國立虎尾科技大學 |

Computational Intelligence Techniques in Diagnosis of Brain Diseases

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational Intelligence Techniques in Diagnosis of Brain Diseases/ by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao.
Author:	Gurumoorthy, Sasikumar.
other author:	Muppalaneni, Naresh Babu.
Description:	XI, 70 p. 35 illus., 7 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-10-6529-3
ISBN:	9789811065293

Computational Intelligence Techniques in Diagnosis of Brain Diseases
Gurumoorthy, Sasikumar.

Computational Intelligence Techniques in Diagnosis of Brain Diseases[electronic resource] /by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao. - 1st ed. 2018. - XI, 70 p. 35 illus., 7 illus. in color.online resource. - SpringerBriefs in Forensic and Medical Bioinformatics,2196-8845. - SpringerBriefs in Forensic and Medical Bioinformatics,.

1.Introduction -- 2.Analysis of Electroencephalogram (EEG) using ANN -- 3.Classification and Analysis of EEG using SVM and MRE -- 4.Intelligent Technique to Identify Epilepsy Captures Using Fuzzy System -- 5.Analysis of EEG to find Alzheimer’s disease using Intelligent Techniques.

This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or “brain waves” to communicate between humans and computers – an area that can be extended for use in this domain.

ISBN: 9789811065293

Standard No.: 10.1007/978-981-10-6529-3doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational Intelligence Techniques in Diagnosis of Brain Diseases
LDR:02287nam a22003975i 4500 001 999217
003 DE-He213
005 20200705133138.0
007 cr nn 008mamaa
008 201225s2018 si | s |||| 0|eng d
020 $a 9789811065293 $9 978-981-10-6529-3
024 7 $a 10.1007/978-981-10-6529-3 $2 doi
035 $a 978-981-10-6529-3
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Gurumoorthy, Sasikumar. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1281807
245 1 0 $a Computational Intelligence Techniques in Diagnosis of Brain Diseases $h [electronic resource] / $c by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao.
250 $a 1st ed. 2018.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a XI, 70 p. 35 illus., 7 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Forensic and Medical Bioinformatics, $x 2196-8845
505 0 $a 1.Introduction -- 2.Analysis of Electroencephalogram (EEG) using ANN -- 3.Classification and Analysis of EEG using SVM and MRE -- 4.Intelligent Technique to Identify Epilepsy Captures Using Fuzzy System -- 5.Analysis of EEG to find Alzheimer’s disease using Intelligent Techniques.
520 $a This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or “brain waves” to communicate between humans and computers – an area that can be extended for use in this domain.
650 0 $a Computational intelligence. $3 568984
650 0 $a Neurology . $3 1253459
650 0 $a Biomedical engineering. $3 588770
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Bioinformatics. $3 583857
650 0 $a User interfaces (Computer systems). $3 1253526
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Neurology. $3 593894
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Computational Biology/Bioinformatics. $3 677363
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
700 1 $a Muppalaneni, Naresh Babu. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1064227
700 1 $a Gao, Xiao-Zhi. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1062279
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811065286
776 0 8 $i Printed edition: $z 9789811065309
830 0 $a SpringerBriefs in Forensic and Medical Bioinformatics, $x 2196-8845 $3 1264703
856 4 0 $u https://doi.org/10.1007/978-981-10-6529-3
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)