title: Real-time recognition of feedback error-related potentials during a time-estimation task.
abstract: Feedback error-related potentials are a promising brain process in the field of rehabilitation since they are related to human learning. Due to the fact that many therapeutic strategies rely on the presentation of feedback stimuli, potentials generated by these stimuli could be used to ameliorate the patient's progress. In this paper we propose a method that can identify, in real-time, feedback evoked potentials in a time-estimation task. We have tested our system with five participants in two different days with a separation of three weeks between them, achieving a mean single-trial detection performance of 71.62% for real-time recognition, and 78.08% in offline classification. Additionally, an analysis of the stability of the signal between the two days is performed, suggesting that the feedback responses are stable enough to be used without the needing of training again the user.
authors.affiliation: Instituto de Investigación en Ingeniería de Aragón (I3A) and Dpto. de Informática e Ingeniería de Sistemas (DIIS), Universidad de Zaragoza, Spain. edulop@unizar.es
authors.forename: Eduardo
authors.initials: E
authors.lastname: Lopez-Larraz
authors.forename: Iñaki
authors.initials: I
authors.lastname: Iturrate
authors.forename: Luis
authors.initials: L
authors.lastname: Montesano
authors.forename: Javier
authors.initials: J
authors.lastname: Minguez
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology; D001930:Brain Injuries / Q000534:rehabilitation*; D003627:Data Interpretation, Statistical; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D005071:Evoked Potentials / Q000502:physiology*; D005246:Feedback; D006801:Humans; D008297:Male; D011597:Psychomotor Performance / Q000502:physiology; D015203:Reproducibility of Results; D012984:Software; D013997:Time Factors