A5002389655- Cardiac electrophysiology and arrhythmias
- ECG Monitoring and Analysis
- Cardiovascular Function and Risk Factors
- Cardiac Arrhythmias and Treatments
- Cardiac pacing and defibrillation studies
- Cardiomyopathy and Myosin Studies
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Cardiac Imaging and Diagnostics
- Ion channel regulation and function
- EEG and Brain-Computer Interfaces
- Phonocardiography and Auscultation Techniques
- Cardiovascular Effects of Exercise
- Fault Detection and Control Systems
- Advanced MRI Techniques and Applications
- Hemodynamic Monitoring and Therapy
- stochastic dynamics and bifurcation
- Artificial Intelligence in Healthcare
- Birth, Development, and Health
- Machine Learning in Healthcare
- Gaussian Processes and Bayesian Inference
- Cardiovascular and exercise physiology
- Cardiovascular Issues in Pregnancy
- Advanced Biosensing Techniques and Applications
- Muscle activation and electromyography studies
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine
2009-2025
Universidad de Zaragoza
2009-2025
Instituto de Investigación Sanitaria Aragón
2012-2024
Instituto de Salud Carlos III
2022-2023
University of Oxford
1970-2021
British Heart Foundation
2016-2019
Science Oxford
2015
National Research Council
2015
University of Strathclyde
2015
Centro de Investigación Biomédica en Red
2009
Human-based modelling and simulations are becoming ubiquitous in biomedical science due to their ability augment experimental clinical investigations. Cardiac electrophysiology is one of the most advanced areas, with cardiac simulation being considered for virtual testing pharmacological therapies medical devices. Current models present inconsistencies data, which limit further progress. In this study, we design, development, calibration independent validation a human-based ventricular model...
Hypertrophic cardiomyopathy (HCM) is a cause of sudden arrhythmic death, but the understanding its pro-arrhythmic mechanisms and an effective pharmacological treatment are lacking. HCM electrophysiological remodelling includes both increased inward reduced outward currents, their role in promoting repolarisation abnormalities remains unknown. The goal this study to identify key ionic driving human HCM, evaluate anti-arrhythmic effects single multichannel current blocks.
To investigate how variability in activation sequence and passive conduction properties translates into clinical QRS biomarkers, gain novel physiological knowledge on the information contained human complex.Multiscale bidomain simulations using a detailed heart-torso anatomical model are performed to impact of characteristics biomarkers. Activation sequences built validated against experimentally-derived ex vivo data. R-peak amplitude exhibits largest terms morphology, due its simultaneous...
Aims: Ventricular arrhythmia triggers sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM), yet electrophysiological biomarkers are not used for risk stratification. Our aim was to identify distinct HCM phenotypes based on ECG computational analysis, and characterize differences clinical factors anatomical using magnetic resonance (CMR) imaging. Methods: High-fidelity 12-lead Holter ECGs from 85 patients 38 healthy volunteers were analyzed mathematical modeling clustering...
Aims: Patient-to-patient anatomical differences are an important source of variability in the electrocardiogram, and they may compromise identification pathological electrophysiological abnormalities. This study aims at quantifying contribution ventricular torso anatomies to QRS complexes 12-lead ECG using computer simulations. Methods: A computational pipeline is presented that enables simulations human torso/biventricular anatomically-based models from clinically standard magnetic...
The realisation of precision cardiology requires novel techniques for the non-invasive characterisation individual patients' cardiac function to inform therapeutic and diagnostic decision-making. electrocardiogram (ECG) is most widely used clinical tool diagnosis. Its interpretation is, however, confounded by functional anatomical variability in heart torso. In this study, we develop new computational estimate key ventricular activation properties subjects exploiting synergy between...
Action potential duration restitution (APDR) curves present spatial variations due to the electrophysiological heterogeneities in heart. Enhanced APDR dispersion ventricle has been suggested as an arrhythmic risk marker. In this study, we propose a method noninvasively quantify of slopes at tissue level by making only use surface electrocardiogram (ECG). The proposed estimate accounts for rate normalized differences steady-state <i xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Both biomedical research and clinical practice rely on complex datasets for the physiological genetic characterization of human hearts in health disease. Given complexity variety approaches recordings, there is now growing recognition need to embed computational methods cardiovascular medicine science analysis, integration prediction. This paper describes a Workshop Computational Cardiovascular Science that created an international, interdisciplinary inter-sectorial forum define next steps...
Background Sudden cardiac death (SCD) and pump failure (PFD) are common endpoints in chronic heart (CHF) patients, but prevention strategies different. Currently used tools to specifically predict these limited. We developed risk models assess SCD PFD CHF by combining ECG markers clinical variables. Methods The relation of with was assessed 597 patients enrolled the MUSIC (MUerte Súbita en Insuficiencia Cardiaca) study. indices included: turbulence slope (TS), reflecting autonomic...
To identify key structural and electrophysiological features explaining distinct electrocardiogram (ECG) phenotypes in hypertrophic cardiomyopathy (HCM).Human heart-torso anatomical models were constructed from cardiac magnetic resonance (CMR) images of HCM patients, representative ECG identified previously. High performance computing simulations using bidomain conducted to dissect the with increased Risk-SCD scores, namely Group 1A, characterized by normal QRS but inverted T waves laterally...
Abstract Aims Clinical consequences of coronary artery disease (CAD) are varied (e.g., atrial fibrillation [AF] and heart failure [HF]) current risk stratification tools ineffective. We aimed to identify clusters individuals with CAD exhibiting unique patterns on the electrocardiogram (ECG) in an unsupervised manner assess their association cardiovascular risk. Methods Twenty-one ECG markers were derived from single-lead median-beat ECGs 1,928 without a previous diagnosis AF, HF or...
Background Patients with chronic heart failure are at high risk of sudden cardiac death ( SCD ). Increased dispersion repolarization restitution has been associated , and we hypothesize that this should be reflected in the morphology T‐wave its variations rate. The aim study is to propose an electrocardiogram ECG )‐based index characterizing (TMR), assess association a population patients. Methods Results Holter s from 651 ambulatory patients MUSIC MU erte Súbita en Insuficiencia Cardiaca)...
Abstract Acute myocardial ischemia is a precursor of sudden arrhythmic death. Variability in its manifestation hampers understanding arrhythmia mechanisms and challenges risk stratification. Our aim to unravel the underlying how size, transmural extent location determine vulnerability ECG alterations. High performance computing simulations using human torso/biventricular biophysically-detailed model were conducted quantify impact varying ischemic region properties, including (LAD/LCX...
The surface electrocardiogram (ECG) is the most widely adopted test to diagnose cardiac diseases.Extracting critical biomarkers from these signals, such as QRS width, requires delineating fundamental waves in them.However, even though ECG signals significantly change depending on recording methodology and condition, available delineators are hard adapt non-considered cases.We present a deep learning-based multilead delineation method which can successfully delineate complexes.Our approach...
Most patients with hypertrophic cardiomyopathy (HCM), the most common genetic cardiac disease, remain asymptomatic, but others may suffer from sudden death. A better identification of those at risk, together a understanding mechanisms leading to arrhythmia, are crucial target high-risk and provide them appropriate treatment. However, this currently remains challenge. In paper, we present successful example implementing computational techniques for clinically-relevant applications. By...