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Volumn , Issue , 2008, Pages 113-115

ECG images classification using artificial neural network based on several feature extraction methods

Author keywords

ANN; Batches; Classifier; Edge detection; Fast fourier transform; Feature; Mean variance; Wavelet decomposition

Indexed keywords

ADAPTIVE LEARNING RATES; ANN; ARTIFICIAL NEURAL NETWORK; BATCHES; FEATURE; FEATURE EXTRACTION METHODS; FEED-FORWARD BACK PROPAGATION; GRAY LEVELS; IMAGES CLASSIFICATION; INPUT DATA; INPUT FEATURES; INTELLIGENT DIAGNOSIS SYSTEM; INTENSITY IMAGES; MEAN-VARIANCE; MOMENTUM TERM; PREPROCESS;

EID: 67649531764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCES.2008.4772977     Document Type: Conference Paper
Times cited : (12)

References (15)
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  • 5
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  • 6
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  • 7
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    • Neural based sequential analysis with application to bank signature
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  • 8
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    • Bortolan, G., "ECG classification with neural networks and cluster analysis." Proceedings Computers in Cardiology, Venice, Italy, pp, 23-26 Sept.1991. (USA:IEEE Comput. Soc. Press,1991. P. 177-80) (Conference paper-English)
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  • 15
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    • M. B. Tayel, M.E.EL-Bouridy., ECG Images Classification Using Feature Extraction Based On Wavelet Transformation And Neural Network ICGST International Conference on Artificial Intelligence and Machine Learning (AIML-06), PP101-103, 13-15 June 2006.
    • M. B. Tayel, M.E.EL-Bouridy., "ECG Images Classification Using Feature Extraction Based On Wavelet Transformation And Neural Network "ICGST International Conference on Artificial Intelligence and Machine Learning (AIML-06), PP101-103, 13-15 June 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.