You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

Feature study of hysterical blindness EEG based on FastICA with combined-channel information

Issue title: Papers from the 3rd International Conference on Biomedical Engineering and Technology (iCBEB 2014), 25–28 September 2014, Beijing, China

Subtitle:

Guest editors: Edward J. Ciaccio

Article type: Research Article

Authors: Qin, Xuying | Wang, Wei* | Hu, Lintao | Wang, Xu | Yuan, Xiaojie

Affiliations: Institute of Biomedical Engineering, School of Science and Information, Lanzhou University, Lanzhou, Gansu, China

Correspondence: [*] Corresponding author: Wei Wang, Institute of Biomedical Engineering, School of Science and Information, Lanzhou University, South Tianshui Road 222, Lanzhou 730000, Gansu, China. Tel.: +86 139 1925 3607; Fax: +86 0931 891 2778; E-mail:wangw@lzu.edu.cn

Keywords: Hysterical blindness EEG, combined-channel, kurtosis feature, FastICA

DOI: 10.3233/THC-150969

Journal: Technology and Health Care, vol. 23, no. s2, pp. S325-S333, 2015

Published: 2015
Get PDF open access

Abstract

BACKGROUND: An appropriate feature study of hysteria electroencephalograms (EEG) would provide new insights into neural mechanisms of the disease, and also make improvements in patient diagnosis and management.

OBJECTIVE: The objective of this paper is to provide an explanation for what causes a particular visual loss, by associating the features of hysterical blindness EEG with brain function.

METHODS: An idea for the novel feature extraction for hysterical blindness EEG, utilizing combined-channel information, was applied in this paper. After channels had been combined, the sliding-window-FastICA was applied to process the combined normal EEG and hysteria EEG, respectively. Kurtosis features were calculated from the processed signals. As the comparison feature, the power spectral density of normal and hysteria EEG were computed.

RESULTS: According to the feature analysis results, a region of brain dysfunction was located at the occipital lobe, O1 and O2. Furthermore, new abnormality was found at the parietal lobe, C3, C4, P3, and P4, that provided us with a new perspective for understanding hysterical blindness.

CONCLUSIONS: Indicated by the kurtosis results which were consistent with brain function and the clinical diagnosis, our method was found to be a useful tool to capture features in hysterical blindness EEG.

Show more