Nonlinear Analysis of Electrocardiography Signals for Atrial Fibrillation
This paper aims to analyze the electrocardiography (ECG) signals for patient with atrial fibrillation (AF) by using bispectrum and extreme learning machine (ELM). AF is the most common irregular heart beat disease which may cause many cardiac diseases as well. Bispectral analysis was used to extract...
Saved in:
Main Author: | Necmettin Sezgin |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2013/509784 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation
by: Juan Ródenas, et al.
Published: (2017-01-01) -
Detection of atrial fibrillation in primary care with radial pulse palpation, electronic blood pressure measurement and handheld single-lead electrocardiography: a diagnostic accuracy study
by: Wim A M Lucassen, et al.
Published: (2022-06-01) -
Change in Atrial Fibrillation Burden over Time in Patients with Nonpermanent Atrial Fibrillation
by: Philipp Krisai, et al.
Published: (2020-01-01) -
Atrial Fibrillation: Mechanisms and Management
by: Tong Liu, et al.
Published: (2019-01-01) -
Organized Atrial Tachycardias after Atrial Fibrillation Ablation
by: Sergio Castrejón-Castrejón, et al.
Published: (2011-01-01)