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Computational Intelligence Techniques in Diagnosis of Brain Diseases / by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao.

By: Gurumoorthy, Sasikumar, autor
Contributor(s): M., Naresh Babu (Muppalaneni) | Gao, Xiao-Zhi, autor | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in Forensic and Medical Bioinformatics, 2196-8845); (Engineering (Springer-11647)).Publisher: Singapore : Springer International Publishing, 2018Description: 1 recurso en línea (XI, 70 páginas 35 ilustraciones, 7 ilustraciones a color.).ISBN: 9789811065293.Subject: Inteligencia artificial | Neurología | Ingeniería biomédicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q342 .G878 2018 EB (Browse shelf(Opens below)) Acceso electrónico eBook.15112588
Total holds: 0

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.

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