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Computational Intelligence Techniques in Diagnosis of Brain Diseases (SpringerBriefs in Applied Sciences and Technology) (PDF)

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Product Title: Computational Intelligence Techniques in Diagnosis of Brain Diseases (SpringerBriefs in Applied Sciences and Technology) (PDF)

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Overview (Details, Topics and Speakers):

by Sasikumar Gurumoorthy (Author), Naresh Babu Muppalaneni (Author), Xiao-Zhi Gao (Author)

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.

 

Product Details

  • Series: SpringerBriefs in Applied Sciences and Technology
  • Paperback: 70 pages
  • Publisher: Springer; 1st ed. 2018 edition (October 5, 2017)
  • Language: English
  • ISBN-10: 9811065284
  • ISBN-13: 978-9811065286
  • Product Dimensions: 6.1 x 0.2 x 9.2 inches

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the Computational Intelligence Techniques in Diagnosis of Brain Diseases (SpringerBriefs in Applied Sciences and Technology) (PDF) course/book will be provided for customer as download link. download link has NO Expiry and can be used anytime.

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