Hanie Moghaddasi

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. 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

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.
   document

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.
   document

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.
   document

BibTeX support