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Computational intelligence technique...
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Gao, Xiao-Zhi.
Computational intelligence techniques in diagnosis of brain diseases
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational intelligence techniques in diagnosis of brain diseasesby Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao.
Author:
Gurumoorthy, Sasikumar.
other author:
Muppalaneni, Naresh Babu.
Published:
Singapore :Springer Singapore :2018.
Description:
xi, 70 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
BrainDiseases
Online resource:
http://dx.doi.org/10.1007/978-981-10-6529-3
ISBN:
9789811065293$q(electronic bk.)
Computational intelligence techniques in diagnosis of brain diseases
Gurumoorthy, Sasikumar.
Computational intelligence techniques in diagnosis of brain diseases
[electronic resource] /by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao. - Singapore :Springer Singapore :2018. - xi, 70 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..
1.Introduction -- 2.Analysis of Electroencephalogram (EEG) using ANN -- 3.Classification and Analysis of EEG using SVM and MRE -- 4.Intelligent Technique to Identify Epilepsy Captures Using Fuzzy System -- 5.Analysis of EEG to find Alzheimer's disease using Intelligent Techniques.
This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or "brain waves" to communicate between humans and computers - an area that can be extended for use in this domain.
ISBN: 9789811065293$q(electronic bk.)
Standard No.: 10.1007/978-981-10-6529-3doiSubjects--Topical Terms:
649781
Brain
--Diseases
LC Class. No.: RC386.5
Dewey Class. No.: 616.80475
Computational intelligence techniques in diagnosis of brain diseases
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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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EB RC386.5 .G981 2018 2018.
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http://dx.doi.org/10.1007/978-981-10-6529-3
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