Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters

Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters

<b>Background:</b> Despite the prevalence and severity of bipolar disorder (BD), current diagnostic approaches remain largely subjective. This study presents an automatic diagnostic framework using electroencephalography (EEG)-derived Hjorth parameters (activity, mobility, and complexity...

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Bibliographic Details
Main Authors: Mehrnaz Saghab Torbati, Ahmad Zandbagleh, Mohammad Reza Daliri, Amirmasoud Ahmadi, Reza Rostami, Reza Kazemi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
bipolar disorder
computer-aided diagnosis
EEG
explainable AI
Hjorth parameters
neurophysiological markers
Online Access:https://www.mdpi.com/2075-4418/15/3/316
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