Computational Intelligence Techniques in Diagnosis of Brain Diseases (Record no. 80775)
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000 -LEADER | |
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fixed length control field | 03446nam a22006375i 4500 |
001 - CONTROL NUMBER | |
control field | 978-981-10-6529-3 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801222438.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170906s2018 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789811065293 |
-- | 978-981-10-6529-3 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Gurumoorthy, Sasikumar. |
245 10 - TITLE STATEMENT | |
Title | Computational Intelligence Techniques in Diagnosis of Brain Diseases |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2018. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XI, 70 p. 35 illus., 7 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Forensic and Medical Bioinformatics, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Muppalaneni, Naresh Babu. |
700 1# - AUTHOR 2 | |
Author 2 | Gao, Xiao-Zhi. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-981-10-6529-3 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Singapore : |
-- | Springer Nature Singapore : |
-- | Imprint: Springer, |
-- | 2018. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Neurology . |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal processing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Bioinformatics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | User interfaces (Computer systems). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Human-computer interaction. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Neurology. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical Engineering and Bioengineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Speech and Image Processing . |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational and Systems Biology. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | User Interfaces and Human Computer Interaction. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2196-8853 |
912 ## - | |
-- | ZDB-2-ENG |
912 ## - | |
-- | ZDB-2-SXE |
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