Article

Evaluating EEG-Based Parameters for Bipolar Disorder Diagnosis Using a Synthetic Dataset

2024-07-08

Abstract excerpt

This study explores the efficacy of using EEG-based parameters to diagnose bipolar disorder. A synthetic dataset was generated, including both correctly diagnosed and misdiagnosed cases, simulating realistic clinical conditions. EEG features such as theta-alpha mean, beta band mean, and coherence measures were used to train a multi-layer perceptron (MLP) model. The model achieved a validation accuracy of 92%, demo...

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Literature Corpus work: 89a4c7f7-c088-5328-ba32-454993e4481d
DOI: 10.20944/preprints202407.0633.v1

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