ipis-mjkim/caueeg-ceednet
This repository is the official implementation of "Deep learning-based EEG analysis to classify mild cognitive impairment for early detection of dementia: algorithms and benchmarks" from the CNIR (CAU NeuroImaging Research) team.
This project offers an advanced deep learning framework, CEEDNet, designed to analyze electroencephalogram (EEG) data. It takes raw EEG recordings as input to help clinicians and researchers accurately classify mild cognitive impairment (MCI) for the early detection of dementia. The output provides a classification of the patient's cognitive status, aiding in proactive medical intervention.
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Use this if you are a neurologist, clinical researcher, or medical practitioner seeking to improve the accuracy and efficiency of early dementia diagnosis using EEG data.
Not ideal if your primary goal is to analyze non-EEG biological signals or if you require a simple, low-computational diagnostic tool without deep learning capabilities.
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May 03, 2023
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