Signal Processing Systems
Dept. of Microelectronics

Natasja de Groot

Publications

  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

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