ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke …

PE Dilaveris, CK Antoniou, EG Caiani… - … Heart Journal-Digital …, 2022 - academic.oup.com
The role of subclinical atrial fibrillation as a cause of cryptogenic stroke is unambiguously
established. Long-term electrocardiogram (ECG) monitoring remains the sole method for …

An effective LSTM recurrent network to detect arrhythmia on imbalanced ECG dataset

J Gao, H Zhang, P Lu, Z Wang - Journal of healthcare …, 2019 - Wiley Online Library
To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram
(ECG) beat plays a significant role in computer‐aided arrhythmia diagnosis systems …

Multiple physiological signals fusion techniques for improving heartbeat detection: A review

J Tejedor, CA García, DG Márquez, R Raya, A Otero - Sensors, 2019 - mdpi.com
This paper presents a review of the techniques found in the literature that aim to achieve a
robust heartbeat detection from fusing multi-modal physiological signals (eg …

Cardiac disease detection from ECG signal using discrete wavelet transform with machine learning method

MM Suhail, TA Razak - Diabetes Research and Clinical Practice, 2022 - Elsevier
Objectives Cardiac disease is the leading cause of death worldwide. If a proper diagnosis is
made early, cardiovascular problems can be prevented. The ECG test is a diagnostic …

Differential beat accuracy for ECG family classification using machine learning

A Vadillo-Valderrama, R Goya-Esteban… - IEEE …, 2022 - ieeexplore.ieee.org
Holter systems record the electrocardiogram (ECG), which is used to identify beat families
according to their origin and severity. Many systems have been proposed using signal …

[HTML][HTML] Online automatic detection of phrenic nerve activation during cryoablation procedure for atrial fibrillation treatment

A Gil-Izquierdo, R Mateos-Gaitán… - … Signal Processing and …, 2025 - Elsevier
Abstract Background and Aim: Cryoballoon ablation is an effective technique for treating
Atrial Fibrillation (AF). Its application in the pulmonary vein antrum poses a potential risk of …

[HTML][HTML] Manifold analysis of the P-wave changes induced by pulmonary vein isolation during cryoballoon procedure

L Martinez-Mateu, FM Melgarejo-Meseguer… - Computers in Biology …, 2023 - Elsevier
Abstract Background/Aim: In atrial fibrillation (AF) ablation procedures, it is desirable to know
whether a proper disconnection of the pulmonary veins (PVs) was achieved. We …

Efficient ANN algorithms for sleep apnea detection using transform methods

J Bali, A Nandi, PS Hiremath - Advancement of machine intelligence in …, 2020 - Springer
Sound sleep is an important parameter of health as it is directly related to the health of the
heart as well of the brain and psychological health of the human. Sleep disorder or sleep …

Enabling heart self-monitoring for all and for AAL—Portable device within a complete telemedicine system

AL Bleda, FM Melgarejo-Meseguer, FJ Gimeno-Blanes… - Sensors, 2019 - mdpi.com
During the last decades there has been a rapidly growing elderly population and the
number of patients with chronic heart-related diseases has exploded. Many of them (such as …

[PDF][PDF] Performance comparison of ANN classifiers for sleep apnea detection based on ECG signal analysis using hilbert transform

J Bali, A Nandi, PS Hiremath - International Journal Of Computers …, 2018 - researchgate.net
In this paper, a methodology for sleep apnea detection based on ECG signal analysis using
Hilbert transform is proposed. The proposed work comprises a sequential procedure of …