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Article

Generalizable electroencephalographic classification of Parkinson’s Disease using deep learning

2022-09-01

Abstract excerpt

There is growing interest in using electroencephalography (EEG) and deep learning (DL) to aid in the diagnosis of neurological conditions like Parkinson’s Disease (PD). Many existing DL approaches to classify PD from EEG data cite performance metrics in the high 90% accuracies, but may be grossly overestimating their real-word capabilities due to information-leakage between training and testing data. Our aim was t...

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Literature Corpus work
ca807917-5848-5cd8-8113-66817949bbac
DOI
10.1101/2022.08.30.22279401
Open publication

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Generalizable electroencephalographic classification of Parkinson’s Disease using deep learningDOI 10.1101/2022.08.30.22279401
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