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An efficient and automatic ECG arrhythmia diagnosis system using DWT and HOS features and entropy- based feature selection procedure Cover

An efficient and automatic ECG arrhythmia diagnosis system using DWT and HOS features and entropy- based feature selection procedure

Open Access
|Aug 2019

Figures & Tables

Fig. 1

Block diagram of the proposed technique.
Block diagram of the proposed technique.

Fig. 2

Example of five different categories of heartbeats that are denoised and segmented.
Example of five different categories of heartbeats that are denoised and segmented.

Classification results of the proposed methods with the two different classifiers_

ClassifierSensitivity (%)Specificity (%)Accuracy (%)
SVM-RBF99.5799.8999.83
NN97.5899.3999.03

– Comparison of the classification efficiency of the proposed method and some of studies performed based on the same database_

LiteratureyearFeaturesClassifierClassesAccuracy (%)
Martis et al. [20]2012PCASVM-RBF598.11%
Martis et al. [14]2013DWT + PCASVM-RBF596.92%
DWT + PCANN598.78%
Osowski and Linh [19]2001HOSHybrid fuzzy796.06%
NN
Martis et al. [27]2013Cumulant + PCANN594.52%
Elhaj et al. [24]2016PCA + DWT + HOS +SVM-RBF598.91%
ICA
NN598.90%
Acharya et al [28]2017Raw dataCNN594.03
Yang et al. [29]2018PCAnetLinear SVM597.94
Oh et al. [30]2018Raw dataCNN-LSTM598.10
ProposedDWT+HOSSVM-RBF599.83
NN599.03

A summary table of ECG heartbeats classified as per ANSI/AAMI EC57:1998 standard [25]_

ANSI/AAMI classesNon-ectopic (N)Supraventricular (S)Ventricular (V)Fusion (F)Unknown (U)
Normal (N)Aberrated atrial premature (A)Ventricular escape (V)Fusion of ventricular and normal (F)Unclassifiable (U)
Left bundle branch block (LBBB)Atrial premature (a)Premature ventricular contraction (E)Paced (p)
MIT-BIH classesRight bundle branch block (RBBB)Supraventricular premature (S)Fusion of paced and normal (f)
Nodal (junctional) escape (j)Nodal (junctional) premature (J)
Atrial escape beat (e)
Language: English
Page range: 47 - 54
Submitted on: Feb 19, 2019
Published on: Aug 20, 2019
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2019 Abdullah Jafari Chashmi, Mehdi Chehel Amirani, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.