EEG SIGNAL ANALYSIS FOR CLASSIFYING ALZHEIMER’S AND FRONTOTEMPORAL DEMENTIA DISORDERS USING ENSEMBLE METHODS
Accurate identification of neurodegenerative disorders, including Alzheimer’s Disease (AD) and Frontotemporal Dementia (FTD), is crucial for prompt medical intervention. This research introduces an EEG-based ensemble classification framework aimed at differentiating between AD, FTD, and Cognitively...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
XLESCIENCE
2025-06-01
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| Series: | International Journal of Advances in Signal and Image Sciences |
| Subjects: | |
| Online Access: | https://xlescience.org/index.php/IJASIS/article/view/279 |
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