Meaningful feedback: user-centered coadaptive brain-computer interfaces

DENISE GABRIELA NIGRO; CATALINA GALVÁN; SAAVEDRA, MARÍA PAULA; PETERSON, VICTORIA

San Luis

Congreso; Encuentro SAN 2023; 2023

Sociedad Argentina de investigaciones en Neurociencia

Brain Computer Interfaces (BCIs) are systems that measure the brain activity andconvert it into artificial control outputs. For motor neurorehabilitation, thesetechnologies can be used to transform movement attempt/imagination into visualand/or somatosensory feedback. Experimental evidence shows that up to 50% of peopleare not able to command a BCI in the first session. Of these, about 20% are unable togain control of the BCI throughout session of usage. In this work we design a usercentered stimulation protocol which provides feedback based on operant conditioning,taking into account optimal levels of attention and motivation.The protocol is designed as a videogame, considering contributions from cognitivebehavioral psychology. The Neurofeedback is based on the outputs of an algorithmicsolution that can adapt to the user’s brain changes. The user needs to focus on theimagination of the grasping movement to reach a bag full of money. The feedback isdesigned so as to be adjusted as the user’s performance improves, aiming to achievethe greatest possible autonomy from the algorithm. The reinforcers will graduallydecrease depending on the subject’s performance. The level of fatigue will be monitoredto stop or/and pause the game when necessary. A diary of progress will also bedelivered to the user by the end of each BCI session. We expect that by means of thispercentage of inefficiency in BCI users disminish.