XLI, 79 p. 32 illus., 31 illus. in color. online resource
SUMMARY
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
SUBJECT
Biomedical engineering
Computer science
Biomedical Engineering and Bioengineering. http://scigraph.springernature.com/things/product-market-codes/T2700X
User Interfaces and Human Computer Interaction. http://scigraph.springernature.com/things/product-market-codes/I18067
Control and Systems Theory. http://scigraph.springernature.com/things/product-market-codes/T19010