of Med. Eng., Nahrain Univ., Baghdad (Mahdi, S.S.) \|\| Fac. of Telecommun. & Inf. Eng., Univ. of Eng. & Technol., Taxila (Al-Naima, F.M.)
Abstract	This paper shows an approach for ECG signal processing based on artificial neural networks ANN and transform domains (discrete wavelet transform DWT and Fourier transform FT). The neural networks NNs are introduced to solve different pattern recognition problems associated with ECG analysis. A Multi-Layer Perceptron Neural Network MLP-NN is used in the present work with Back Propagation BP algorithm to train the proposed network. The operation of a classification system based on DWT and FT was analyzed for diagnosing a set of real patterns (QRS interval of normal and MI disease) that were taken from many patients of MAC-1200 12 channel ECG system from two hospitals in Baghdad. An off-line method was then used for the extraction of ECG signals from ECG images papers by using special image processing techniques. The obtained accuracy for the WT-NN was 90%, whereas that for the FT-NN was 85%. The results showed WT-NN to be better for analyzing the nonstationary signals.
Starting Page	1
Ending Page	6
File Size	3921549
Page Count	6
File Format	PDF
ISBN	9781424422050
DOI	10.1109/SSD.2008.4632817
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-20
Publisher Place	Jordan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelets ECG signals Neurons Artificial neural networks Electrocardiography Lead Neural Networks Feature extraction Classification algorithms Discrete wavelet transforms Data Acquisition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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