[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 8, Issue 3 (Shenakht Journal of Psychology and Psychiatry 2021) ::
Shenakht Journal of Psychology and Psychiatry 2021, 8(3): 101-115 Back to browse issues page
Comparing the discrepancy between mutual information of electroencephalogram electrodes in schizophrenia: a classification problem
Atefeh Goshvarpour , Ateke Goshvarpour
Assistant Professor, Department of Biomedical Engineering, Imam Reza International University, Mashhad, Razavi Khorasan, Iran
Abstract:   (390 Views)
Introduction: Evaluation of the electroencephalogram of schizophrenic patients has been the subject of many recent studies. However, accurate diagnosis of schizophrenia using the electroencephalogram is still a challenging issue.
Aim: This paper was aimed to investigate the information discrepancy between one brain channel and other electrodes in two groups of schizophrenic patients and healthy individuals. Furthermore, the capability of the extracted features in the problem of classification of the two groups was investigated.
Method: In the present analytic observational study, 19 channels of the electroencephalogram of 14 patients with schizophrenia (7 males with an average age of 27.9 ± 3.3 years and 7 females with a mean age of 28.3 ± 4.1 years), who were hospitalized at the Institute of Psychiatry and Neurologists in Warsaw, Poland, were used. In addition, data from 14 healthy individuals (7 males and 7 females with an average age of 26.8 ± 2.9 and 28.7 ± 3.4 years, respectively) were analyzed as a control group. Cross information potential and Cauchy-Schwartz mutual information between each electroencephalogram electrode and all the other electrodes were calculated. Using two strategies, the performance of the support vector machine was evaluated: (1) the mutual information of an electroencephalogram channel with other channels, and (2) the combination of the mutual information of all brain channels.
Results: The results showed that using mutual information between electroencephalogram channels, the diagnosis accuracy increases up to 100%. For both indices, the mutual information between O2 and the other channels provided the highest classification performance.
Conclusion: These results nominated the proposed system as a superior one compared to the state-of-the-art electroencephalogram schizophrenia diagnosis tools.
Keywords: Electroencephalography, Schizophrenia, Information theory, Classification
Full-Text [PDF 1121 kb]   (161 Downloads)    
Type of Study: Research | Subject: Special
Received: 2021/04/9 | Accepted: 2021/06/13 | Published: 2021/07/31
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Goshvarpour A, Goshvarpour A. Comparing the discrepancy between mutual information of electroencephalogram electrodes in schizophrenia: a classification problem. Shenakht Journal of Psychology and Psychiatry. 2021; 8 (3) :101-115
URL: http://shenakht.muk.ac.ir/article-1-1137-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 8, Issue 3 (Shenakht Journal of Psychology and Psychiatry 2021) Back to browse issues page
فصلنامه علمی پژوهشی شناخت Shenakht journal of psychology & psychiatry
Persian site map - English site map - Created in 0.06 seconds with 30 queries by YEKTAWEB 4341