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- research-articleDecember 2024
Detection of cardiac abnormalities in ECG signal using time-based signal processing algorithm
International Journal of Computational Vision and Robotics (IJCVR), Volume 15, Issue 1Pages 59–74https://doi.org/10.1504/ijcvr.2025.143052Electrocardiograms are bioelectrical signals that provide information regarding the normal and abnormal physiology of the heart. Early detection of cardiac irregularities in cardiac patients prevents strokes and sudden deaths. The effective functioning ...
- ArticleJuly 2024
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers
- Esmeralda Ruiz Pujadas,
- Nay Aung,
- Liliana Szabo,
- Zahra Raisi-Estabragh,
- Marina Camacho,
- Steffen E. Petersen,
- Polyxeni Gkontra,
- Karim Lekadir
AbstractIschemic heart disease (IHD) is the main cause of death globally. The coexistence of IHD with atrial fibrillation (AF) can result in a reduced lifespan and severe disabilities. Despite the significant impact of AF on individuals with IHD, the ...
- research-articleSeptember 2024
Estimating the perspicacious features of ECG recording based on template classification for detecting atrial fibrillation
International Journal of Advanced Intelligence Paradigms (IJAIP), Volume 29, Issue 1Pages 17–27https://doi.org/10.1504/ijaip.2024.141524Atrial fibrillation (AF) is the most extreme basic managed cardiovascular arrhythmia, happening in 1-2% of the overall public and is related with generous demise. The available AF distinguishing techniques are here and there unfit to segregate AF from ...
- research-articleMarch 2023
12-lead ECG signal processing and atrial fibrillation prediction in clinical practice
Technology and Health Care (TAHC), Volume 31, Issue 2Pages 417–433https://doi.org/10.3233/THC-212925BACKGROUND:Because clinically used 12-lead electrocardiography (ECG) devices have high falsepositive errors in automatic interpretations of atrial fibrillation (AF), they require substantial improvements before use.
OBJECTIVE:A clinical 12-lead ...
- research-articleMarch 2023
REACT DX registry: Real world REACTion to atrial high rate episodes detected in implantable cardioverter-defibrillator recipients with a DX lead
- Matthew O’Connor,
- Christof Kolb,
- Norbert Klein,
- Thomas Rauwolf,
- Stefan Kuster,
- Stefan Kääb,
- Roland Richard Tilz,
- Dietmar Bänsch,
- Hüseyin Ince,
- Roberto Belke,
- Tino Hauser,
- Katrin Rietsch,
- Jan F. Krämer,
- Niels Wessel,
- Carsten Lennerz
Technology and Health Care (TAHC), Volume 31, Issue 2Pages 735–746https://doi.org/10.3233/THC-220432BACKGROUND:Atrial fibrillation (AF) is associated with significant morbidity and is predicted by atrial high rate events. The early detection of AF is paramount to timely interventions to reduce the morbidity of AF. The DX ICD system combined with ...
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- research-articleSeptember 2021
On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection
ACM Transactions on Embedded Computing Systems (TECS), Volume 20, Issue 5sArticle No.: 56, Pages 1–25https://doi.org/10.1145/3476987Atrial Fibrillation (AF), one of the most prevalent arrhythmias, is an irregular heart-rate rhythm causing serious health problems such as stroke and heart failure. Deep learning based methods have been exploited to provide an end-to-end AF detection by ...
- research-articleJuly 2019
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningPages 1909–1916https://doi.org/10.1145/3292500.3330657We develop an algorithm that accurately detects Atrial Fibrillation (AF) episodes from photoplethysmograms (PPG) recorded in ambulatory free-living conditions. We collect and annotate a dataset containing more than 4000 hours of PPG recorded from a ...
- research-articleJuly 2018
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks
KDD '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningPages 715–723https://doi.org/10.1145/3219819.3219912Detection of atrial fibrillation (AF), a type of cardiac arrhythmia, is difficult since many cases of AF are usually clinically silent and undiagnosed. In particular paroxysmal AF is a form of AF that occurs occasionally, and has a higher probability of ...
- research-articleJuly 2017
Impressions of older patients with cardiovascular diseases to smart devices for heart rhythm monitoring
- Eric Ding,
- Dongqi Liu,
- Apurv Soni,
- Oluwaseun Adaramola,
- Dong Han,
- Syed Khairul Bashar,
- Yeonsik Noh,
- Ki H. Chon,
- David D. McManus
CHASE '17: Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering TechnologiesPages 270–271https://doi.org/10.1109/CHASE.2017.97Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world and AF predominantly affects older individuals. Smart devices, including phones and watches, offer potential as mechanisms to detect AF and facilitate its treatment, but older ...
- ArticleSeptember 2014
Computer Simulation of Cathode Ablation for Atrial Fibrillation
CIT '14: Proceedings of the 2014 IEEE International Conference on Computer and Information TechnologyPages 721–725https://doi.org/10.1109/CIT.2014.37We performed the computer simulation of cathode ablation for a trial fibrillation based on the standard and improved Cox maze III procedure with transmural ablation or not. At first, a computational a trial model was built from MRI images of a male ...
- ArticleJune 2013
Bayesian segmentation of atrium wall using globally-optimal graph cuts on 3D meshes
IPMI'13: Proceedings of the 23rd international conference on Information Processing in Medical ImagingPages 656–667https://doi.org/10.1007/978-3-642-38868-2_55Efficient segmentation of the left atrium (LA) wall from delayed enhancement MRI is challenging due to inconsistent contrast, combined with noise, and high variation in atrial shape and size. We present a surface-detection method that is capable of ...
- ArticleJune 2013
Determination of atrial myofibre orientation using structure tensor analysis for biophysical modelling
FIMH'13: Proceedings of the 7th international conference on Functional Imaging and Modeling of the HeartPages 425–432https://doi.org/10.1007/978-3-642-38899-6_50Myofibre orientation plays an important role in electrical activation patterns in the heart. Biophysical models of the whole atria, however, have not yet incorporated realistic myofibre architecture. In this study, we use structure tensor (ST) analysis ...
- ArticleJune 2013
Atrial fibrosis and atrial fibrillation: a computer simulation in the posterior left atrium
- Jichao Zhao,
- Robert S. Stephenson,
- Greg B. Sands,
- Ian J. LeGrice,
- Henggui Zhang,
- Jonathan C. Jarvis,
- Bruce H. Smaill
FIMH'13: Proceedings of the 7th international conference on Functional Imaging and Modeling of the HeartPages 400–408https://doi.org/10.1007/978-3-642-38899-6_47Computer models, especially those integrated with high resolution 3D surface geometry and myofibre structure throughout the whole atria, are powerful instruments to investigate the mechanism of atrial fibrillation. There are many factors that may ...
- articleMarch 2013
Visualizing intracardiac atrial fibrillation electrograms using spectral analysis
- Joao Loures Salinet Jr.,
- Guilherme N. Oliveira,
- Frederique Jos Vanheusden,
- Joao Luiz Dihl Comba,
- Ghulam Andre Ng,
- Fernando Soares Schlindwein
Computing in Science and Engineering (IEEECS_CISE-NEW), Volume 15, Issue 2Pages 79–87https://doi.org/10.1109/MCSE.2013.37Atrial fibrillation is the most common cardiac arrhythmia, and it is associated with increased risk of stroke, heart failure, and mortality. This work describes spectral analysis techniques that are being used in conjunction with visualization ...
- ArticleOctober 2012
Limited angle c-arm tomography and segmentation for guidance of atrial fibrillation ablation procedures
MICCAI'12: Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part IPages 634–641https://doi.org/10.1007/978-3-642-33415-3_78Angiographic projections of the left atrium (LA) and the pulmonary veins (PV) acquired with a rotational C-arm system are used for 3D image reconstruction and subsequent automatic segmentation of the LA and PV to be used as roadmap in fluoroscopy guided ...
- research-articleJuly 2012
LifeVision: integrating heart rate sensing in lifelogging camera for accurate risk diagnosis for the elderly
i-CREATe '12: Proceedings of the 6th International Conference on Rehabilitation Engineering & Assistive TechnologyArticle No.: 35, Pages 1–4Many elderly citizens suffer from irregular heartbeat due to common cardiac diseases such as atrial fibrillation. Even though information pertaining to the activities that elderly were engaging during the occurrences of irregular heartbeat would be ...
- ArticleJuly 2012
3D-2D registration based on mesh-derived image bisection
- David Thivierge-Gaulin,
- Chen-Rui Chou,
- Atilla P. Kiraly,
- Christophe Chefd'Hotel,
- Norbert Strobel,
- Farida Cheriet
WBIR'12: Proceedings of the 5th international conference on Biomedical Image RegistrationPages 70–78https://doi.org/10.1007/978-3-642-31340-0_8Electrophysiology procedures such as catheter ablation for atrial fibrillation are non-invasive approaches for treating heart arrhythmia. These operations necessitate contrast liquid injections for the left atrium and pulmonary veins to be visible under ...
- ArticleNovember 2011
Reliable atrial activity extraction from ECG atrial fibrillation signals
CIARP'11: Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and ApplicationsPages 621–629https://doi.org/10.1007/978-3-642-25085-9_74Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical research, with a prevalence of 0.4% to 1% of the population. Therefore, the study of AF is an important research field that can provide great treatment improvements. In this ...
- ArticleSeptember 2011
Validation of a novel method for the automatic segmentation of left atrial scar from delayed-enhancement magnetic resonance
STACOM'11: Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challengesPages 254–262https://doi.org/10.1007/978-3-642-28326-0_26Delayed-enhancement magnetic resonance imaging is an effective technique for imaging left atrial (LA) scars both pre- and post- radio-frequency ablation for the treatment of atrial fibrillation. Existing techniques for LA scar segmentation require ...
- research-articleSeptember 2011
Curvature analysis of cardiac excitation wavefronts
CMSB '11: Proceedings of the 9th International Conference on Computational Methods in Systems BiologyPages 151–160https://doi.org/10.1145/2037509.2037532We present the Spiral Classification Algorithm (SCA), a fast and accurate algorithm for classifying electrical spiral waves and their associated breakup in cardiac tissues. The classification performed by SCA is an essential component of the detection ...
