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{ "item_title" : "Advanced Electroencephalography Analytical Methods", "item_author" : [" Ganesh Naik", "Wellington Pinheiro Dos Santos", "Gaetano Gargiulo "], "item_description" : "Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience.This book: Includes a comprehensive review on biomedical signals nature and acquisition aspects Focuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areas Provides a machine learning update to a classical biomedical signal processing approach Explains deep learning and application to biomedical signal processing and analysis Explores relevant biomedical engineering and neuroscience state-of-the-art applications This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/03/217/170/1032171707_b.jpg", "price_data" : { "retail_price" : "140.00", "online_price" : "140.00", "our_price" : "140.00", "club_price" : "140.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advanced Electroencephalography Analytical Methods|Ganesh Naik

Advanced Electroencephalography Analytical Methods : Fundamentals, Acquisition, and Applications

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Overview

Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience.

This book:

  • Includes a comprehensive review on biomedical signals nature and acquisition aspects
  • Focuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areas
  • Provides a machine learning update to a classical biomedical signal processing approach
  • Explains deep learning and application to biomedical signal processing and analysis
  • Explores relevant biomedical engineering and neuroscience state-of-the-art applications

This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science.

This item is Non-Returnable

Details

  • ISBN-13: 9781032171708
  • ISBN-10: 1032171707
  • Publisher: CRC Press
  • Publish Date: December 2024
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.27 pounds
  • Page Count: 268

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