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Brain-machine interfaces for assista...
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Hortal, Enrique.
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Brain-machine interfaces for assistance and rehabilitation of people with reduced mobility
Record Type:
Electronic resources : Monograph/item
Title/Author:
Brain-machine interfaces for assistance and rehabilitation of people with reduced mobility/ by Enrique Hortal.
Author:
Hortal, Enrique.
Published:
Cham :Springer International Publishing : : 2019.,
Description:
xli, 79 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Brain-computer interfaces. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-95705-0
ISBN:
9783319957050
Brain-machine interfaces for assistance and rehabilitation of people with reduced mobility
Hortal, Enrique.
Brain-machine interfaces for assistance and rehabilitation of people with reduced mobility
[electronic resource] /by Enrique Hortal. - Cham :Springer International Publishing :2019. - xli, 79 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
This thesis reports on the development of different control tools for Brain-machine interface-based assistance and rehabilitation. Brain activity is analyzed with the purpose of classify mental tasks and detecting movement intentions in patients with impaired motility. Event-Related Desynchronization (ERD) and Event-Related Synchronization (ERS) are detected. Throughout this book, different control systems are presented and validated. This thesis, examined at the Miguel Hernandez University of Elche, Spain, in 2016, received the award for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017.
ISBN: 9783319957050
Standard No.: 10.1007/978-3-319-95705-0doiSubjects--Topical Terms:
908299
Brain-computer interfaces.
LC Class. No.: QP360.7
Dewey Class. No.: 005.437
Brain-machine interfaces for assistance and rehabilitation of people with reduced mobility
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This thesis reports on the development of different control tools for Brain-machine interface-based assistance and rehabilitation. Brain activity is analyzed with the purpose of classify mental tasks and detecting movement intentions in patients with impaired motility. Event-Related Desynchronization (ERD) and Event-Related Synchronization (ERS) are detected. Throughout this book, different control systems are presented and validated. This thesis, examined at the Miguel Hernandez University of Elche, Spain, in 2016, received the award for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017.
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W9366434
電子資源
11.線上閱覽_V
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EB QP360.7
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