Fractal-based classification of electroencephalography (EEG) signals in healthy adolescents and adolescents with symptoms of schizophrenia

Author:

Namazi Hamidreza1,Aghasian Erfan2,Ala Tirdad Seifi3

Affiliation:

1. School of Engineering, Monash University, Selangor, Malaysia

2. School of Technology, Environments and Design, University of Tasmania, Hobart 7001, Australia

3. Hearing Sciences (Scottish Section), Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Glasgow, UK

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference55 articles.

1. Analysis of the complexity measures in the EEG of schizophrenia patients;Akar;Int J Neural Syst,2016

2. Analysis of schizophrenic EEG synchrony using empirical mode decomposition;Ziqiang;2007 15th International Conference on Digital Signal Processing,2007

3. Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes;Dvey-Aharon;PLOS ONE,2017

4. Electroencephalographic delta/alpha frequency activity differentiates psychotic disorders: A study of schizophrenia, bipolar disorder and methamphetamine-induced psychotic disorder;Howells;Transl Psychiatry,2018

5. Analysis of EEG structural synchrony in adolescents with schizophrenic disorders;Borisov;Human Physiology,2005

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