Diagnosis of multiclass tachycardia beats using recurrence quantification analysis and ensemble classifiers

U Desai, RJ Martis, UR Acharya, CG Nayak… - Journal of Mechanics …, 2016 - World Scientific
Atrial Fibrillation (A-Fib), Atrial Flutter (AFL) and Ventricular Fibrillation (V-Fib) are fatal
cardiac abnormalities commonly affecting people in advanced age and have indication of …

Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model

NP Venkatesh, RP Kumar, BC Neelapu, K Pal… - … Signal Processing and …, 2024 - Elsevier
Atrial arrhythmias are more frequently encountered arrhythmias with a significant impact on
mortality and morbidity. Electrocardiogram (ECG) consisting of P, Q, R, S, and T waves is a …

The influence of atrial flutter in automated detection of atrial arrhythmias-are we ready to go into clinical practice?”

V Domazetoski, G Gligoric, M Marinkovic… - Computer Methods and …, 2022 - Elsevier
Objective To investigate the impact of atrial flutter (A fl) in the atrial arrhythmias classification
task. We additionally advocate the use of a subject-based split for future studies in the field …

[PDF][PDF] Automated ECG Diagnosis

DE Upasani, RD Kharadkar - IOSR Journal of Engineering, 2012 - academia.edu
Myocardial ischemia & other cardiac disorder diagnosis using long duration
electrocardiographic recordings is a simple and non-invasive method that needs further …

Feature extraction from a novel ECG model for arrhythmia diagnosis

J Zhu, L He, Z Gao - Bio-Medical Materials and Engineering, 2014 - content.iospress.com
Feature extraction is a crucial aspect of computer-aided arrhythmia diagnosis using an
electrocardiogram (ECG). A location, width and magnitude (LWM) model is proposed for …

Automated diagnosis of tachycardia beats

U Desai, CG Nayak, G Seshikala, RJ Martis… - Smart Computing and …, 2018 - Springer
Due to tachycardia, heart generates lethal arrhythmia beats namely atrial flutter (AFL), atrial
fibrillation (A-Fib), and ventricular fibrillation (V-Fib). These irregular patterns are very …

[PDF][PDF] Integration of HRV, WT and neural networks for ECG arrhythmias classification

A Dallali, A Kachouri, M Samet - methods, 2006 - researchgate.net
The classification of the electrocardiogram registration (ECG) into different pathologies
disease devises is a complex pattern recognition task. The registered signal can be …

Ανάλυση αυθόρμητης κοιλιακής ταχυαρρυθμίας

Χ Σοϊλεμές - 2023 - dspace.uowm.gr
Οι καρδιαγγειακές παθήσεις αποτελούν την κορωνίδα των αιτιών της παγκόσμιας
θνησιμότητας απαριθμώντας 17 εκατομμύρια θανάτους ετησίως αποτελώντας το 30% των …

Discrimination between atrial flutter and atrial fibrillation by computing a flutter index

R Fischer, G Klein, B Widiger, L Hoy… - … in Cardiology, 2005, 2005 - ieeexplore.ieee.org
We currently present the advanced development of our 12-lead ECG analyzing program
HES. Recently our algorithm did not differentiate between atrial fibrillation or atrial flutter …

EMD based cardiac arrhythmia classification using multi-class SVM

G Lee, B Cho - Journal of the Korea Institute of Information and …, 2010 - koreascience.kr
Electrocardiogram (ECG) analysis and arrhythmia recognition are critical for diagnosis and
treatment of ill patients. Cardiac arrhythmia is a condition in which heart beat may be …