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Leif Sörnmo

Leif Sörnmo

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
10885
World Ranking
3605
National Ranking
27

Research.com Recognitions

  • 2018 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2017 - IEEE Fellow For contributions to biomedical signal processing in cardiac applications

Overview

Leif Sörnmo is affiliated with Lund University in Sweden and has made contributions primarily within the field of Medicine, focusing extensively on Cardiology and Cardiovascular Medicine. Their research also spans areas such as Biomedical Engineering, Cognitive Neuroscience, Signal Processing, and Artificial Intelligence.

Their work covers a range of topics including:

  • ECG Monitoring and Analysis
  • Atrial Fibrillation Management and Outcomes
  • Cardiac electrophysiology and arrhythmias
  • Heart Rate Variability and Autonomic Control
  • Non-Invasive Vital Sign Monitoring
  • EEG and Brain-Computer Interfaces
  • Cardiac Arrhythmias and Treatments

Leif Sörnmo's frequent co-authors include:

  • Andrius Petrėnas
  • Vaidotas Marozas
  • Monika Butkuvienė
  • Alba Martín-Yebra
  • Pablo Laguna

Their publications are often found in these venues:

  • Computing in cardiology
  • IEEE Transactions on Biomedical Engineering
  • Physiological Measurement
  • Biomedical Signal Processing and Control
  • arXiv (Cornell University)

Representative recent papers include:

  • "A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG," 2020, Scientific Reports
  • "Considerations on Performance Evaluation of Atrial Fibrillation Detectors," 2021, IEEE Transactions on Biomedical Engineering
  • "RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG," 2024, IEEE Journal of Biomedical and Health Informatics
  • "Training Convolutional Neural Networks on Simulated Photoplethysmography Data: Application to Bradycardia and Tachycardia Detection," 2022, Frontiers in Physiology
  • "Spectral Analysis of Heart Rate Variability in Time-Varying Conditions and in the Presence of Confounding Factors," 2022, IEEE Reviews in Biomedical Engineering

Leif Sörnmo has been recognized with several awards, including:

  • Fellow of the Indian National Academy of Engineering (INAE), 2018
  • IEEE Fellow, 2017, for contributions to biomedical signal processing in cardiac applications

Best Publications

  • Bioelectrical Signal Processing in Cardiac and Neurological Applications

    Leif Sörnmo;Pablo Laguna

  • Clustering ECG complexes using Hermite functions and self-organizing maps

    M. Lagerholm;C. Peterson;G. Braccini;L. Edenbrandt

  • Principal component analysis in ECG signal processing

    Francisco Castells;Pablo Laguna;Leif Sörnmo;Andreas Bollmann

  • Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation

    M. Stridh;L. Sornmo

  • Software QRS detection in ambulatory monitoring--a review.

    O. Pahlm;L. Sörnmo

  • Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications

    Andreas Bollmann;Daniela Husser;Luca Mainardi;Federico Lombardi

  • A robust method for ECG-based estimation of the respiratory frequency during stress testing

    R. Bailon;L. Sornmo;P. Laguna

  • Electrocardiogram (ECG) Signal Processing

    Leif Sörnmo;Pablo Laguna

  • Delineation of the QRS complex using the envelope of the e.c.g.

    M. E. Nygårds;L. Sörnmo

  • Changes in high-frequency QRS components are more sensitive than ST-segment deviation for detecting acute coronary artery occlusion

    Jonas Pettersson;Olle Pahlm;Elena Carro;Lars Edenbrandt

  • Sequential characterization of atrial tachyarrhythmias based on ECG time-frequency analysis

    M. Stridh;L. Sornmo;C.J. Meurling;S.B. Olsson

  • Computer-based detection and analysis of heart sound and murmur.

    Milad El-Segaier;O Lilja;S Lukkarinen;Leif Sörnmo

  • A Method for Evaluation of QRS Shape Features Using a Mathematical Model for the ECG

    Leif Sornmo;Per Ola Borjesson;Mats-Erik Nygards;Olle Pahlm

  • Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties

    M. Stridh;L. Sornmo;C.J. Meurling;S.B. Olsson

  • Time-varying digital filtering of ECG baseline wander

    L. Sörnmo

  • QRS Slopes for Detection and Characterization of Myocardial Ischemia

    E. Pueyo;L. Sornmo;P. Laguna

  • Low-complexity detection of atrial fibrillation in continuous long-term monitoring

    Andrius Petrenas;Vaidotas Marozas;Leif Sörnmo

  • Analysis of Heart Rate Variability Using Time-Varying Frequency Bands Based on Respiratory Frequency

    R. Bailon;P. Laguna;L. Mainardi;L. Sornmo

  • Predicting spontaneous termination of atrial fibrillation using the surface ECG

    Frida Nilsson;Martin Stridh;Andreas Bollmann;Leif Sörnmo

  • A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG

    Carolina Varon;John Morales;Jesús Lázaro;Michele Orini

  • Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring

    J. Garcia;L. Sornmo;S. Olmos;P. Laguna

Frequent Co-Authors

Galen S. Wagner
Galen S. Wagner Duke University
Dimitri Van De Ville
Dimitri Van De Ville École Polytechnique Fédérale de Lausanne
Luca Faes
Luca Faes University of Palermo
Charles Maynard
Charles Maynard University of Washington
Mårten Segelmark
Mårten Segelmark Lund University
Ki H. Chon
Ki H. Chon University of Connecticut
Dan M. Roden
Dan M. Roden Vanderbilt University Medical Center
Helmut U. Klein
Helmut U. Klein University of Rochester Medical Center
Gerhard Hindricks
Gerhard Hindricks Leipzig University
Rolf Johansson
Rolf Johansson Lund University

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