MSc H. Moghaddasi

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (Jun 2024): Model-based feature engineering of atrial fibrillation
Promotor: Borbála Hunyadi, Alle-Jan van der Veen, Natasja de Groot

Expertise: Cardiac imaging

Themes: Biomedical signal processing/wavefield imaging


Hanie Moghaddasi was a PhD student at SPS, working with Borbala Hunyadi on the Medical Delta Cardiac Arrhythmia Lab. Before coming to Delft, she received her BSc and MSc degree from Amirkabir University of Technology, Tehran, Iran. 

She obtained the PhD degree on 18 June 2024. She currently is a postdoc at the University of Oxford.

Medical Delta Cardiac Arrhythmia Lab

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

  1. A Singular-value-based Map to Highlight Abnormal Regions Associated with Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG
    Hanie Moghaddasi; Richard C. Hendriks; Borbála Hunyadi; Paul Knops and Mathijs S van Schie and Natasja M.S. de Groot and Alle-Jan van der Veen;
    IEEE Transactions on Biomedical Engineering,

  2. 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

  3. 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.

  4. 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.

  5. 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.

BibTeX support

Last updated: 21 Jun 2024

Hanie Moghaddasi