Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility / by Enrique Hortal
By: Hortal, Enrique, autor
Contributor(s): SpringerLink (Online service)
Series: (Engineering (Springer-11647)); (Springer Theses Recognizing Outstanding Ph.D. Research, 2190-5053).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (XLI, 79 páginas) : 32 ilustraciones, 31 ilustraciones a color.ISBN: 9783319957050.Subject: Interfaces cerebro-ordenador | Personas con discapacidad -- Rehabilitación | Ingeniería biomédicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: 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 Hernández 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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QP360.7 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062519 |
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 Hernández 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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