Abstract
The prospect of future treatment warrants the development of cost-effective screening for Alzheimer's disease (AD). A promising candidate in this regard is electroencephalography (EEG), as it is one of the most economic imaging modalities. Recent efforts in EEG analysis have shifted towards leveraging spatial information, employing novel frameworks such as graph signal processing or graph neural networks. Here, we investigate the importance of spatial information relative to spectral or temporal information by varying the proportion of each dimension for AD classification. To do so, we systematically test various dimension resolution configurations on two routine EEG datasets. Our findings show that spatial information is more important than temporal information and equally valuable as spectral information. On the larger second dataset, substituting spectral with spatial information even led to an increase of 1.1% in accuracy, which emphasises the importance of spatial information for EEG-based AD classification. We argue that our resolution-based feature extraction has the potential to improve AD classification specifically, and multivariate signal classification generally.Clinical relevance - This study proposes balancing the spectral, temporal and spatial feature resolution to improve EEGbased diagnosis of neurodegenerative diseases.
| Original language | English |
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| Title of host publication | 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 4 |
| ISBN (Electronic) | 979-8-3503-7149-9 |
| ISBN (Print) | 979-8-3503-7150-5 |
| DOIs | |
| Publication status | E-pub ahead of print - 17 Dec 2024 |
| Event | 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Orlando, United States Duration: 15 Jul 2024 → 19 Jul 2024 https://embc.embs.org/2024/ |
Publication series
| Name | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2375-7477 |
| ISSN (Electronic) | 2694-0604 |
Conference
| Conference | 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
|---|---|
| Abbreviated title | IEEE EMBC 2024 |
| Country/Territory | United States |
| City | Orlando |
| Period | 15/07/24 → 19/07/24 |
| Internet address |
Bibliographical note
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