at Google ScholarTitle data
Ponferrada, Eduardo G. ; Sylaidi, Anastasia ; Faisal, A. Aldo:
Data-efficient Motor Imagery Decoding in Real-time for the Cybathlon Brain-Computer Interface Race.
In:
NEUROTECHNIX 2018 : Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics. -
Setúbal
: SCITEPRESS
,
2018
. - pp. 21-32
ISBN 978-989-758-326-1
DOI: https://doi.org/10.5220/0006962400210032
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Life Sciences: Food, Nutrition and Health Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften - Univ.-Prof. Dr. Aldo Faisal Faculties Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften |
| Result of work at the UBT: | No |
| DDC Subjects: | 600 Technology, medicine, applied sciences |
| Date Deposited: | 06 Sep 2023 10:09 |
| Last Modified: | 06 Sep 2023 10:09 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/86792 |