SpringerBriefs in Applied Sciences and Technology
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SpringerBriefs in Applied Sciences and Technology
Gurumoorthy, Sasikumar; Muppalaneni, Naresh Babu; Gao, Xiao-Zhi
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.
Details
Published by: Springer
Publication Date: 2017-09-14
Format: Paperback
ISBN-13: 9789811065286
DOI: 10.1007/978-981-10-6529-3
Dimensions: 235cm x155cm
Pages: 70