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SAT: A Switch-And-Train Framework for Real-Time Training of..:
, In:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Zerafa, Rosanne
;
Camilleri, Tracey
;
Camilleri, Kenneth P.
- p. 959-962 , 2021
Link:
https://doi.org/10.1109/EMBC46164.2021.9629488
RT T1 <cTitle>2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>SAT: A Switch-And-Train Framework for Real-Time Training of SSVEP-based BCIs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9629488&Exemplar=1&LAN=DE A1 Zerafa, Rosanne A1 Camilleri, Tracey A1 Camilleri, Kenneth P. YR 2021 SN 2694-0604 K1 Training K1 Training data K1 Switches K1 Real-time systems K1 Brain-computer interfaces K1 Biology K1 Classification algorithms SP 959 OP 962 LK http://dx.doi.org/https://doi.org/10.1109/EMBC46164.2021.9629488 DO https://doi.org/10.1109/EMBC46164.2021.9629488 SF ELIB - SuUB Bremen
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