Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features
BackgroundAlzheimer’s disease (AD) is the most common neurogenerative disorder, making up 70% of total dementia cases with a prevalence of more than 55 million people. Electroencephalogram (EEG) has become a suitable, accurate, and highly sensitive biomarker for the identification and diagnosis of A...
| Автори: | , , , , , , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Frontiers Media S.A.
2023-11-01
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| Серія: | Frontiers in Aging Neuroscience |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1288295/full |