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EEG-Based Brain-Computer Interfaces: Cognitive Analysis and Control Applications
Rating: 4.5 / 5
Categories: Books > Engineering & Transportation > Engineering > Bioengineering > Biomedical Engineering
ASIN: B07PNM21LY
Categories: Books > Engineering & Transportation > Engineering > Bioengineering > Biomedical Engineering
ASIN: B07PNM21LY
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EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for control applications, along with the EEG-related advances in BCI. The research and techniques in this book discuss time and frequency domain analysis on deliberate eye-blinking data as the basis for EEG-triggering control applications. In addition, the book provides experimental scenarios and features algorithms for acquiring real-time EEG signals using commercially available units that interface with MATLAB software for acquisition and control.
- Details techniques for multiple types of analysis (including ERP, scalp map, sub-band power and independent component) to acquire data from deliberate eye-blinking
- Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios
- Includes algorithms and scenarios that interface with MATLAB software for interactive use
ASIN : B07PNM21LY
Publisher : Academic Press
Accessibility : Learn more
Publication date : March 14, 2019
Edition : 1st
Language : English
File size : 47.7 MB
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 201 pages
ISBN-13 : 978-0128146880
Page Flip : Enabled
Best Sellers Rank: #620 in Biomedical Engineering #1,144 in Biotechnology (Books)
Customer Reviews: 3.9 3.9 out of 5 stars (4) var dpAcrHasRegisteredArcLinkClickAction; P.when('A', 'ready').execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( 'acrLink-click-metrics', 'click', { "allowLinkDefault": true }, function (event) { if (window.ue) { ue.count("acrLinkClickCount", (ue.count("acrLinkClickCount") || 0) + 1); } } ); } }); P.when('A', 'cf').execute(function(A) { A.declarative('acrStarsLink-click-metrics', 'click', { "allowLinkDefault" : true }, function(event){ if(window.ue) { ue.count("acrStarsLinkWithPopoverClickCount", (ue.count("acrStarsLinkWithPopoverClickCount") || 0) + 1); } }); });
- Details techniques for multiple types of analysis (including ERP, scalp map, sub-band power and independent component) to acquire data from deliberate eye-blinking
- Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios
- Includes algorithms and scenarios that interface with MATLAB software for interactive use
ASIN : B07PNM21LY
Publisher : Academic Press
Accessibility : Learn more
Publication date : March 14, 2019
Edition : 1st
Language : English
File size : 47.7 MB
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 201 pages
ISBN-13 : 978-0128146880
Page Flip : Enabled
Best Sellers Rank: #620 in Biomedical Engineering #1,144 in Biotechnology (Books)
Customer Reviews: 3.9 3.9 out of 5 stars (4) var dpAcrHasRegisteredArcLinkClickAction; P.when('A', 'ready').execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( 'acrLink-click-metrics', 'click', { "allowLinkDefault": true }, function (event) { if (window.ue) { ue.count("acrLinkClickCount", (ue.count("acrLinkClickCount") || 0) + 1); } } ); } }); P.when('A', 'cf').execute(function(A) { A.declarative('acrStarsLink-click-metrics', 'click', { "allowLinkDefault" : true }, function(event){ if(window.ue) { ue.count("acrStarsLinkWithPopoverClickCount", (ue.count("acrStarsLinkWithPopoverClickCount") || 0) + 1); } }); });
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