menu
{ "item_title" : "Brain-Computer Interface", "item_author" : [" Andries Engelbrecht "], "item_description" : "Brain-computer interfacing (BCI) with the use of advanced artificial intelligence identification is a rapidly growing new technology that allows a silently commanding brain to manipulate devices ranging from smartphones to advanced articulated robotic arms when physical control is not possible. BCI can be viewed as a collaboration between the brain and a device via the direct passage of electrical signals from neurons to an external system. The book provides a comprehensive summary of conventional and novel methods for processing brain signals. The chapters cover a range of topics including noninvasive and invasive signal acquisition, signal processing methods, deep learning approaches, and implementation of BCI in experimental problems.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/83/962/522/1839625228_b.jpg", "price_data" : { "retail_price" : "155.00", "online_price" : "155.00", "our_price" : "155.00", "club_price" : "155.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Brain-Computer Interface|Andries Engelbrecht

Brain-Computer Interface

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Brain-computer interfacing (BCI) with the use of advanced artificial intelligence identification is a rapidly growing new technology that allows a silently commanding brain to manipulate devices ranging from smartphones to advanced articulated robotic arms when physical control is not possible. BCI can be viewed as a collaboration between the brain and a device via the direct passage of electrical signals from neurons to an external system. The book provides a comprehensive summary of conventional and novel methods for processing brain signals. The chapters cover a range of topics including noninvasive and invasive signal acquisition, signal processing methods, deep learning approaches, and implementation of BCI in experimental problems.

This item is Non-Returnable

Details

  • ISBN-13: 9781839625220
  • ISBN-10: 1839625228
  • Publisher: Intechopen
  • Publish Date: May 2022
  • Dimensions: 9.61 x 6.69 x 0.5 inches
  • Shipping Weight: 1.14 pounds
  • Page Count: 198

Related Categories

You May Also Like...

    1

BAM Customer Reviews