Computational Intelligence Techniques in Diagnosis of Brain Diseases [electronic resource] /
By: Gurumoorthy, Sasikumar [author.].
Contributor(s): Muppalaneni, Naresh Babu [author.] | Gao, Xiao-Zhi [author.] | SpringerLink (Online service).
Series: SpringerBriefs in Forensic and Medical Bioinformatics: Publisher: Singapore : Springer Singapore : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XI, 70 p. 35 illus., 7 illus. in color. | Binding - Card Paper |.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811065293.Subject(s): Computer Engineering
| Computational Intelligence | Neurology | Biomedical Engineering and Bioengineering | Computational Biology/Bioinformatics | User Interfaces and Human Computer InteractionDDC classification: 006.3 Online resources: Click here to access eBook in Springer Nature platform. (Within Campus only.)
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Springer Nature eBookSummary: 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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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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