Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques

Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques

Abstract This study aims to deepen the understanding and classification of tinnitus through a comprehensive analysis of EEG signals utilizing innovative microstate analysis techniques and cutting-edge machine learning approaches. EEG data were collected from two datasets: a primary dataset with 36 p...

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Bibliographic Details
Main Authors: Zahra Raeisi, Abolfazl Sodagartojgi, Fahimeh Sharafkhani, Amirsadegh Roshanzamir, Hossein Najafzadeh, Omid Bashiri, Alireza Golkarieh
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Tinnitus
EEG microstates
Deep learning
Classification
Online Access:https://doi.org/10.1038/s41598-025-01129-5
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