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EGG-Binaryclassification

Analyzed EEG resting state-closed eyes recordings from 88 subjects, encompassing Alzheimer's disease (AD), Frontotemporal Dementia (FTD), and healthy controls (CN). Explored the subjects' brain waves in the frequency domain using the Welch method.

Constructed a binary classification model, designating CN as 0 and grouping FTD and AD as 1. The model achieved 0.121 Loss, and 0.9701492786407471 accuracy

dataset: https://openneuro.org/datasets/ds004504/versions/1.0.2

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