Computational Intelligence Techniques in Diagnosis of Brain Diseases

£44.99

Computational Intelligence Techniques in Diagnosis of Brain Diseases

Neurology and clinical neurophysiology Biomedical engineering Computational biology / bioinformatics Electronics engineering Artificial intelligence Digital signal processing (DSP) Human–computer interaction

Authors: Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao

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Collection: SpringerBriefs in Applied Sciences and Technology

Language: English

Published by: Springer

Published on: 5th September 2017

Format: LCP-protected ePub

Size: 1 Mb

ISBN: 9789811065293


Overview

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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