Estimation of an EEG highest predictive channel for mental tasks
Joint Authors
Khidr, Abd al-Sattar M.
Faris, Diya M.
Najib, Shayma Miqdad Muhammad
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 21, Issue 4 (31 Dec. 2013), pp.1263-1269, 7 p.
Publisher
Publication Date
2013-12-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Topics
Abstract AR
يقوم البحث باقتراح طريقة لتقدير القناة التنبؤية الأعلى للإشارة الدماغية EEG للمهام الذهنية (الحساب, الراحة, تمييز الحروف) عن طريق حساب طاقة مصفوفة الفصل (w) الناتجة عن تطبيق خوارزمية التحليل السريع للمركبات غير المعتمدة (FASTICA) استخدمت بدون معالجة أخرى.
Abstract EN
This paper proposed a way for estimating the highest predictive EEG channel for mental tasks (mathematics, relax and character recognition).
The energy of un-mixing matrix (W) that is evaluated by applying Fast Independent Component Analysis FASTICA algorithm is used with no further processing.
The highest predictive channel that discriminate between mental tasks for the same conditions is obtained.
A 100 % prediction of the mental task is obtained when using these channels.
American Psychological Association (APA)
Khidr, Abd al-Sattar M.& Faris, Diya M.& Najib, Shayma Miqdad Muhammad. 2013. Estimation of an EEG highest predictive channel for mental tasks. Journal of University of Babylon for Engineering Sciences،Vol. 21, no. 4, pp.1263-1269.
https://search.emarefa.net/detail/BIM-341504
Modern Language Association (MLA)
Khidr, Abd al-Sattar M.…[et al.]. Estimation of an EEG highest predictive channel for mental tasks. Journal of University of Babylon for Engineering Sciences Vol. 21, no. 4 (2013), pp.1263-1269.
https://search.emarefa.net/detail/BIM-341504
American Medical Association (AMA)
Khidr, Abd al-Sattar M.& Faris, Diya M.& Najib, Shayma Miqdad Muhammad. Estimation of an EEG highest predictive channel for mental tasks. Journal of University of Babylon for Engineering Sciences. 2013. Vol. 21, no. 4, pp.1263-1269.
https://search.emarefa.net/detail/BIM-341504
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1268-1269
Record ID
BIM-341504
