Wavelet Based Method for Congestive Heart Failure Recognition by Three Confirmation Functions
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
An investigation of the electrocardiogram (ECG) signals and arrhythmia characterization by wavelet energy is proposed.
This study employs a wavelet based feature extraction method for congestive heart failure (CHF) obtained from the percentage energy (PE) of terminal wavelet packet transform (WPT) subsignals.
In addition, the average framing percentage energy (AFE) technique is proposed, termed WAFE.
A new classification method is introduced by three confirmation functions.
The confirmation methods are based on three concepts: percentage root mean square difference error (PRD), logarithmic difference signal ratio (LDSR), and correlation coefficient (CC).
The proposed method showed to be a potential effective discriminator in recognizing such clinical syndrome.
ECG signals taken from MIT-BIH arrhythmia dataset and other databases are utilized to analyze different arrhythmias and normal ECGs.
Several known methods were studied for comparison.
The best recognition rate selection obtained was for WAFE.
The recognition performance was accomplished as 92.60% accurate.
The Receiver Operating Characteristic curve as a common tool for evaluating the diagnostic accuracy was illustrated, which indicated that the tests are reliable.
The performance of the presented system was investigated in additive white Gaussian noise (AWGN) environment, where the recognition rate was 81.48% for 5 dB.
American Psychological Association (APA)
Daqrouq, Khaled& Dobaie, A.. 2016. Wavelet Based Method for Congestive Heart Failure Recognition by Three Confirmation Functions. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100187
Modern Language Association (MLA)
Daqrouq, Khaled& Dobaie, A.. Wavelet Based Method for Congestive Heart Failure Recognition by Three Confirmation Functions. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1100187
American Medical Association (AMA)
Daqrouq, Khaled& Dobaie, A.. Wavelet Based Method for Congestive Heart Failure Recognition by Three Confirmation Functions. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100187
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100187