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http://hdl.handle.net/123456789/20844
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| Title: | Hybrid multilayered perceptron network for classification of bundle branch blocks |
| Authors: | Megat Syahirul Amin, Megat Ali
Ahmad Nasrul, Norali
Aisyah Hartini, Jahidin |
| E-mail: | megatsyahirul@salam.uitm.edu.my
ahmadnasrul@unimap.edu.my |
| Keywords: | Bundle branch blocks
Pattern recognition
Hybrid multilayered perceptron network
Learning algorithms |
| Issue Date: | 27-Feb-2012 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | p. 149-154 |
| Series/Report no.: | Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) |
| Abstract: | Electrocardiogram is an electrical representation of
heart activities that provide vital information on the cardiac
condition. Development of reliable intelligent systems through
analysis of cardiac rhythms has been paramount for automated
classification of cardiac diseases. Bundle branch block is an
arrhythmia caused by defects in the conduction pathways that
alters the flow and speed of electrical impulses, leading to loss of
cardiac output, and in severe cases, death. This paper proposes
and investigates HMLP network for classification of bundle
branch block arrhythmias. Samples of normal, right bundle
branch block, and left bundle branch block beats were obtained
from the PTB Diagnostic ECG database. Initially, the original
signal underwent a filtering process and the baseline drift were
rectified using the polynomial curve fitting technique. Five
morphological features were then extracted through median
threshold method for a total of 150 beat samples. The features
were then used for training of the single hidden layer HMLP
network. The training stage employed four different learning
algorithms for four hidden node implementations. Results show
that the Polak-Ribiere conjugate gradient algorithm achieved the
best convergence speed with 100% classification accuracy.
Overall, the various HMLP network structures managed to
attain 99.6% average classification accuracy. |
| Description: | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| URI: | http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=6178973
http://hdl.handle.net/123456789/20844 |
| ISBN: | 978-145771989-9 |
| Appears in Collections: | Conference Papers
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| 2C3.pdf | Access is limited to UniMAP community | 753.26 kB | Adobe PDF | View/Open |
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