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{ "item_title" : "Brain-Computer Interfaces", "item_author" : [" Ayman S. El-Baz", "Jasjit S. Suri "], "item_description" : "Advances in Neural Engineering: Brain-Computer Interfaces, Volume Two covers the broad spectrum of neural engineering subfields and applications. The set provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The book's authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including sensory and motor information, stimulation of the neuromuscular system to control muscle activation and movement, analysis and visualization of complex neural systems, and more.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/32/395/439/0323954391_b.jpg", "price_data" : { "retail_price" : "190.00", "online_price" : "190.00", "our_price" : "190.00", "club_price" : "190.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Brain-Computer Interfaces|Ayman S. El-Baz

Brain-Computer Interfaces

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Overview

Advances in Neural Engineering: Brain-Computer Interfaces, Volume Two covers the broad spectrum of neural engineering subfields and applications. The set provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The book's authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including sensory and motor information, stimulation of the neuromuscular system to control muscle activation and movement, analysis and visualization of complex neural systems, and more.

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Details

  • ISBN-13: 9780323954396
  • ISBN-10: 0323954391
  • Publisher: Academic Press
  • Publish Date: November 2024
  • Dimensions: 9.25 x 7.5 x 1 inches
  • Shipping Weight: 1.87 pounds
  • Page Count: 498

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