Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rasmus L. Kæseler"'
Publikováno v:
Signals, Vol 3, Iss 2, Pp 396-409 (2022)
Brain–Computer Interfaces (BCIs) have been regarded as potential tools for individuals with severe motor disabilities, such as those with amyotrophic lateral sclerosis, that render interfaces that rely on movement unusable. This study aims to devel
Externí odkaz:
https://doaj.org/article/1cb5685214cf42b1a0b15f6edcba10a5
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 678-687 (2022)
Individuals with severe tetraplegia can benefit from brain-computer interfaces (BCIs). While most movement-related BCI systems focus on right/left hand and/or foot movements, very few studies have considered tongue movements to construct a multiclass
Externí odkaz:
https://doaj.org/article/556050ac24ef4efb98d209481d8b7b7b
Publikováno v:
Cardoso, A S S, Struijk, L N S A, Kæseler, R L & Jochumsen, M R 2022, Comparing the Usability of Alternative EEG Devices to Traditional Electrode Caps for SSVEP-BCI Controlled Assistive Robots . in 2022 IEEE International Conference on Rehabilitation Robotics (ICORR). . vol. 2022, 9896588, IEEE, I E E E International Conference on Rehabilitation Robotics. Proceedings, pp. 1-6, International Conference on Rehabilitation Robotics, ICORR 2022, Rotterdam, Netherlands, 25/07/2022 . https://doi.org/10.1109/ICORR55369.2022.9896588
Despite having the potential to improve the lives of severely paralyzed users, non-invasive Brain Computer Interfaces (BCI) have yet to be integrated into their daily lives. The widespread adoption of BCI-driven assistive technology is hindered by it