EEG signal analysis and classification: techniques and applications (Record no. 61524)

MARC details
000 -LEADER
fixed length control field 02247 a2200241 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250109b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319476520
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 530.82 SIU
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Siuly, Siuly
245 ## - TITLE STATEMENT
Title EEG signal analysis and classification: techniques and applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cham, Switzerland:
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 256p.:
Other physical details ill.; hbk.:
Dimensions 24 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Health Information Science (HIS)
520 ## - SUMMARY, ETC.
Summary, etc This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. <br/><br/><br/>Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. <br/>Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developedmethodologies that have been tested on several real-time benchmark databases.<br/><br/><br/>This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals.<br/><br/>https://link.springer.com/book/10.1007/978-3-319-47653-7
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image and Speech Processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Signal
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Health Informatics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical Engineering and Bioengineering
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Li, Yan
Relator term Co-author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Yanchun
Relator term Co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 08/01/2025 Kushal Books 12334.52 2 530.82 SIU 034967 03/06/2025 05/05/2025 1 12334.52 Books


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