| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
493714057 Druckausg.: ‡Gurumoorthy, Sasikumar: Computational intelligence techniques in diagnosis of brain diseases |
| ISBN |
978-981-10-6528-6 |
| Name |
Gurumoorthy, Sasikumar |
| Muppalaneni, Naresh Babu ¬[VerfasserIn]¬ |
| Name ANZEIGE DER KETTE |
Muppalaneni, Naresh Babu ¬[VerfasserIn]¬ |
| Name |
Gao, Xiao-Zhi ¬[VerfasserIn]¬ |
| T I T E L |
Computational Intelligence Techniques in Diagnosis of Brain Diseases |
| Verlagsort |
Singapore |
| Verlag |
Springer |
| Erscheinungsjahr |
2018 |
| 2018 |
| Umfang |
Online-Ressource (XI, 70 p. 35 illus., 7 illus. in color, online resource) |
| Reihe |
SpringerBriefs in Applied Sciences and Technology |
| Titelhinweis |
Druckausg.: ‡Gurumoorthy, Sasikumar: Computational intelligence techniques in diagnosis of brain diseases |
| Printed editionISBN: 978-981-10-6528-6 |
| ISBN |
ISBN 978-981-10-6529-3 |
| Klassifikation |
COM004000 |
| UYQ |
| TEC009000 |
| 006.3 |
| Q342 |
| Kurzbeschreibung |
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 |
| 2. Kurzbeschreibung |
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 |
| 1. Schlagwortkette |
Hirnkrankheit |
| Diagnostik |
| Elektroencephalographie |
| Epilepsie |
| Alzheimerkrankheit |
| Maschinelles Lernen |
| Fuzzy-logisches Schließen |
| Biomedizinische Technik |
| ANZEIGE DER KETTE |
Hirnkrankheit -- Diagnostik -- Elektroencephalographie -- Epilepsie -- Alzheimerkrankheit -- Maschinelles Lernen -- Fuzzy-logisches Schließen -- Biomedizinische Technik |
| SWB-Titel-Idn |
494008121 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-981-10-6529-3 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Cover |
