TY  - JOUR
AU  - Spüler, Martin
AU  - López-Larraz, Eduardo
AU  - Ramos-Murguialday, Ander
PY  - 2018
DO  - 10.1186/s12984-018-0438-z
SN  - 1743-0003
AB  - Background: Brain machine interface (BMI) technology has demonstrated its efficacy for rehabilitation of paralyzed chronic stroke patients. The critical component in BMI-training consists of the associative connection (contingency) between the...
LA  - eng
TI  - On the design of EEG-based movement decoders for completely paralyzed stroke patients
TY  - journal article
ER  -