Classification of electrocardiogram (ECG) arrhythmias based on neuro-fuzzy system
Dissertant
Thesis advisor
University
Birzeit University
Faculty
Faculty of Engineering and Technology
Department
Department of Computer Science
University Country
Palestine (West Bank)
Degree
Master
Degree Date
2010
English Abstract
Classification of ECG beats using Neuro-Fuzzy approach is the aim of this work.
In other words, feed-forward artificial neural network (ANN) is trained by the back-propagation algorithm in combination with fuzzy logic rules that controls the learning rate by if-then rules.
Therefore, faster rate of convergence is achieved by this new designation in comparison with those in literature which they used the traditional back-propagation.
On the other hand, Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT) are two powerful techniques that they used for feature extraction.
In addition, Shannon entropy criterion is used for determining the optimal number of coefficients for the above techniques ; therefore, dimensionality reduction is achieved.
The performance parameters of the system are the CPU-time and the percentage average accuracy.
As a result, three classifiers are proposed from this combination: PCA-ANN and DWT-ANN classifiers that they trained by the traditional back-propagation algorithm and DWT-Neuro-Fuzzy classifier with percentage average accuracy 96.83 %, 98.59 % and 98.68 % and CPU-time 9.69, 7.75, and 7.42 seconds respectively.
Main Subjects
Medicine
Information Technology and Computer Science
Topics
No. of Pages
79
Table of Contents
Table of contents.
Abstract.
Chapter one : Introduction.
Chapter two : The physiological basis of the electrocardiogram (ECG).
Chapter three : ECG pre-processi.
Chapter four : Theoretical background of techniques.
Chapter five : Research methodology.
Chapter six : Results and discussion.
Chapter seven : Conclusion and future work.
References.
American Psychological Association (APA)
Hammudah, Sabrin. (2010). Classification of electrocardiogram (ECG) arrhythmias based on neuro-fuzzy system. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-303386
Modern Language Association (MLA)
Hammudah, Sabrin. Classification of electrocardiogram (ECG) arrhythmias based on neuro-fuzzy system. (Master's theses Theses and Dissertations Master). Birzeit University. (2010).
https://search.emarefa.net/detail/BIM-303386
American Medical Association (AMA)
Hammudah, Sabrin. (2010). Classification of electrocardiogram (ECG) arrhythmias based on neuro-fuzzy system. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-303386
Language
English
Data Type
Arab Theses
Record ID
BIM-303386
