Signal Processing Systems
Dept. of Microelectronics

prof.dr. N.M.S. de Groot

Parttime Professor
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: Cardiologist-Electrophysiologist, chief Research Unit Translational Electrophysiology

Themes: Biomedical signal processing/wavefield imaging

Biography

Prof. Dr. Natasja MS de Groot is professor in translational electrophysiology at Erasmus Medical Center (Rotterdam). She is a Medical Delta professor at EMC and TU Delft, and in this context appointed as part-time professor at SPS and BE.

At EMC (her primary affiliation), she works as cardiologist-electrophysiologist. She is director of the unit translational electrophysiology and principal investigator of the Erasmus Medical Center of Atrial Fibrillation.

In 2018, she became leader of the Medical Delta Cardiac Arrhythmia Lab, one of the flagships of the collaboration between Leiden University Medical Center, Erasmus Medical Center and TU Delft.

Medical Delta Cardiac Arrhythmia Lab

Part of a larger program (with Erasmus MC) to unravel and target electropathology related to atrial arrhythmia

Projects history

Earlier recognition of cardiovascular diseases

Atrial Fibrillation FIngerPrinting: Spotting Bio-Electrical Markers to Early Recognize Atrial Fibrillation by the Use of a Bottom-Up Approach

Biomedical Signal Processing

Simulation of transmembrane potentials and corresponding electrograms

Simulation of transmembrane potentials and corresponding electrograms, based on the monodomain and the Courtemanche models.

Software, Mar 2023

cardiac fibre direction estimator

Estimator of the cardiac fibre direction from local activation times of a piece of cardiac tissue,

Software, Mar 2023

Improved Local Activation Time Annotation in Fractionated Atrial Electrograms of Atrial Mappings

Matlab software for improved estimation Local Activation Time in Fractionated Atrial Electrograms

Software, Feb 2023

  1. A Singular-value-based Map to Highlight Abnormal Regions Associated with Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG
    H. Moghaddasi; R.C. Hendriks; B. Hunyadi; P. Knops; M.S. van Schie; N.M.S. de Groot; A.J. van der Veen;
    IEEE Trans. Biomedical Eng.,
    2024. DOI: 10.1109/TBME.2024.3420412
    document

  2. A Comparison of Methods for Fiber Direction Estimation from Electrograms
    Elena van Breukelen; Johannes Willem de Vries; Mathijs van schie; Natasja de Groot; Richard C. Hendriks;
    In 2024 Computing in Cardiology (CinC),
    2024.

  3. High Dominant Frequencies and Fractionated Potentials Do Not Indicate Focal or Rotational Activation During AF
    L. N. van Staveren; R. C. Hendriks; Y. J. H. J. Taverne; N. M. S. de Groot;
    Journal of the American College of Cardiology: Clinical Electrophysiology,
    2023.

  4. Estimation of Cardiac Fibre Direction Based on Activation Maps
    J. W. de Vries; M. Sun; N. M. S. de Groot; R. C. Hendriks;
    In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    2023. Additional material: software • software

  5. An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questions
    F. J. Wesselius; M. S.van Schie ; N. M. S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 143, April 2022. DOI: 10.1016/j.compbiomed.2022.105331
    document

  6. Joint cardiac tissue conductivity and activation time estimation using confirmatory factor analysis
    Miao Sun; Natasja de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 144, May 2022. DOI: 10.1016/j.compbiomed.2022.105393
    document

  7. Classification of De Novo Post-Operative and Persistent Atrial Fibrillation Using Multi-Channel ECG Recordings
    Hanie Moghaddasi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M.S. de Groot; Borbala Hunyadi;
    Computers in Biology and Medicine,
    Volume 143, April 2022. DOI: 10.1016/j.compbiomed.2022.105270
    document

  8. Estimation of the Atrial Activity from Electrograms: A Beamforming Perspective
    Tijs Moree; Mathijs S. van Schie; Natasja M. S. de Groot; Richard C. Hendriks;
    In Computing in Cardiology,
    2022.
    document • software

  9. Surface Electrocardiogram Reconstruction Using Intra-operative Electrograms
    H. Moghaddasi; B. Hunyadi; A.J. van der Veen; N.M.S. de Groot; R.C. Hendriks;
    In 42nd WIC Symposium on Information Theory and Signal Processing in the Benelux (SITB 2022),
    Louvain la Neuve, Belgium, pp. 136, 2022.
    document

  10. Novel rank-based features of atrial potentials for the classification between paroxysmal and persistent atrial fibrillation
    H. Moghaddasi; R.C. Hendriks; A.J. van der Veen; N.M.S. de Groot; B. Hunyadi;
    In 2022 Computing in Cardiology (CinC),
    IEEE, September 2022.
    document

  11. Analyzing the Effect of Electrode Size on Electrogram and Activation Map Properties
    Bahareh Abdi; Mathijs S. van Schie; N. M. S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 134, July 2021. DOI: https://doi.org/10.1016/j.compbiomed.2021.104467
    document

  12. Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper
    N.M.S. de Groot; D. Shah; P.M. Boyle; E. Anter; G.D. Clifford; I. Deisenhofer; T. Deneke; P. van Dessel; O. Doessel; P. Dilaveris; F.R. Heinzel; S. Kapa; P. Lambiase; J. Lumens; P.G. Platonov; T. Ngarmukos; J.P. Martinez; A. Sanchez; Y. Takahashi; B.P. Valdigem; A.J. van der Veen; K. Vernooy; R. Casado-Arroyo;
    EP Europace,
    pp. 1-18, December 2021. DOI: https://doi.org/10.1093/europace/euab254
    document

  13. Cardiac Tissue Conductivity Estimation Using Confirmatory Factor Analysis
    Miao Sun; Natasja M.S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 135, Aug. 2021. DOI: https://doi.org/10.1016/j.compbiomed.2021.104604
    document

  14. Digital Biomarkers and Algorithms for Detection of Atrial Fibrillation using Surface Electrocardiograms: A Systematic Review
    Fons J.Wesselius; Mathijs S. van Schie; Natasja M. S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    2021. DOI: https://doi.org/10.1016/j.compbiomed.2021.104404
    document

  15. Improved local activation time annotation of fractionated atrial electrograms for atrial mapping
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M.S. de Groot;
    Computers in Biology and Medicine,
    Volume 117, February 2020. ISSN: 0010-4825. DOI: 10.1016/j.compbiomed.2019.103590
    document • software

  16. Graph-Time Spectral Analysis for Atrial Fibrillation
    Miao Sun; Elvin Isufi; Natasja M.S. de Groot; Richard C. Hendriks;
    Biomedical Signal Processing and Control,
    Volume 59, May 2020. DOI: https://doi.org/10.1016/j.bspc.2020.101915
    document

  17. Tensor-based Detection of Paroxysmal and Persistent Atrial Fibrillation from Multi-channel ECG
    H. Moghaddasi; A.J. van der Veen; N.M.S. de Groot; B. Hunyadi;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 1155-1159, August 2020.
    document

  18. Local Activation Time Estimation in Atrial Electrograms Using Cross-Correlation over Higher-Order Neighbors
    B. Kolling; B. Abdi; N.M.S. de Groot; R.C. Hendriks;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 905-909, August 2020.
    document

  19. A Compact Matrix Model for Atrial Electrograms for Tissue Conductivity Estimation
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    Computers in Biology and Medicine,
    Volume 107, pp. 284-291, April 2019. DOI: 10.1016/j.compbiomed.2019.02.012
    document

  20. A Simplified Atrial Electrogram Model for Tissue Conductivity Estimation
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    In 7th Dutch Bio-Medical Engineering Conference (Book of abstracts),
    Egmond aan Zee (Netherlands), January 2019.

  21. Local Activation Time Estimation in Fractionated Electrograms of Cardiac Mappings
    Bahareh Abdi; Alle-Jan van der Veen; Natasja de Groot; Richard C. Hendriks;
    In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
    pp. 285-288, 2019. ISBN: 978-1-5386-1312-2. DOI: 10.1109/EMBC.2019.8856683
    document

  22. Ventricular Activity Signal Removal in Atrial Electrograms of Atrial Fibrillation
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    In Biosignals,
    Prague (Czech Republic), pp. 179-184, February 2019. DOI: 10.5220/0007388901790184
    document

  23. A Graph Signal Processing Framework for Atrial Activity Extraction
    Miao Sun; Elvin Isufi; M.S de Groot; Richard C. Hendriks;
    In 27th European Signal Processing Conference (EUSIPCO 2019),
    2019.
    document

  24. Local activation time annotation in atrial electrogram arrays using deconvolution
    B. Abdi; R.C. Hendriks; A.J. van der Veen; N.M.S. de Groot;
    In 2019 Computing in Cardiology (CinC),
    IEEE, 2019. DOI: 10.23919/CinC49843.2019.9005874
    document

  25. A 26 uW 8 bit 10 MS/s Asynchronous SAR ADC for Low Energy Radios
    P.J.A. Harpe; C. Zhou; Yu Bi; N.P. van der Meijs; X. Wang; K. Philips; G. Dolmans; H. de Groot;
    IEEE J. Solid State Circuits,
    Volume 46, Issue 7, pp. 1585-1595, July 2011. 10.1109/JSSC.2011.2143870.
    document

BibTeX support

Last updated: 31 Dec 2022

Natasja de Groot

PhD students