F-1: Advances in ECG and EEG Signal Processing (invited) |
| Session Type: Virtual |
| Time: Monday, November 01, 09:45 - 11:15 |
| Location: Room 5 |
| Virtual Session: Attend on Virtual Platform |
| Session Chair: Peter Kovacs, Eötvös Loránd University, Hungary |
| F-1.1: Color classification of visually evoked potentials by means of Hermite functions |
| Tamás Dózsa; Eötvös Loránd University |
| Carl Böck; Johannes Kepler University Linz |
| Gergő Bognár; Eötvös Loránd University |
| Jens Meier; Kepler University Hospital |
| Péter Kovács; Eötvös Loránd University |
| F-1.2: Real-time analysis of neuronal firing patterns via Hawkes processes |
| László Gerencsér; Eötvös Loránd Research Network |
| György Perczel; Pázmány Péter Catholic University |
| F-1.3: Eigenvector-based spatial ECG filtering improves QT delineation in stress test recordings |
| Cristina Pérez; University of Zaragoza |
| Alba Martín-Yebra; University of Zaragoza |
| Jari Viik; Tampere University of Technology |
| Juan Pablo Martínez; University of Zaragoza |
| Esther Pueyo; University of Zaragoza |
| Pablo Laguna; University of Zaragoza |
| F-1.4: Analysis of ECG time-frequency representations as input for deep neural networks |
| Nicolai Spicher; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| F-1.5: A novel dynamic Principal Component Analysis method, applied to ECG signals |
| Máté Baranyi; Budapest University of Technology and Economics |
| Marianna Bolla; Budapest University of Technology and Economics |
| Gyöngyi Szilágyi Kocsisné; I-QRS International Ltd. |