Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals
Schizophrenia is a brain disorder that disrupts behavioral and cognitive manifestations such as thinking, perception and speech. Early diagnosis of schizophrenia plays an important role in treating and limiting the effects of the disease. An automated diagnosis system for schizophrenia detection thr...
Saved in:
Main Authors: | Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P |
---|---|
Format: | Article |
Language: | English |
Published: |
Bilijipub publisher
2024-06-01
|
Series: | Advances in Engineering and Intelligence Systems |
Subjects: | |
Online Access: | https://aeis.bilijipub.com/article_199134_4f1e67ca05cb9dea38f5858a18e7b6c6.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers
by: Camilo E. Valderrama, et al.
Published: (2025-02-01) -
Schizophrenia and Nicotine - A Bittersweet Psychiatric Story
by: Satrajit Ghosal, et al.
Published: (2025-01-01) -
Relation of Vitamin D levels with positive and negative symptoms of schizophrenia – A hospital based cross-sectional comparative study
by: Soumitra Ghosh, et al.
Published: (2023-09-01) -
The Effect of Adjuvant Therapy on Metabolic Syndrome in Schizophrenia Patients at Madani Hospital
by: Indah Kurnia Utami, et al.
Published: (2024-11-01) -
MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia
by: Haiyuan Wang, et al.
Published: (2025-02-01)