Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis

NJ Welton, A McAleenan, HHZ Thom… - Health technology …, 2017 - discovery.ucl.ac.uk
BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk
of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been …

[HTML][HTML] Heart sound classification based on bispectrum features and vision transformer mode

Z Liu, H Jiang, F Zhang, W Ouyang, X Li… - Alexandria Engineering …, 2023 - Elsevier
In regions with limited resources and moderate incomes, the relentless spectre of
cardiovascular diseases (CVDs) continues to loom large. Amidst this challenge, the precise …

A new hand finger movements' classification system based on bicoherence analysis of two-channel surface EMG signals

N Sezgin - Neural Computing and Applications, 2019 - Springer
In this study, two-channel surface electromyography (sEMG) signals were used to classify
hand finger movements. Bicoherence analysis of the sEMG signal recorded with surface …

A framework for the atrial fibrillation prediction in electrophysiological studies

P Vizza, A Curcio, G Tradigo, C Indolfi… - Computer methods and …, 2015 - Elsevier
Background and objective Cardiac arrhythmias are disorders in terms of speed or rhythm in
the heart's electrical system. Atrial fibrillation (AFib) is the most common sustained …

Predicting Spontaneous Termination of Atrial Fibrillation Based on Analysis of Standard Electrocardiograms: A Systematic Review

B Wadforth, JS Goh, K Tiver… - Annals of …, 2024 - Wiley Online Library
Background Forward prediction of atrial fibrillation (AF) termination is a challenging
technical problem of increasing significance due to rising AF presentations to emergency …

Persistence landscape-based topological data analysis for personalized arrhythmia classification

Y Liu, L Wang, Y Yan - 2023 IEEE 19th International …, 2023 - ieeexplore.ieee.org
Human ECG sensing signals can be regarded as the observed variables of the human
heart's nonlinear dynamic system, which can effectively reflect the state changes of the heart …

Nonlinear and statistical analysis of ECG signals from arrhythmia affected cardiac system through the EMD process

C Maji, P Sengupta, A Batabyal… - arxiv preprint arxiv …, 2020 - arxiv.org
The human heart is a complex system exhibiting stochastic nature, as reflected in
electrocardiogram (ECG) signals. ECG signal is a weak, non-stationary, and nonlinear …

[PDF][PDF] Aşırı Öğrenme Makineleri ile biyolojik sinyallerin gizli kaynaklarına ayrıştırılması

ÖF Ertuğrul - Dicle Üniversitesi Mühendislik Fakültesi Mühendislik …, 2016 - dergipark.org.tr
Artan teknoloji, düşen maliyetler ve küçülen donanım boyutları nedeniyle işaret işleme
yöntemleri birçok alanda sıklıkla kullanılmaya başlanmıştır. Algılanan bazı sinyaller tek bir …

Kolmogorov complexity of coronary sinus atrial electrograms before ablation predicts termination of atrial fibrillation after pulmonary vein isolation

K Stępień, P Kuklik, JJ Żebrowski, P Sanders… - Entropy, 2019 - mdpi.com
Atrial fibrillation (AF) is related to a very complex local electrical activity reflected in the rich
morphology of intracardiac electrograms. The link between electrogram complexity and …

[PDF][PDF] Classification of ECG signals using hybrid particle swarm optimization in extreme learning machine

S Karpagachelvi - Int. J. Appl. Sci. Eng. Res, 2014 - Citeseer
An Electrocardiogram or ECG is an electrical footage of the heart and is used in the
investigation of heart disease. This ECG can be classified as normal and abnormal signals …