Computational Intelligence Techniques in Diagnosis of Brain Diseases

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 efficien...

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Bibliographic Details
Main Authors: Gurumoorthy, Sasikumar (Author), Muppalaneni, Naresh Babu (Author), Gao, Xiao-Zhi (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:SpringerBriefs in Forensic and Medical Bioinformatics,
Subjects:
Computational intelligence.
Neurology .
Biomedical engineering.
Signal processing.
Bioinformatics.
User interfaces (Computer systems).
Human-computer interaction.
Computational Intelligence.
Neurology.
Biomedical Engineering and Bioengineering.
Signal, Speech and Image Processing.
Computational and Systems Biology.
User Interfaces and Human Computer Interaction.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XI, 70 p. 35 illus., 7 illus. in color. online resource.
ISBN:9789811065293
ISSN:2196-8853
DOI:10.1007/978-981-10-6529-3

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