Automated diagnosis of mild cognitive impairment through connectivity analysis of EEG signals and a DL scheme
Abstract There is a hypothesis that deep learning (DL) can enhance the accuracy of diagnosing Alzheimer’s disease (AD) through effectively classifying EEGs from people with AD, mild cognitive impairment (MCI), or healthy aging. To investigate the hypothesis, a new signal processing technique was uti...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Journal of Engineering and Applied Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44147-025-00674-0 |
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