Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases

In this study, we propose the phase space reconstruction (PSR)-based deep learning framework for enhanced detection of frontotemporal dementia (FTD) utilizing electroen-cephalography (EEG). Our experimental results demonstrate significant improvements over conventional screening methods, particularl...

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Bibliographic Details

Published in:	The ... International Winter Conference on Brain-Computer Interface pp. 1 - 5
Main Authors:	Park, Dogeun, Kim, Ho-Jung, Ju, Young-Gi, Kim, Keun-Tae, Wont, Dong-Ok
Format:	Conference Proceeding
Language:	English
Published:	IEEE 24.02.2025
Subjects:	Accuracy Brain-computer interfaces Deep learning Dementia EEG Electroencephalography false- negative frontotemporal dementia MMSE Neurological diseases phase-space reconstruction Protocols Reliability
ISSN:	2572-7672
Online Access:	Get full text
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