Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yvonne Blokland"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24, 6, pp. 700-709
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24, 700-709
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24, 700-709
Item does not contain fulltext Brain-Computer Interface (BCI) systems are traditionally designed by taking into account user-specific data to enable practical use. More recently, subject independent (SI) classification algorithms have been developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65238e4a2571a595d65d369ea77c5b15
https://hdl.handle.net/2066/171093
https://hdl.handle.net/2066/171093
Autor:
Gert Jan Scheffer, J.G.C. Lerou, Loukianos Spyrou, Yvonne Blokland, J.M.J. Mourisse, Geert-Jan van Geffen, Jason Farquhar, Jörgen Bruhn
Publikováno v:
Journal of Neural Engineering, 13, 2
Journal of Neural Engineering, 13
Journal of Neural Engineering, 13
Contains fulltext : 157484.pdf (Publisher’s version ) (Open Access) Objective. Patients undergoing general anesthesia may awaken and become aware of the surgical procedure. Due to neuromuscular blocking agents, patients could be conscious yet unabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::368cbc58260ca769d15d2e638e6992a0
https://hdl.handle.net/2066/157484
https://hdl.handle.net/2066/157484
Autor:
J.G.C. Lerou, Jörgen Bruhn, Loukianos Spyrou, Geert-Jan van Geffen, J.M.J. Mourisse, Yvonne Blokland, Gert Jan Scheffer, Jason Farquhar
Publikováno v:
Scientific Reports
Scientific Reports, 5
Scientific Reports, 5
Contains fulltext : 154964.pdf (Publisher’s version ) (Open Access) Brain-Computer Interfaces (BCIs) have the potential to detect intraoperative awareness during general anaesthesia. Traditionally, BCI research is aimed at establishing or improving
Autor:
Jörgen Bruhn, Yvonne Blokland, Marianne Floor-Westerdijk, Dick H. J. Thijssen, Rutger Vlek, Loukianos Spyrou, Jason Farquhar, Thijs M. H. Eijsvogels, Willy N.J.M. Colier
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22, 222-229
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22, 2, pp. 222-229
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22, 2, pp. 222-229
Item does not contain fulltext Combining electrophysiological and hemodynamic features is a novel approach for improving current performance of brain switches based on sensorimotor rhythms (SMR). This study was conducted with a dual purpose: to test
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01093da90845be11f7afbcff276be80d
https://doi.org/10.1109/TNSRE.2013.2292995
https://doi.org/10.1109/TNSRE.2013.2292995
Publikováno v:
Brain-Computer Interfaces, 1, 1, pp. 50-61
Brain-Computer Interfaces, 1, 50-61
Brain-Computer Interfaces, 1, 50-61
Item does not contain fulltext It is an implicit assumption in the field of brain-computer interfacing (BCI) that BCIs can be satisfactorily used to access augmentative and alternative communication (AAC) methods by people with severe physical disabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4efd8268e70a7a83f6b728fd4561aa1
https://hdl.handle.net/2066/135634
https://hdl.handle.net/2066/135634
Autor:
Yvonne Blokland, Betul Karaman, Marianne Floor-Westerdijk, Fatma Ozin, Jörgen Bruhn, Willy N.J.M. Colier, Rutger Vlek, Jason Farquhar, Thijs M. H. Eijsvogels, Dick H. J. Thijssen
Publikováno v:
EMBC
Motor-impaired individuals such as tetraplegics could benefit from Brain-Computer Interfaces with an intuitive control mechanism, for instance for the control of a neuroprosthesis. Whereas BCI studies in healthy users commonly focus on motor imagery,
Publikováno v:
NeuroImage
NeuroImage, 56, 843-849
NeuroImage, 56, 2, pp. 843-849
NeuroImage, 56, 843-849
NeuroImage, 56, 2, pp. 843-849
Contains fulltext : 96134.pdf (Publisher’s version ) (Closed access) In the current study we use electroencephalography (EEG) to detect heard music from the brain signal, hypothesizing that the time structure in music makes it especially suitable f
Autor:
Yvonne Blokland, Jason Farquhar, Jos Lerou, Jo Mourisse, Gert Jan Scheffer, Geert-Jan van Geffen, Loukianos Spyrou, Jörgen Bruhn
Publikováno v:
Journal of Neural Engineering; Apr2016, Vol. 13 Issue 2, p1-1, 1p