Supervisor

Tutaj przychodzi karta pracy dyplomowej; oryginał wstawiamy do wersji dla archiwum PP, w pozostałych kopiach wstawiamy ksero. Brain-computer interfaces (BCI) are systems which enable a user to control a device using only his or her neural activity [GAP10]. An important part of a brain-computer interface is an algorithm for classifying different commands that the user may want to execute. There are several neurological phenomena that can be used in a BCI. One of them is event-related desynchronization (ERD), which is a temporary decrease in power of the mu and beta brain waves. This phenomenon can be registered using electroencephalography (EEG) and occurs when a subject performs or imagines a limb movement [CP99]. The goal of this thesis is to implement an algorithm that would be able to classify four different motor imagery tasks, in which a user imagines a movement of one of the following parts of the body: left hand, right hand, both feet, or tongue. The data and the classification task formulation are taken from the fourth edition of the BCI Competition, which is an open competition concerning BCI-related data classification [TMA+12]. Although the competition is closed and the result