A5075770147- Cardiac electrophysiology and arrhythmias
- Cardiac pacing and defibrillation studies
- Cardiac Arrhythmias and Treatments
- ECG Monitoring and Analysis
- Cardiovascular Syncope and Autonomic Disorders
- Heart Rate Variability and Autonomic Control
- Cardiovascular Function and Risk Factors
- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
- Cardiac Imaging and Diagnostics
- Atrial Fibrillation Management and Outcomes
- Heart Failure Treatment and Management
- Cardiac Arrest and Resuscitation
- Botulinum Toxin and Related Neurological Disorders
- Hallucinations in medical conditions
- Heart rate and cardiovascular health
- Cardiovascular and exercise physiology
- Non-Invasive Vital Sign Monitoring
- Vascular anomalies and interventions
- Neurology and Historical Studies
- Antiplatelet Therapy and Cardiovascular Diseases
- Lipoproteins and Cardiovascular Health
- EEG and Brain-Computer Interfaces
- Acute Myocardial Infarction Research
- Blood Pressure and Hypertension Studies
National and Kapodistrian University of Athens
2016-2025
Hippocration General Hospital
2015-2025
Cork University Hospital
2023
University of Ioannina
2014
Hospital for Sick Children
2011
Tarbiat Modares University
2011
Asan Medical Center
2011
National Heart Centre Singapore
2011
St David's Medical Center
2011
First Affiliated Hospital of Xinjiang Medical University
2011
Abstract Aims Sudden cardiac death (SCD) annual incidence is 0.6–1% in post-myocardial infarction (MI) patients with left ventricular ejection fraction (LVEF)≥40%. No recommendations for implantable cardioverter-defibrillator (ICD) use exist this population. Methods and results We introduced a combined non-invasive/invasive risk stratification approach post-MI ischaemia-free patients, LVEF ≥ 40%, multicentre, prospective, observational cohort study. Patients at least one positive...
We considered the role of programmed ventricular stimulation in primary prevention sudden cardiac death an idiopathic dilated cardiomyopathy population.One hundred fifty-eight patients with underwent stimulation. Ventricular tachycardia/ventricular fibrillation was triggered 44 (group I, 27.8%) versus 114 II), where not induced. Sixty-nine implantable cardioverter-defibrillator (ICD) implantation: 41/44 group I and 28/114 II. The major end points study were overall mortality appropriate ICD...
Heart failure (HF) is a multi-faceted and life-threatening syndrome that affects more than 64.3 million people worldwide. Current gold-standard screening technique, echocardiography, neglects cardiovascular information regulated by the circadian rhythm does not incorporate knowledge from patient profiles. In this study, we propose novel multi-parameter approach to assess heart using rate variability (HRV) clinical information.
Heart failure (HF) encompasses a diverse clinical spectrum, including instances of transient HF or with recovered ejection fraction, alongside persistent cases. This dynamic condition exhibits growing prevalence and entails substantial healthcare expenditures, anticipated escalation in the future. It is essential to classify patients into three groups based on their fraction: reduced (HFrEF), mid-range (HFmEF), preserved (HFpEF), such as for diagnosis, risk assessment, treatment choice,...
Background Deceleration capacity (DC) of heart rate proved an independent mortality predictor in postmyocardial infarction patients. The original method (DCorig) may produce negative values (9% our analyzed sample). We aimed to improve the and investigate if DC also predicts arrhythmic mortality. Methods Time series from 221 failure patients was with DCorig a new variant, DCsgn, which decelerations are characterized based on windows four consecutive beats not anchors. After 41.2 months, 69...
Cyclic variation of heart rate (CVHR) associated with sleep-disordered breathing is thought to reflect cardiac autonomic responses apnoeic/hypoxic stress. We examined whether blunted CVHR observed in ambulatory ECG could predict the mortality risk.CVHR night-time Holter was detected by an automated algorithm, and prognostic relationships frequency (FCV) amplitude (ACV) were 717 patients after myocardial infarction (post-MI 1, 6% mortality, median follow-up 25 months). The predictive power...
Background: Left ventricular ejection fraction (LVEF) is the gold standard for evaluating heart failure (HF) in coronary artery disease (CAD) patients. It an essential metric categorizing HF patients as preserved (HFpEF), mid-range (HFmEF), and reduced (HFrEF) but differs, depending on whether ASE/EACVI or ESC guidelines are used to classify HF. Objectives: We sought investigate effectiveness of using deep learning automated tool predict LVEF from patient clinical profiles regression...
Heart Failure (HF) significantly impacts approximately 26 million people worldwide, causing disruptions in the normal functioning of their hearts. The estimation left ventricular ejection fraction (LVEF) plays a crucial role diagnosis, risk stratification, treatment selection, and monitoring heart failure. However, achieving definitive assessment is challenging, necessitating use echocardiography. Electrocardiogram (ECG) relatively simple, quick to obtain, provides continuous patient's...