A5025295873- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Microbial Inactivation Methods
- Cardiac Arrhythmias and Treatments
- Cardiac Imaging and Diagnostics
- Cardiac pacing and defibrillation studies
- Cardiovascular Function and Risk Factors
- Phonocardiography and Auscultation Techniques
- Cardiomyopathy and Myosin Studies
- Open Education and E-Learning
- Advanced MRI Techniques and Applications
- Electrostatic Discharge in Electronics
- Cardiovascular Effects of Exercise
- Innovative Teaching and Learning Methods
- Plasma Applications and Diagnostics
- Explainable Artificial Intelligence (XAI)
- Mobile Learning in Education
- Atrial Fibrillation Management and Outcomes
- Machine Learning in Healthcare
- Educational Tools and Methods
- Cardiac Structural Anomalies and Repair
- Tissue Engineering and Regenerative Medicine
- Education in Diverse Contexts
- Cardiac Valve Diseases and Treatments
- Heart Rate Variability and Autonomic Control
University Medical Center Utrecht
2016-2025
Utrecht University
2020-2024
Heidelberg University
2016-2024
University Hospital Heidelberg
2016-2024
Comm Solutions (Brazil)
2022-2023
University Medical Center
2022
Alfried Krupp Hospital
2014-2017
Netherlands Heart Institute
2014-2017
Witten/Herdecke University
2017
Abbott (Sweden)
2017
Esophageal ulceration and fistula are complications of pulmonary vein isolation using thermal energy sources. Irreversible electroporation is a novel, nonthermal ablation modality for isolation. A single 200 J application can create deep myocardial lesions. Acute chronic effects this new source on the esophagus unknown.In 8 pigs (±70 kg), suprasternal was surgically exposed. linear suction device with 35-mm long 6-mm wide protruding electrode inside plastic cup used ablation. Single,...
Irreversible electroporation (IRE) is a promising new nonthermal ablation technology for pulmonary vein (PV) isolation in patients with atrial fibrillation. Experimental data suggest that IRE produces large enough lesions without the risk of PV stenosis, artery, nerve, or esophageal damage. This study aimed to investigate feasibility and safety single pulse fibrillation.Ten symptomatic paroxysmal persistent fibrillation underwent under general anesthesia. Three-dimensional reconstruction...
Permanent coronary artery damage is a hazardous complication of epicardial radiofrequency ablation. Irreversible electroporation (IRE) promising nonthermal ablation modality able to create deep myocardial lesions. We investigated the effects IRE on luminal diameter and lesion depth.In 5 pigs (60-75 kg), pericardium was exposed using surgical subxiphoidal access. A custom deflectable octopolar 12-mm circular catheter with 2-mm ring electrodes introduced in via steerable sheath. After...
BACKGROUND The correct interpretation of the ECG is pivotal for accurate diagnosis many cardiac abnormalities, and conventional computerized has not been able to reach physician‐level accuracy in detecting (acute) abnormalities. This study aims develop validate a deep neural network comprehensive automated triage daily practice. METHODS AND RESULTS We developed 37‐layer convolutional residual on data set free‐text physician‐annotated 12‐lead s. was trained with 336.835 recordings from...
ECG interpretation requires expertise and is mostly based on physician recognition of specific patterns, which may be challenging in rare cardiac diseases. Deep neural networks (DNNs) can discover complex features ECGs facilitate the detection novel possibly play a pathophysiological role relatively unknown Using cohort PLN (phospholamban) p.Arg14del mutation carriers, we aimed to investigate whether DNN-based approach identify established features, but moreover, expand our knowledge these...
Deep neural networks (DNNs) perform excellently in interpreting electrocardiograms (ECGs), both for conventional ECG interpretation and novel applications such as detection of reduced ejection fraction (EF). Despite these promising developments, implementation is hampered by the lack trustworthy techniques to explain algorithms clinicians. Especially, currently employed heatmap-based methods have shown be inaccurate.
Abstract Aims This study aims to identify and visualize electrocardiogram (ECG) features using an explainable deep learning–based algorithm predict cardiac resynchronization therapy (CRT) outcome. Its performance is compared with current guideline ECG criteria QRSAREA. Methods results A learning algorithm, trained on 1.1 million ECGs from 251 473 patients, was used compress the median beat ECG, thereby summarizing most into only 21 factors (FactorECG). Pre-implantation of 1306 CRT patients...
Irreversible electroporation is a promising nonthermal ablation modality able to create deep myocardial lesions. We investigated lesion size after epicardial catheter with various energy levels subxiphoid pericardial puncture.In six 6-month-old pigs (60-75 kg), custom deflectable octopolar 12-mm circular 2-mm ring electrodes was introduced via sheath access by puncture. Nonarcing, nonbarotraumatic, cathodal 50, 100, and 200 J applications were delivered randomly on the basal, mid lateral...
Irreversible electroporation (IRE) using direct current (DC) is an effective method for the ablation of cardiac tissue. A major drawback use DC-IRE, however, are two problems: requirement general anesthesia due to severe muscle contractions and formation bubbles containing gaseous products from electrolysis. The high-frequency alternating (HF-IRE) expected solve both problems, because HF-IRE produces little no spasms does not cause In present study, we introduce a novel asymmetric, (aHF)...
While electrocardiogram (ECG) characteristics have been associated with life-threatening ventricular arrhythmias (LTVA) in dilated cardiomyopathy (DCM), they typically rely on human-derived parameters. Deep neural networks (DNNs) can discover complex ECG patterns, but the interpretation is hampered by their 'black-box' characteristics. We aimed to detect DCM patients at risk of LTVA using an inherently explainable DNN.
Abstract Aims Many portable electrocardiogram (ECG) devices have been developed to monitor patients at home, but the majority of these are single lead and only intended for rhythm disorders. We miniECG, a smartphone-sized device with four dry electrodes capable recording high-quality multi-lead ECG by placing on chest. The aim our study was investigate ability miniECG detect occlusive myocardial infarction (OMI) in chest pain. Methods results Patients presenting acute pain emergency...
Clinical machine learning research and artificial intelligence driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of specialists is often time-consuming expensive. This study tests feasibility automatic span- document-level diagnosis extraction from unstructured Dutch echocardiogram reports. We included 115,692 reports University Medical Center Utrecht, a large university hospital in Netherlands. A randomly selected...
Automated interpretation of electrocardiograms (ECGs) using deep neural networks (DNNs) has gained much attention recently. While the initial results have been encouraging, limited paid to whether such can be trusted, which is paramount for their clinical implementation. This study aims systematically investigate uncertainty estimation techniques automated classification ECGs DNNs and gain insight into its utility through a simulation.On total 526 656 from three different datasets, six...
Myocardial fibrosis can lead to heart failure and act as a substrate for cardiac arrhythmias. In dilated cardiomyopathy diffuse interstitial reactive be observed, whereas arrhythmogenic is characterized by fibrofatty replacement in predominantly the right ventricle. The p.Arg14del mutation phospholamban (PLN) gene has been associated with recently also cardiomyopathy. Aim of present study determine exact pattern fatty PLN positive patients, novel method high resolution systematic digital...
Recent studies demonstrated that irreversible electroporation (IRE) ablation may be an alternative method for thermal pulmonary vein isolation. Development of gaseous microemboli during catheter might lead to asymptomatic ischemic events and is therefore important research topic. Gas formation arcing with direct current has been studied in the past, however not nonarcing IRE-ablation.The aim present study was visualize, quantify, characterize gas millisecond IRE-pulses using a multielectrode...