A5090487626- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Atrial Fibrillation Management and Outcomes
- Cardiac Arrhythmias and Treatments
- Cardiac pacing and defibrillation studies
- Tissue Engineering and Regenerative Medicine
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Healthcare Technology and Patient Monitoring
- Biomedical and Engineering Education
- Hemodynamic Monitoring and Therapy
- Blind Source Separation Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Advanced MRI Techniques and Applications
- Cardiac Valve Diseases and Treatments
- Cardiovascular Syncope and Autonomic Disorders
- Heart Rate Variability and Autonomic Control
- Neurological disorders and treatments
- Pain Management and Treatment
- Electrostatic Discharge in Electronics
- Gaussian Processes and Bayesian Inference
- Pluripotent Stem Cells Research
- Manufacturing Process and Optimization
- Cardiac Structural Anomalies and Repair
- Advanced Neuroimaging Techniques and Applications
Hospital General Universitario Gregorio Marañón
2016-2025
Universidad Carlos III de Madrid
2015-2025
Centro de Investigación Biomédica en Red
2022-2025
Centro de Investigación en Red en Enfermedades Cardiovasculares
2021-2025
Instituto de Salud Carlos III
2020-2024
Centre for Biomedical Network Research on Rare Diseases
2022-2023
Universitat Politècnica de València
2018
Abstract Generation of upscaled quantities human‐induced pluripotent stem cell‐derived cardiomyocytes (hiPSC‐CM), for therapeutic or testing applications, is both expensive and time‐consuming. Herein, a scalable bioprocess hiPSC‐CM expansion in stirred‐tank bioreactors (STB) developed. By combining the continuous activation Wnt pathway, through perfusion CHIR99021, within mild hypoxia environment, as aggregates maximized, reaching 4 billion pure 2L STB. In particular, importance i)...
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most prevalent genetic kidney disorder. Animal preclinical studies are one of main tools to study this disease, often through either 2D histology imaging for high-resolution analysis or CT MRI full segmentation. As an alternative these modalities, we propose use Light Sheet Fluorescence Microscopy (LSFM) 3D healthy and ADPKD-induced mouse kidneys, enabling a detailed volumetric morphological disease's effects. In ADPKD model, ex...
To enable large in silico trials and personalized model predictions on clinical timescales, it is imperative that models can be constructed quickly reproducibly. First, we aimed to overcome the challenges of constructing cardiac at scale through developing a robust, open-source pipeline for bilayer volumetric atrial models. Second, investigate effects fibres, fibrosis representation fibrillatory dynamics. construct models, extended our previously developed coordinate system incorporate...
Multichannel intracavitary electrograms (EGMs) are acquired at the electrophysiology laboratory to guide radio frequency catheter ablation of patients suffering from atrial fibrillation. These EGMs used by cardiologists determine candidate areas for (e.g., corresponding high dominant frequencies or complex fractionated electrograms). In this paper, we introduce two hierarchical algorithms retrieve causal interactions among these multiple EGMs. Both based on Granger causality, but other...
The maintaining and initiating mechanisms of atrial fibrillation (AF) remain controversial. Deep learning is emerging as a powerful tool to better understand AF improve its treatment, which remains suboptimal. This paper aims provide solution automatically identify rotational activity drivers in endocardial electrograms (EGMs) with convolutional recurrent neural networks (CRNNs). CRNN model was compared two other state-of-the-art methods (SimpleCNN attention-based time-incremental network...
Rotational activations, or spiral waves, are one of the proposed mechanisms for atrial fibrillation (AF) maintenance. We present a system assessing presence rotational activity from intracardiac electrograms (EGMs). Our is able to operate in real-time with multi-electrode catheters different topologies contact wall, and it based on new local activation time (LAT) estimation detection methods. The EGM LAT method identification highest sustained negative slope unipolar signals. implemented as...
Structural and post-ablation gender differences are reported in atrial fibrillation (AF). We analyzed the structural remodeling AF mechanisms patients with persistent/long-lasting who underwent wide area circumferential pulmonary vein isolation (WACPVI). Ultra-high-density mapping was used to study drivers 85 consecutive patients. Focal rotational activity (RAc) were identified CartoFinder system activation sequence analysis. The impact of RAc location on outcomes analyzed. This included 64...
Multi-channel intracardiac electrocardiograms (electrograms) are sequentially acquired, at the electrophysiology laboratory, in order to guide radio frequency catheter ablation during heart surgery performed on patients with sustained atrial fibrillation (AF). These electrograms used by cardiologists determine candidate areas for (e.g., corresponding high dominant frequencies or complex fractionated electrograms). In this paper, we introduce a novel hierarchical algorithm causality discovery...
Considerable effort has been recently devoted to the design of schemes for parallel implementation sequential Monte Carlo (SMC) methods dynamical systems, also widely known as particle filters (PFs). In this paper, we present a brief survey recent techniques, with an emphasis on availability analytical results regarding their performance. Most parallelisation can be interpreted running ensemble lower-cost PFs, and differences between depend degree interaction among members ensemble. We...
Multi-channel intracardiac electrocardiograms (electrograms) are sequentially acquired during heart surgery performed on patients with sustained atrial fibrillation (AF) to guide radio frequency catheter ablation. These electrograms used by cardiologists determine candidate areas for ablation (e.g., corresponding high dominant frequencies or complex electrograms). In this paper, we introduce a novel hierarchical causality analysis method the multi-output electrograms. The causal model...
The arrhythmic substrate of ventricular tachycardias in many structural heart diseases is located the epicardium, often resulting poor outcomes with currently available therapies. Cardiosphere-derived cells (CDCs) have been shown to modify myocardial scarring. A total 19 Large White pigs were infarcted by occlusion mid-left anterior descending coronary artery for 150 min. Baseline cardiac magnetic resonance (CMR) imaging late gadolinium enhancement sequences was obtained 4 weeks...
Abstract Background The acquisition of electroanatomical (EA) maps in clinical electrophysiology procedures typically depends on locating intracardiac mapping catheters through magnetic triangulation with external patches placed the patient's skin. However, this configuration is hampered by shifts reference system if patient moves or setup changes during procedure. Leveraging feature extraction capabilities artificial intelligence models, it becomes possible to assess catheter positions...
Abstract Background Distinguishing atrioventricular nodal reentrant tachycardia (AVNRT) from orthodromic (AVRT) presents a diagnostic challenge, with clinical and electrocardiogram (ECG) features playing crucial role in differential diagnosis. Purpose The aim of this study was to devise validate predictive algorithm that utilises basic ECG parameters accurately classify AVNRT versus AVRT. Furthermore, integrated into user-friendly, web-based tool support decision-making. Methods We conducted...
Clinical data suggest that cardiosphere-derived cells (CDCs) could modify post-infarction scar and ventricular remodeling reduce the incidence of tachycardia (VT). This paper assesses effect CDCs on VT substrate in a pig model postinfarction monomorphic VT. We studied electrophysiological properties histological structure dense heterogeneous tissue (HT). Optical mapping evaluation were performed 16 weeks after induction myocardial infarction by transient occlusion left anterior descending...
Unipolar atrial fibrillation (AF) electrograms (EGMs) require far-field ventricle cancellation to recover hidden activations. Current methods cannot achieve real-time because of the temporal delay they introduce. We propose a new ventricular (RVC) method based on causal implementation optimized for functioning. The is similar classical average beat subtraction (ABS) but it computes contribution before activation finishes. compare proposed ABS synthetic and real EGM databases time frequency...
Abstract Introduction Complexity and fragmentation presence in atrial fibrillation (AF) electrograms (EGMs) has been extensively studied the literature, with areas exhibiting complex fractionated (CFAEs) postulated as responsible for AF maintenance. Computational simulations based on silico models are widely employed to support initiating maintenance theories. However, they still limited when trying mimic effect of fibrosis live cardiac cells its impact clinical context, i.e., EGM...
A high dimensional tracking system based on the FithzHugh-Nagumo (FH-N) equations emulating biological excitation and propagation dynamics of action potential across cardiac cells is proposed.The modified FH-N model tracks electric wavefronts a tissue, an approximated atrial fibrillation scenario.Bayesian achieved with two particle filter (PF) schemes: sequential Auxiliary PF (APF) parallelized method, Independent APF (IAPF).The numerical results examples, involving both estimation errors...
The mechanisms underlying atrial fibrillation (AF) are still under debate, making treatments for this arrhythmia remain suboptimal, with most applied in a standard fashion no patient personalization.Recent technological advances electroanatomical mapping (EAM) using multi-electrode catheter allow the physicians to better characterize substrate, thanks spatial resolution and higher density of acquisition points.Taking advantage technology, we describe workflow build personalized...
Activity detection in atrial fibrillation (AF) electrograms (EGMs) is a key concept to understand the mechanisms of this frequent arrhythmia and design new strategies for its treatment.We present method that employs Hidden Markov Models (HMMs) identify activity presence bipolar EGMs.The fully unsupervised hence it does not require labeled training data.The HMM was validated compared non-linear energy operator (NLEO) set manually annotated performed better than NLEO exhibited more robustness...