Leif Sornmo
Lund, M, Sweden
Last Updated: 09/26/2026
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Found 68 publications
Performance comparison of parameters characterizing P wave variability before the onset of atrial fibrillation.
Journal: Journal of electrocardiology
Published: May 08, 2026
ECG-Based Detection of Acute Myocardial Infarction Using a Wrist-Worn Device.
Journal: IEEE transactions on bio-medical engineering
Published: June 16, 2025
Performance Evaluation of QT-RR Adaptation Time Lag Estimation in Exercise Stress Testing.
Journal: IEEE transactions on bio-medical engineering
Published: June 05, 2024
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG.
Journal: IEEE journal of biomedical and health informatics
Published: May 24, 2024
Assessment of the relational strength between triggers detected in physiological signals and the occurrence of atrial fibrillation episodes.
Journal: Physiological measurement
Published: April 09, 2024
Detection of Non-Sustained Supraventricular Tachycardia in Atrial Fibrillation Screening.
Journal: IEEE journal of translational engineering in health and medicine
Published: October 05, 2023
Characterization of Atrial Fibrillation Episode Patterns: A Comparative Study.
Journal: IEEE transactions on bio-medical engineering
Published: July 07, 2023
ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions.
Journal: IEEE transactions on bio-medical engineering
Published: June 22, 2023
Can 24 h of ambulatory ECG be used to triage patients to extended monitoring?
Journal: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
Published: May 31, 2023
Spectral Analysis of Heart Rate Variability in Time-Varying Conditions and in the Presence of Confounding Factors.
Journal: IEEE reviews in biomedical engineering
Published: November 08, 2022
Atrial fibrillation episode patterns as predictor of clinical outcome of catheter ablation.
Journal: Medical & biological engineering & computing
Published: May 20, 2022
Training Convolutional Neural Networks on Simulated Photoplethysmography Data: Application to Bradycardia and Tachycardia Detection.
Journal: Frontiers in physiology
Published: April 25, 2022
Last Updated: 09/26/2026