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Eeg-based motor imagery classification using digraph fourier transforms and extreme learning machines / (Record no. 79290)

MARC details
000 -LEADER
fixed length control field 02344cam a2200349 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032646.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201222s2020 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.03.M.Sc.2020.Mo.E
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Mohamed Hamed Ahmed Mahmoud Said
245 10 - TITLE STATEMENT
Title Eeg-based motor imagery classification using digraph fourier transforms and extreme learning machines /
Statement of responsibility, etc. Mohamed Hamed Ahmed Mahmoud Said ; Supervised Ayman M. Eldeib , Mahmoud H. Annaby , Muhammad A. Rushdi
246 15 - VARYING FORM OF TITLE
Title proper/short title تصنيف أنماط التصور الحركى المبنى على إشارات المخ باستخدام تحويلات فورييه للمخططات وآلات التعلم الفائق
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Mohamed Hamed Ahmed Mahmoud Said ,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 91 P . :
Other physical details charts , facsmilies ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520 ## - SUMMARY, ETC.
Summary, etc. Brain-computer interface (BCI) systems have been widely proposed for rehabilitation and neural control of external devices. This thesis proposes a classification method for BCI EEG signals associated with motor imagery patterns. The proposed method uses a graph Fourier transform based on a symmetric graph Laplacian for directed and undirected graph models of multi-channel EEG signals. This method shows superior performance compared to other methods. Experiments were conducted using extreme learning machines (ELM) on the dataset Ia of BCI Competition 2003. The directed and undirected graph models resulted in accuracies of 96.58% and 95.9%, respectively. This work can be extended to larger BCI multi-channel EEG classification problems. For these problems, additional vertex-domain graph features and graph transform features can be considered to reveal hidden network patterns
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term EEG
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Extreme learning machines
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Motor imagery
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ayman M. Eldeib ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mahmoud H. Annaby ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Muhammad A. Rushdi ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Amira
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.03.M.Sc.2020.Mo.E 01010110082361000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.03.M.Sc.2020.Mo.E 01020110082361000 22.09.2023 CD - Rom 82361.CD