International Internal Medicine Journal(IIMJ)

Universidade de Aveiro, Portugal

Publications

• Research Article   
  Evaluating EEG-Based Parameters for Bipolar Disorder Diagnosis Using a Synthetic Dataset
  Author(s): Richard Murdoch Mongomery*
  
  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%, demonstrating strong potential for EEG-based diagnostics. However, challenges such as standardization of electrode configurations and addressing equipment differences are crucial for broader applicability and validity of the findings in diverse clinical settings... Read More»
  

  Abstract HTML PDF