Sanjiv M. Narayan
YOU?
Author Swipe
View article: Long-term, ambulatory 12-lead ECG from a single non-standard lead using perceptual reconstruction
Long-term, ambulatory 12-lead ECG from a single non-standard lead using perceptual reconstruction Open
Background: Despite its broadening indications, the implantable cardiac monitor (ICM) records a narrow, nonstandard electrocardiogram (ECG) signal which precludes morphological and functional assessments or the application of 12-lead ECG m…
View article: The effect of clinically relevant changes in extracellular electrolyte concentrations on human atrial arrhythmias
The effect of clinically relevant changes in extracellular electrolyte concentrations on human atrial arrhythmias Open
Background Patients with recent-onset atrial fibrillation (AF) frequently present with plasma electrolyte imbalances. Low plasma concentrations of potassium (hypokalaemia), and more recently low plasma concentrations of sodium (hyponatremi…
View article: Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders
Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders Open
View article: Deep Learning-Based Approach to Emergency Department Chest Pain Risk Stratification by ECG
Deep Learning-Based Approach to Emergency Department Chest Pain Risk Stratification by ECG Open
View article: Peri-procedure and Mid-Long Term Effects of Pulsed Field Ablation vs. Thermal Ablation (Cryo- or Radiofrequency) on Autonomic Nervous System Function in Atrial Fibrillation: A Systematic and Quantitative Pooled-Analysis with Potential Implications for Patient Selection (The PULSE-COLD-HEAT-ANS Collaboration)
Peri-procedure and Mid-Long Term Effects of Pulsed Field Ablation vs. Thermal Ablation (Cryo- or Radiofrequency) on Autonomic Nervous System Function in Atrial Fibrillation: A Systematic and Quantitative Pooled-Analysis with Potential Implications for Patient Selection (The PULSE-COLD-HEAT-ANS Collaboration) Open
Aims Ablation modalities differ in their mechanisms of action, tissue specificity, and collateral effects—particularly on the cardiac autonomic nervous system. This study aimed to compare the autonomic effects of pulsed field ablation (PFA…
View article: Artificial intelligence and real-time directional guidance in arrhythmia management
Artificial intelligence and real-time directional guidance in arrhythmia management Open
View article: ID: 4349938 AN AUTOMATED TOOL FOR EXTRACTION AND PARSING OF ECG WAVEFORMS FROM ECG REPORTS TO TRAIN MACHINE LEARNING MODELS
ID: 4349938 AN AUTOMATED TOOL FOR EXTRACTION AND PARSING OF ECG WAVEFORMS FROM ECG REPORTS TO TRAIN MACHINE LEARNING MODELS Open
View article: 2025 International Expert Practical Guide on the Use of the Pentaspline Pulsed Field Ablation System in Atrial Fibrillation Ablation Procedures
2025 International Expert Practical Guide on the Use of the Pentaspline Pulsed Field Ablation System in Atrial Fibrillation Ablation Procedures Open
Pulsed field ablation (PFA) has been developed as a largely nonthermal ablation technology with a unique biophysical profile to treat atrial fibrillation. Existing evidence has shown that PFA offers a safe and efficient atrial fibrillation…
View article: Effect of Cardiac Fiber Orientation on Electrical Dyssynchrony in Ventricular Ectopy
Effect of Cardiac Fiber Orientation on Electrical Dyssynchrony in Ventricular Ectopy Open
Background Widened QRS complex confers worse prognosis in both pacing and premature ventricular contraction (PVC), and may predispose to heart failure. In healthy adult patients, cardiac fiber orientation is highly variable. While traversi…
View article: A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy
A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy Open
In the field of cardiac electrophysiology (EP), effectively reducing noise in intra-cardiac signals is crucial for the accurate diagnosis and treatment of arrhythmias and cardiomyopathies. However, traditional noise reduction techniques fa…
View article: Artificial Intelligence Beat-Tracking Improves Regional Rate
Artificial Intelligence Beat-Tracking Improves Regional Rate Open
Background Pulmonary vein isolation (PVI) is the most effective approach to treat atrial fibrillation (AF), but 30-40% of patients require additional therapy. CAPLA and historical trials such as RADAR posit that ablating rapid sites on the…
View article: Designing artificial-intelligence based tracking of atrial fibrillation waves to identify ablation response
Designing artificial-intelligence based tracking of atrial fibrillation waves to identify ablation response Open
Background Ablation for atrial fibrillation (AF) is successful in many patients, yet it is difficult to identify responders. Physiologically, ‘electrical fingerprints’ should be important, yet clinical features (drivers, fractionation, oth…
View article: Predicting dementia in patients with atrial fibrillation using machine learning of a large multimodal registry
Predicting dementia in patients with atrial fibrillation using machine learning of a large multimodal registry Open
Background Growing evidence indicates a significant association between atrial fibrillation (AF) and dementia. This link has been compelling enough to shape recent AF management guidelines, which now provide a class II indication for cathe…
View article: Comparing artificial-intelligence based tracking of atrial fibrillation waves with clinical phenotypes in patients undergoing ablation
Comparing artificial-intelligence based tracking of atrial fibrillation waves with clinical phenotypes in patients undergoing ablation Open
Background Atrial fibrillation (AF) is a major cause of morbidity and mortality, which is reduced by ablation. However, predicting response is difficult and mostly done using static chart data, since it is difficult to interpret AF electro…
View article: State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology
State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology Open
Aims Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), particularly in arrhythmia detection, procedural optimization, and patient outcome prediction. However, a standardized approach to reporting a…
View article: CONTINUOUS LONG-TERM QT INTERVAL MONITORING USING SPATIALLY ENCODED DEEP LEARNING OF DERIVED IMPLANTABLE CARDIAC MONITOR SIGNALS
CONTINUOUS LONG-TERM QT INTERVAL MONITORING USING SPATIALLY ENCODED DEEP LEARNING OF DERIVED IMPLANTABLE CARDIAC MONITOR SIGNALS Open
View article: LARGE LANGUAGE MODELS IDENTIFY ATRIAL FIBRILLATION PROGRESSION ON UNPRECEDENTED SCALE
LARGE LANGUAGE MODELS IDENTIFY ATRIAL FIBRILLATION PROGRESSION ON UNPRECEDENTED SCALE Open
View article: Addressing contemporary threats in anonymised healthcare data using privacy engineering
Addressing contemporary threats in anonymised healthcare data using privacy engineering Open
Cyber-attacks on healthcare entities and leaks of personal identifiable information (PII) are a growing threat. However, it is now possible to learn sensitive characteristics of an individual without PII, by combining advances in artificia…
View article: Angiotensin-Converting Enzyme Inhibition as a Potential Risk Factor for Periprosthetic Joint Infection Following Total Knee Arthroplasty
Angiotensin-Converting Enzyme Inhibition as a Potential Risk Factor for Periprosthetic Joint Infection Following Total Knee Arthroplasty Open
View article: Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning
Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning Open
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respond to ablation. While any arrhythmia patient may recur after acutely successful ablation, AF is unusual in that patients may have long-term …
View article: Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram Open
Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to iden…
View article: Identification of atrial myopathy and atrial fibrillation recurrence after ablation using 3D left atrial phasic strain from retrospective gated computed tomography
Identification of atrial myopathy and atrial fibrillation recurrence after ablation using 3D left atrial phasic strain from retrospective gated computed tomography Open
Aims Reduced left atrial (LA) mechanical function associates with atrial myopathy and adverse clinical endpoints in atrial fibrillation (AF) patients; however, conventional 2D imaging modalities are limited by atrial foreshortening and sub…
View article: Atrial fibrillation nomenclature, definitions, and mechanisms: Position paper from the international Working Group of the Signal Summit
Atrial fibrillation nomenclature, definitions, and mechanisms: Position paper from the international Working Group of the Signal Summit Open
View article: Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure
Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure Open
In patients with dyssynchronous heart failure (DHF), cardiac conduction abnormalities cause the regional distribution of myocardial work to be non-homogeneous. Cardiac resynchronization therapy (CRT) using an implantable, programmed bivent…
View article: ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring Open
We present ConvexECG, an explainable and resource-efficient method for reconstructing six-lead electrocardiograms (ECG) from single-lead data, aimed at advancing personalized and continuous cardiac monitoring. ConvexECG leverages a convex …
View article: Mathematical modelling of the train station of the heart: the atrio‐ventricular node
Mathematical modelling of the train station of the heart: the atrio‐ventricular node Open
View article: Prediction of sudden cardiac death using artificial intelligence: Current status and future directions
Prediction of sudden cardiac death using artificial intelligence: Current status and future directions Open
View article: Learning AI for busy clinicians: Staying ahead
Learning AI for busy clinicians: Staying ahead Open
View article: Factors of engagement in research after graduation from EP fellowship: An HRS survey
Factors of engagement in research after graduation from EP fellowship: An HRS survey Open
View article: Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset
Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset Open
Background: Segmenting computed tomography (CT) is crucial in various clinical applications, such as tailoring personalized cardiac ablation for managing cardiac arrhythmias. Automating segmentation through machine learning (ML) is hindere…