Th.1.6.5
A Continuous Learning Framework for EEG Epilepsy Detection Based on Controllable Continual Backpropagation
Shuo Zhou, Guanglong Zhang, Jinjie Guo, Guixia Kang, Beijing University of Posts and Telecommunications
Session:
Th.1.6: Neural Signal Processing III Oral
Track:
Neural and Rehabilitation Engineering
Location:
Room 801A
Presentation Time:
Thursday, 30 July, 09:30 - 09:45
Session Co-Chairs:
Valeria Sacca and Chichi Chang
Presentation
Discussion
Resources
No resources available.
Session Th.1.6
Th.1.6.1: BRIDGING THE CLINICAL-WEARABLE GAP: RANDOMIZED CHANNEL PRE-TRAINING FOR SEIZURE DETECTION
Giovanni Lo Bianco, Corentin Ambroise, Manon Pendelio-Boyer, Oscar Gloaguen, François Baudouin, Laurent Ribière, Stanislas Chambon, Reliev Technologies
Th.1.6.2: A Novel Phrenic Motor Neuron Model Based on Piecewise-Constant Vector Field and its Efficient Software and Hardware Implementations
Atsuya Kurose, Hiroyuki Torikai, Hosei University
Th.1.6.3: A DUAL-COMPONENT EPILEPTIC EEG MODEL COUPLING FAST ICTAL ACTIVITY AND SPIKE-WAVE DISCHARGES
Feng Zhang, Tianjin University; Meili Lu, Tianjin University of Technology and Education; Xile Wei, Tianjin University
Th.1.6.4: APICE-Py: An Open-Source MNE-Python Pipeline for Scalable EEG Preprocessing
Nicolò Formento Moletta, Neuroimaging of Development, Cognitive Neuroimaging Unit; Ana Fló, University of Padua; Ghislaine Dehaene-Lambertz, Jhunlyn Lorenzo, Neuroimaging of Development, Cognitive Neuroimaging Unit
Th.1.6.5: A Continuous Learning Framework for EEG Epilepsy Detection Based on Controllable Continual Backpropagation
Shuo Zhou, Guanglong Zhang, Jinjie Guo, Guixia Kang, Beijing University of Posts and Telecommunications
Th.1.6.6: EVALUATION OF GRAPH-BASED MULTIVARIATE MULTISCALE DISPERSION ENTROPY FOR RESTING-STATE EEG CHARACTERISATION OF MCI AND DEMENTIA
Mei-San Maggie Lei, Javier Escudero, University of Edinburgh
Resources
No resources available.