Feature extraction of ECG signal based on wavelet transform for arrhythmia detection

2015 ◽  
Author(s):  
Santanu Kumar Sahoo ◽  
Asit Kumar Subudhi ◽  
Bhupen Kanungo ◽  
Sukant Kumar Sabut
Keyword(s):  
Feature Extraction ◽  
Wavelet Transform ◽  
Ecg Signal ◽  
Arrhythmia Detection

Arrhythmia Detection and Classification Using Wavelet and ICA

2008 ◽  
pp. 115-121
Author(s):  
Vahid R. Sabzevari ◽  
Asad Azemi ◽  
Morteza Khademi ◽  
Hossein Gholizade ◽  
Armin Kiani ◽  
...  
Keyword(s):  
Machine Learning ◽  
Feature Extraction ◽  
Wavelet Transform ◽  
Cardiac Arrhythmias ◽  
Extraction Process ◽  
Arrhythmia Detection ◽  
Learning Schemes ◽  
Simulation Scheme

The goal of this article is to optimize the feature extraction process by using ICA and wavelet transform, apply the obtained set to several different machine learning schemes, and compare their performances. The article is structured as follows. Section 2.0 describes our proposed method for cardiac arrhythmias detection. Section 3.0 covers an overview of different classifier types that were used in this work. Sections 4.0 and 5.0 summarize our simulation scheme and results. Finally, section 6.0 presents the concluding remarks.

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