Published in: مجله هوش مصنوعی و داده کاوی، دوره: 4، شماره: 1
COI code: JR_JADM-4-1_007
Paper Language: English
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Authors Classification of ECG signals using Hermite functions and MLP neural networksA. Ebrahimzadeh - Faculty of Electrical & Computer Engineering, Babol University of Technology.
M. Ahmadi - Faculty of Electrical & Computer Engineering, Babol University of Technology
M. Safarnejad - Faculty of Electrical & Computer Engineering, Babol University of Technology
Abstract:Classification of heart arrhythmia is an important step in developing devices for monitoring the health of individuals. This paper proposes a three module system for classification of electrocardiogram (ECG) beats. These modules are: denoising module, feature extraction module and a classification module. In the first module the stationary wavelet transform (SWF) is used for noise reduction of the ECG signals. The feature extraction module extracts a balanced combination of the Hermit features and three timing interval feature. Then a number of multi-layer perceptron (MLP) neural networks with different number of layers and eight training algorithms are designed. Seven files from the MIT/BIH arrhythmia database are selected as test data and the performances of the networks, for speed of convergence and accuracy classifications, are evaluated. Generally all of the proposed algorisms have good training time, however, the resilient back propagation (RP) algorithm illustrated the best overall training time among the different training algorithms. The Conjugate gradient back propagation (CGP) algorithm shows the best recognition accuracy about 98.02% using a little amount of features.
Keywords:ECGbeat Classification, Premature Ventricular Contraction, MLP Neural Network, Training Algorithms, Wavelet Transform, Hermit Features
COI code: JR_JADM-4-1_007
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Ebrahimzadeh, A.; M. Ahmadi & M. Safarnejad, 2016, Classification of ECG signals using Hermite functions and MLP neural networks, Journal of Artificial Intelligence & Data Mining 4 (1), https://www.civilica.com/Paper-JR_JADM-JR_JADM-4-1_007.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Ebrahimzadeh, A.; M. Ahmadi & M. Safarnejad, 2016)
Second and more: (Ebrahimzadeh; Ahmadi & Safarnejad, 2016)
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Type: state university
Paper No.: 5493
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