Design of neural network based ECG diagnosing system
Dissertant
University
University of Technology
Faculty
-
Department
Computer Sciences Department
University Country
Iraq
Degree
Master
Degree Date
2002
English Abstract
Cardiovascular diseases are the most frequent cause of adult death in industrialized societies, and are increasingly important in developing countries.
The analysis of the electrocardiogram (ECG) can benefit from the wide availability of computing technology as far as features and performances are concerned.
This work presents some results achieved by carrying out the classification tasks of a possible equipment integrating the most common features of the ECG analysis: Arrhythmia, Myocardial Ischema ,Chomic alteratons.
Several Artificial Neural Network (ANN) architectures are implemented, tested, and compared with competing alternatives.
Structure, and learning algorithm of ANN were designed to feature each particular classification task.
The trade-off between the time consuming training of ANN'S and their performance is also explored.
Data pre-and post processing efforts, on the system performance were critically tested.
We tried to investigate the effects of the reduction of the input space dimensions relation to the significance of the input features.
Features from the ECG’s were extracted using principal component analysis, which gives a very good indication for different cases.
The fast Fourier transform (FFT) and cross correlation function are used to perform the above analysis.
The ECG signal has been sampled and digitized in order to be processed in the computer.
(ANNs) proved a very powerful technique for such applications, they can handle almost any nonlinear dependencies.
This work was done on data coming from all the currently available ECG databases, which were previously collected from different fields.
Main Subjects
Information Technology and Computer Science
Topics
American Psychological Association (APA)
al-Nuaymi, Ann Fayiq Subayh. (2002). Design of neural network based ECG diagnosing system. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305786
Modern Language Association (MLA)
al-Nuaymi, Ann Fayiq Subayh. Design of neural network based ECG diagnosing system. (Master's theses Theses and Dissertations Master). University of Technology. (2002).
https://search.emarefa.net/detail/BIM-305786
American Medical Association (AMA)
al-Nuaymi, Ann Fayiq Subayh. (2002). Design of neural network based ECG diagnosing system. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305786
Language
English
Data Type
Arab Theses
Record ID
BIM-305786
