A5004060743- Atrial Fibrillation Management and Outcomes
- Cardiac electrophysiology and arrhythmias
- Cardiac Arrhythmias and Treatments
- ECG Monitoring and Analysis
- Cardiovascular Function and Risk Factors
- EEG and Brain-Computer Interfaces
- Cardiac pacing and defibrillation studies
- Cardiovascular Disease and Adiposity
- Cardiac Imaging and Diagnostics
- Phonocardiography and Auscultation Techniques
- Advanced MRI Techniques and Applications
- Engineering Applied Research
- Machine Learning in Healthcare
- Industrial Vision Systems and Defect Detection
- Neuroscience and Neural Engineering
- Acute Ischemic Stroke Management
- Advanced Neuroimaging Techniques and Applications
- Blind Source Separation Techniques
- Congenital Heart Disease Studies
- Analytical Chemistry and Sensors
- Cell Image Analysis Techniques
- Currency Recognition and Detection
- Statistical Methods in Clinical Trials
- Microfluidic and Capillary Electrophoresis Applications
- Advanced Scientific Research Methods
Universitair Ziekenhuis Brussel
2023-2025
Vrije Universiteit Brussel
2023-2025
University of Edinburgh
2022-2024
University of Iowa Hospitals and Clinics
2024
Università della Svizzera italiana
2016-2023
St Thomas' Hospital
2023
King's College London
2023
Edinburgh College
2023
Swiss Institute for Regenerative Medicine
2018-2023
Maastricht University
2012-2018
Background— The transition from persistent to permanent atrial fibrillation (AF) is associated with increased complexity of fibrillatory conduction. We have investigated the spatial distribution waves and structural alterations in free walls a goat model AF. Methods Results— AF was maintained for 3 weeks (short term [ST], AF) or 6 months (long [LT], AF). Fibrillation patterns were assessed epicardial mapping. origin sites conduction abnormalities more homogeneously distributed LT than ST...
Atrial fibrillation (AF) is accompanied by progressive epicardial fibrosis, dissociation of electrical activity between the layer and endocardial bundle network, transmural conduction (breakthroughs). However, causal relationships these phenomena have not been demonstrated yet. Our goal was to test hypothesis that fibrosis suffices increase endo-epicardial (EED) breakthroughs (BT) during AF.We simulated effect in on EED BT a detailed, high-resolution, three-dimensional model human atria with...
Brugada syndrome (BrS) is an inherited disease associated with increased risk of ventricular arrhythmias. Recent studies have reported the presence altered atrial phenotype characterized by abnormal P-wave parameters. The aim this study was to identify BrS based exclusively on features through artificial intelligence (AI)-based model.
Brain Computer Interface one of hopeful interface technologies between humans and machines. Electroencephalogram-based Interfaces have become a hot spot in the research neural engineering, rehabilitation, brain science. The artifacts are disturbance that can occur during signal acquisition alter analysis signals themselves. Detecting produced electroencephalography data by muscle activity, eye blinks electrical noise is common important problem research. In this research, we used five...
This work presents an open-source software pipeline to create patient-specific left atrial models with fibre orientations and a fibrDEFAULTosis map, suitable for electrophysiology simulations, quantifies the intra inter observer reproducibility of model creation. The semi-automatic takes as input contrast enhanced magnetic resonance angiogram, late gadolinium (LGE) (CMR). Five operators were allocated 20 cases each from set 50 CMR datasets total 100 evaluate intra-operator variability. Each...
Background: This study aims to get an effective machine learning (ML) prediction model of new-onset postoperative atrial fibrillation (POAF) following coronary artery bypass grafting (CABG) and highlight the most relevant clinical factors. Methods: Four ML algorithms were employed analyze 394 patients undergoing CABG, their performances compared: Multivariate Adaptive Regression Spline, Neural Network, Random Forest, Support Vector Machine. Each algorithm was applied training data set choose...
Background: Pulmonary vein isolation (PVI) is the main ablation strategy for treatment of paroxysmal atrial fibrillation. Different technologies are available PVI, including various cryoballoon catheters (CB-A). Compared with Arctic Front Advance Pro™, novel POLARx FIT™ CB-A might reduce costs fibrillation ablation. Objective: The aim this study to perform a health economic evaluation two systems PVI procedures. Methods: All patients undergoing their first procedure or Pro™ were...
Background: Pulmonary vein isolation (PVI) is the main ablation strategy for treatment of paroxysmal atrial fibrillation. Different technologies are available PVI, including various cryoballoon catheters (CB-A). Compared with Arctic Front Advance Pro™, novel POLARx FIT™ CB-A might reduce costs fibrillation ablation. Objective: The aim this study to perform a health economic evaluation two systems PVI procedures. Methods: All patients undergoing their first procedure or Pro™ were...
The alcoholism is one of psychiatric phenotype, which results from interplay between genetic and environmental factors. Not only it leads to brain defects but also associated cognitive, emotional, behavioral impairments. It can be detected by analyzing EEG signals. In this research, the power spectrum Haar mother wavelet extracted as features. Then principle component analysis applied for dimension reduction feature vectors. Finally support vectors machine neural networks are used...
Structural alterations during atrial fibrillation (AF) not only lead to electrical dissociation within the epicardial layer, but also between layer and endocardial bundle network. The aim of study was investigate role transmural conduction in stability AF episodes using a dual-layer computer model.A proof-of-principle model developed which connections layers can be introduced or removed at any time simulation. Using an S1-S2 protocol, spiral wave initiated one layers, degenerated into...
Loss of side-to-side electrical connections between atrial muscle bundles is thought to underlie conduction disturbances predisposing fibrillation (AF). Putatively, disruption occurs not only within the epicardial layer but also and endocardial bundle network, thus impeding transmural conductions (‘breakthroughs’). However, both clinical experimental studies have shown an enhancement breakthroughs during later stages AF. We tested hypothesis that endo-epicardial uncoupling enhances...
Background Short ECG P-wave duration has recently been demonstrated to be associated with higher risk of atrial fibrillation (AF). The aim this study was assess the rate AF recurrence after pulmonary vein isolation in patients a short P wave, and mechanistically elucidate observation by computer modeling. Methods Results A total 282 consecutive undergoing first single-pulmonary procedure for paroxysmal or persistent were included. Computational models studied effect adenosine sodium...
Computational models of atrial fibrillation have successfully been used to predict optimal ablation sites. A critical step assess the effect an pattern is pace model from different, potentially random, locations determine whether arrhythmias can be induced in atria. In this work, we propose use multi-fidelity Gaussian process classification on Riemannian manifolds efficiently regions atria where are inducible. We build a probabilistic classifier that operates directly surface. take advantage...
Premature Ventricular Contraction (PVC) beats are of great importance in evaluating and predicting life threatening ventricular arrhythmias. The aim this study is to improve the diagnosis level detection PVC arrhythmia from ECG signals. This improvement based on an appropriate choice features for selected task. We extracted fourteen including, temporal, morphological MIT/BIH signals database then applying LDA algorithm, we reduced them into nine features. Finally use a Neural Network, ANFIS,...
Abstract Aims Catheter ablation (CA) is an established treatment for atrial fibrillation (AF). A computed tomography (CT) may be performed before to evaluate the anatomy of pulmonary veins. The aim this study investigate prevalence patients with coronary artery disease (CAD) detected by cardiac CT scan pre-ablation and impact CAD revascularization on outcomes after AF ablation. Methods results All consecutive diagnosis, hospitalized at Universitair Ziekenhuis Brussel, Belgium, between 2015...
P-wave beat-to-beat morphological variability can identify patients prone to paroxysmal atrial fibrillation (AF). To date, no computational study has been carried out mechanistically explain such finding. The aim of this was provide a pathophysiological explanation, by using computer model the human atria, correlation between and risk AF.A physiological in earliest activation site (EAS), on basis, introduced into atria randomizing EAS location. A methodology for generating multi-scale,...
Rotors are postulated to maintain cardiac fibrillation. Despite the importance of bipolar electrograms in clinical electrophysiology, few data exist on properties at rotor sites. The pivot a spiral wave is characterized by relative uncertainty wavefront propagation direction compared periphery. used electrophysiology recording encode information both and timing approaching wavefronts.To test hypothesis that from rotors have higher Shannon entropy (ShEn) than recorded periphery due spatial...
Embolic stroke of unknown source (ESUS) accounts for 1 in 6 ischemic strokes. Current guidelines do not recommend routine cardiac magnetic resonance (CMR) imaging ESUS, and beyond the identification cardioembolic sources, there are no data assessing new clinical findings from CMR ESUS. This study aimed to assess prevalence noncardiac determine their impact on care patients with
Abstract Aims Electric conduction in the atria is direction-dependent, being faster fibre direction, and possibly heterogeneous due to structural remodelling. Intracardiac recordings of atrial activation may convey such information, but only with high-quality data. The aim this study was apply a patient-specific approach enable assessment even when data are scarce, noisy, incomplete. Methods results Contact intracardiac left atrium from nine patients who underwent ablation therapy were...
An adaptive neuro-fuzzy interface system (ANFIS) classifier was used for automated detection of ischemic episodes resulting from ST-T segment elevation or depression. The performance the method measured using European database. In particular, in terms beat by- ischemia and episodes. algorithm to cluster then train ANFIS classifier. is capable detecting independent lead used. It found that average episode sensitivity 88.62% specificity 99.65%. This can be electrocardiogram (ECG) processing...