dr.ir. T.H. de Groot

PhD student
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

PhD thesis (Jan 2015): Mission-driven Resource Management for Reconfigurable Sensing Systems
Promotor: Alexander Yarovoy, Oleg Krasnov

Expertise: resource management, reconfigurable sensor networks

Biography

Teun de Groot was a PhD student with prof. Yarovoy, working on the STARS project.

Research

Finalized my research on Mission-driven Resource Management for Reconfigurable Sensing Systems as part of the Sensor Technology Applied in Reconfigurable Systems (STARS) project. I have developed a mission-driven concept to optimally manage reconfigurable sensors at their full potential within an end-user's mission.

Projects history

Sensor Technology Applied in Reconfigurable Systems

reconfigurable sensors and sensor networks applied in the context of the security domain

  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: softwaresoftware

  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.
    documentsoftware

  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
    documentsoftware

  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. Mission-Driven Resource Management for Reconfigurable Sensing Systems
    T. H. de Groot; O. A. Krasnov; A. G. Yarovoy;
    IEEE Systems Journal,
    Volume 12, Issue 2, pp. 1531-1542, 2018. DOI: 10.1109/JSYST.2016.2599072
    document

  26. Urban Objects Classification with an Experimental Acoustic Sensor Network
    De Groot, T.H.; Woudenberg, E.; Yarovoy, A.G.;
    IEEE Sensors Journal,
    Volume 15, Issue 5, pp. 3068-3075, May 2015. doi: 10.1109/JSEN.2014.2387573.
    document

  27. Mission-driven Resource Management for Reconfigurable Sensing Systems
    De Groot, T.H.;
    PhD thesis, Delft University of Technology, Delft, January 2015. ISBN 9789461863911.
    document

  28. Gradient-based Optimization Algorithms for Networks of Reconfigurable Sensors
    de Groot, T.H.; Krasnov, O.A.; Yarovoy, A.G.;
    Control Engineering Practice,
    Volume 29, Issue 1, pp. 74-85, August 2014.
    document

  29. A 780 #x2013;950 MHz, 64 #x2013;146 #x00B5;W Power-Scalable Synchronized-Switching OOK Receiver for Wireless Event-Driven Applications
    X. Huang; P. Harpe; G. Dolmans; H. de Groot; J. R. Long;
    IEEE Journal of Solid-State Circuits,
    Volume 49, Issue 5, pp. 1135-1147, May 2014.

  30. Mission-Driven Sensor Management based on Expected-Utility and Prospect Objectives
    de Groot, T.H.; Krasnov, O.A.; Yarovoy, A.G.;
    In Proceedings of the 17th International Conference on Information Fusion (Fusion 2014), July 7 - 10, 2014, Salamanca, Spain,
    pp. 1--8, July 2014.
    document

  31. Efficient Sequential-Hierarchical Deployment Strategy for Heterogeneous Sensor Networks
    de Groot, T.H.; Krasnov, O.A.; Yarovoy, A.;
    In Proceedings of the IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (IEEE ISSNIP 2014 - Sensor Networks), April 21-24, 2014, Singapore,
    pp. 1-6, April 2014.
    document

  32. Mission-driven Resource Allocation based on Subjective Input with Extra Level of Uncertainty
    de Groot, T.H.; Krasnov, O.A.; Yarovoy, A.G.;
    In Proceedings of the 17th International Conference on Information Fusion (Fusion 2014), July 7 - 10, 2014, Salamanca, Spain,
    pp. 1--7, July 2014.
    document

  33. 9.8 An 860 #x03BC;W 2.1-to-2.7GHz all-digital PLL-based frequency modulator with a DTC-assisted snapshot TDC for WPAN (Bluetooth Smart and ZigBee) applications
    V. K. Chillara; Y. H. Liu; B. Wang; A. Ba; M. Vidojkovic; K. Philips; H. de Groot; R. B. Staszewski;
    In 2014 IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC),
    pp. 172-173, Feb 2014.

  34. Noise and Sensitivity in RF Envelope Detection Receivers
    X. Huang; G. Dolmans; H. de Groot; J. R. Long;
    IEEE Transactions on Circuits and Systems II: Express Briefs,
    Volume 60, Issue 10, pp. 637-641, Oct 2013.

  35. Mission-driven system design during runtime for reconfigurable radars and antennas
    de Groot, T.H.; Krasnov, O.A; Yarovoy, A;
    In Proceedings of the 10th European Radar Conference (EuRAD), 6 - 11 October 2013, Nuremberg, Germany,
    pp. 463-466, 2013.
    document

  36. A 915 MHz, Ultra-Low Power 2-Tone Transceiver With Enhanced Interference Resilience
    X. Huang; A. Ba; P. Harpe; G. Dolmans; H. de Groot; J. R. Long;
    IEEE Journal of Solid-State Circuits,
    Volume 47, Issue 12, pp. 3197-3207, Dec 2012.

  37. Simulator for studying resource allocation in reconfigurable multi-sensor networks
    de Groot, T.H.; Krasnov, O.A; Yarovoy, A;
    In Proceedings of the 9th European Radar Conference (EuRAD), October 31 - November 2, 2012, Amsterdam, the Netherlands,
    pp. 326-329, 2012.
    document

  38. Adaptive optimization algorithms for utility-driven resource allocation in reconfigurable multi-sensor networks
    de Groot, T.H.; Krasnov, O.A; Yarovoy, A;
    In Proceedings of the 9th European Radar Conference (EuRAD), October 31 - November 2, 2012, Amsterdam, the Netherlands,
    pp. 330-333, 2012.
    document

  39. Generic utility definition for mission-driven resource allocation
    de Groot, T.H.; Krasnov, O.A; Yarovoy, A;
    In Processing of the IET International Conference on Radar Systems (Radar 2012), 22 - 25 October 2012, Glasgow, UK,
    pp. 1-5, Oct 2012.
    document

  40. A 915MHz 120 #x03BC;W-RX/900 #x03BC;W-TX envelope-detection transceiver with 20dB in-band interference tolerance
    X. Huang; A. Ba; P. Harpe; G. Dolmans; H. De Groot; J. Long;
    In 2012 IEEE International Solid-State Circuits Conference,
    pp. 454-456, Feb 2012.

  41. 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

  42. Resource allocation challenges for reconfigurable multi-sensor networks
    De Groot, T. H.; Tigrek, R.F.; Krasnov, O.A; Huizing, A; Yarovoy, A;
    In Proceedings of the 8th European Radar Conference (EuRAD-2011), October 9-14 2011, Manchester, UK,
    pp. 142-145, 2011.
    document

  43. Nanoscale chemical imaging of the reduction behavior of a single catalyst particle
    E. Smit; I. Swart; J.F. Creemer; Karunakaran; C; Bertwistle; D; H.W. Zandbergen; F.M.F. de Groot; B.M. Weckhuysen;
    Angewandte chemie-international edition,
    pp. 3632-3635, 2009.

  44. In-situ Scanning Transmission X-ray Microscopy of catalytic materials under reaction conditions
    E. Smit; J.F. Creemer; H.W. Zandbergen; B.M. Weckhuysen; F.M.F. de Groot;
    In Proc. 14th International Conference on X-Ray Absorption Fine Structure (XAFS14),
    Camerino, Italy, pp. 1-4, 2009.

  45. Extending the limits of a capacitive soil-water-content measument (U_SP_2_I_IC_T)
    Z.Y. Chang; B.P. Iliev; G.C.M. Meijer; J.F. de Groot;
    IEEE Transactions on Instrumentation and Measurement,
    Volume 56, Issue 6, pp. 2240-2244, 2007.

  46. Extending the limits of a capacitive soil-water-content measurement
    Z.Y. Chang; B.P. Iliev; F. de Groot; G.C.M. Meijer;
    In s.n. (Ed.), IEEE, pp. 376-379, 2005. Editor onbekend JH.

BibTeX support

Last updated: 17 Feb 2015

Teun de Groot

Alumnus