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  • 标题:Identification Of Cardiac Arrhythmia With Respect To ECG Signal By Neural Networks And Genetic Programming
  • 本地全文:下载
  • 作者:NALLA.SRINIVAS ; A.VINAY BABU ; M.D.RAJAK
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2013
  • 卷号:2
  • 期号:2
  • 页码:479
  • 出版社:S&S Publications
  • 摘要:In this paper analysis of „Electrocardiogram (ECG) PQRSTU-waveforms and prediction ofparticular decease infection or state of a patient is done using Genetic Algorithm and Artificial NeuralNetwork (ANN), precise Electrocardiogram (ECG) classification to diagnose patient‟s condition is essential.For classification of such difficult-to-diagnose-signals, i.e. ECG signal, classification is performed usingvarious pulses, like v1, v2, v3, v4, v5, v6 etc corresponding hidden layer in ANN i.e., P-Wave, PR-Interval,QRS-Interval, ST-Interval, T-Wave etc analysis of each Input pulse used to train the neural network. Outputof the neural network gives weight factors of each signal to create a data set. Corresponding output-datasetsindicates related disease and predict the causes. And results are analyzed by Genetic Algorithm.
  • 关键词:Electrocardiogram; Fuzzy logic and Artificial Neural Network(ANN); Premature Ventricular;contraction; sinus tachycardia; sinus bradycardia; Genetic Algorithm (GA).
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