A5101670515- ECG Monitoring and Analysis
- Control Systems and Identification
- Cardiac electrophysiology and arrhythmias
- Model Reduction and Neural Networks
- Image and Signal Denoising Methods
- Numerical methods for differential equations
- Matrix Theory and Algorithms
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Advanced MRI Techniques and Applications
- Cardiac Arrhythmias and Treatments
- Probabilistic and Robust Engineering Design
- Advanced Control Systems Optimization
- Atrial Fibrillation Management and Outcomes
- Non-Invasive Vital Sign Monitoring
- Blind Source Separation Techniques
- Statistical and numerical algorithms
- Fault Detection and Control Systems
- Electrical and Bioimpedance Tomography
- EEG and Brain-Computer Interfaces
- Statistical Methods and Inference
- Neural dynamics and brain function
- Phonocardiography and Auscultation Techniques
- Advanced Optimization Algorithms Research
- Analog and Mixed-Signal Circuit Design
Maastricht University
2016-2025
Japan External Trade Organization
2004-2006
Antwerp University Hospital
2003
University of Antwerp
2003
University of Amsterdam
1993
This study introduces singular spectrum decomposition (SSD), a new adaptive method for decomposing nonlinear and nonstationary time series in narrow-banded components. The takes its origin from analysis (SSA), nonparametric spectral estimation used prediction of series. Unlike SSA, SSD is which the choice fundamental parameters has been completely automated. achieved by focusing on frequency content signal. In particular, this holds window length to generate trajectory matrix data selection...
Beat-to-beat variability of repolarization duration (BVR) is an intrinsic characteristic cardiac function and a better marker proarrhythmia than prolongation alone. The ionic mechanisms underlying baseline BVR in physiological conditions, its rate dependence, the factors contributing to increased pathologies remain incompletely understood. Here, we employed computer modeling provide novel insights into subcellular under conditions during simulated drug-induced prolongation, mimicking long-QT...
Electrical activity at the level of heart muscle can be noninvasively reconstructed from body-surface electrocardiograms (ECGs) and patient-specific torso-heart geometry. This modality, coined electrocardiographic imaging, could fill gap between noninvasive (low-resolution) 12-lead ECG invasive (high-resolution) electrophysiology studies. Much progress has been made to establish clinical studies appear with increasing frequency. However, many assumptions model choices are involved in its...
Abstract Understanding adipose tissue cellular heterogeneity and homeostasis is essential to comprehend the cell type dynamics in metabolic diseases. Cellular subpopulations have been related disease development, but efforts towards characterizing composition are limited. Here, we identify of by using gene expression deconvolution large amounts publicly available transcriptomics level data. The proposed approach allows present a comprehensive study composition, determining relative 21...
In the absence of curative therapies, treatment metastatic castrate-resistant prostate cancer (mCRPC) using currently available drugs can be improved by integrating evolutionary principles that govern proliferation resistant subpopulations into current protocols. Here we develop what is coined as an ‘evolutionary stable therapy’, within context mathematical model has been used to inform first adaptive therapy clinical trial mCRPC. The objective this maintain a polymorphic tumor heterogeneity...
Complexity and signal recurrence metrics obtained from body surface potential mapping (BSPM) allow quantifying atrial fibrillation (AF) substrate complexity. This study aims to correlate electrocardiographic imaging (ECGI) detected reentrant patterns with BSPM-calculated complexity metrics. BSPM signals were recorded 28 AF patients (17 male, 11 women, 62.69 ± 8.09 y.o.), followed by ECGI calculation. Signal computed on signals. Rotors per second rotor duration for each atrium the whole...
Electrocardiographic imaging (ECGI) aims to noninvasively estimate heart surface potentials starting from body potentials. This is classically based on geometric information the torso and imaging, which complicates clinical application. In this study, we aim develop a deep learning framework solely potentials, enabling wider use. The introduces two main components: transformation of 3D geometries into standard 2D representations, development customized network model. representations maintain...
Signal processing by means of analog circuits offers advantages from a power consumption viewpoint. A method is described to implement wavelets in fitting the impulse response linear system time-reversed wavelet function. The performed using local search involving an L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> criterion, starting deterministic point. This approach large performance increase over previous Padé-based approaches and...
Abstract The Muscle Insulin Sensitivity Index (MISI) has been developed to estimate muscle-specific insulin sensitivity based on oral glucose tolerance test (OGTT) data. To date, the score implemented with considerable variation in literature and initial positive evaluations were not reproduced subsequent studies. In this study, we investigate computation of MISI OGTT data differing sampling schedules aim standardise improve its calculation. Seven time point for 2631 individuals from...
Drug-induced intrahepatic cholestasis (DIC) is a main type of hepatic toxicity that challenging to predict in early drug development stages. Preclinical animal studies often fail detect DIC humans. In vitro toxicogenomics assays using human liver cells have become practical approach human-relevant DIC. The present study was set up identify transcriptomic signatures by applying machine learning algorithms the Open TG-GATEs database. A total nine compounds and non-DIC were selected, supervised...
Background: The optimal way to determine repolarization time (RT) from the intracardiac unipolar electrogram (UEG) has been a topic of debate for decades. RT is typically determined by either Wyatt method or “alternative method,” which both consider UEG T-wave slope, but differently. Objective: To measure on UEG. Methods: Seven pig hearts surrounded an epicardial sock with 100 electrodes were Langendorff-perfused selective cannulation left anterior descending (LAD) coronary artery and...
The inverse problem of electrocardiography aims at noninvasively reconstructing electrical activity the heart from recorded body-surface electrocardiograms. A crucial step is regularization, which deals with ill-posedness by imposing constraints on possible solutions. We developed a regularization method that includes electrophysiological input. Body-surface potentials are and computed tomography scan performed to obtain torso-heart geometry. Propagating waveforms originating several...
The electrocardiogram (ECG) is the standard method in clinical practice to non-invasively analyze electrical activity of heart, from electrodes placed on body’s surface. ECG can provide a cardiologist with relevant information assess condition heart and possible presence cardiac pathology. Nonetheless, global view heart’s given by cannot fully detailed localized about abnormal propagation patterns corresponding substrates surface heart. Electrocardiographic imaging, also known as inverse...
The question of designing the best wavelet for a given signal is discussed from perspective orthogonal filter banks. Two performance criteria are proposed to measure quality wavelet, based on principle maximization variance. method illustrated and evaluated by means worked example biomedicine in area cardiac processing. experimental results show potential approach.
Given the association of disturbances in non-esterified fatty acid (NEFA) metabolism with development Type 2 Diabetes and Non-Alcoholic Fatty Liver Disease, computational models glucose-insulin dynamics have been extended to account for interplay NEFA. In this study, we use arteriovenous measurement across subcutaneous adipose tissue during a mixed meal challenge test evaluate performance underlying assumptions three existing construct new, refined model metabolism. Our introduces new terms,...
We present and apply an alternative method for the investigation of well-known parameter identifiability question non-linear system models. The is based on a geometric analysis parametric output sensitivities is, in fact, application tools that are available control theory to augmented system, including sensitivities. Accessibility Lie algebras calculated yield insight (through simple rank test) controllability this system. demonstrated example due Dochain et al [4]. Results confirmed by has...
BackgroundAlthough heart failure (HF) patients are known to experience repeated hospitalizations, most studies evaluated only time first event. N-Terminal B-type natriuretic peptide (NT-proBNP)–guided therapy has not convincingly been shown improve HF-specific outcomes, and effects on recurrent all-cause hospitalization uncertain. Therefore, we investigated the effect of NT-proBNP–guided events in HF with use a time-between-events approach hypothesis-generating analysis.Methods ResultsThe...
This study performs a comparison between Dower's inverse transform and Frank lead system for Myocardial Infarction (MI) identification. We have selected set of relevant features MI detection from the vectorcardiogram used lasso method after that to build model one leads system. Then we analyzed performance both models on detection. The proposed methods been tested using PhysioNet PTB database contains 550 records which 368 are MIs. Two main conclusions coming this study. first is equally...