piwik-script

Deutsch Intern
    Department of Psychology I - Workgroup Kübler
    Fig. 1. A P300-BCI matrix consisting of letters and numbers.

    Brain Computer Intefaces (BCI)

    Brain-Computer Interfaces (BCIs) translate brain signals into operational commands for technical devices. Different electroencephalogram (EEG) signals have been applied to control a BCI, e.g. slow cortical potentials (SCP), sensorimotor rhythms (SMR) and event-related potentials (ERP). 

    At University of Würzburg research mainly focuses on two types of EEG signals: SMR and ERP (see also projects).

     

    SMR-BCI:

    Brain Computer Interfaces based on modulation of sensory motor rhythms classify differences in EEG patterns during different types of movement imagination (MI) tasks such as hand or foot MI. For example in a typical two-class hand vs. foot MI paradigm these differences enable a BCI user to control an object in a two-dimensional movement environment, for example a computer cursor on a screen. In this case, imagination of hand movement would head the cursor upward; foot MI would head it downward. Hence controlling the cursor would be a balance of two imaginations. 

     

    P300-BCI:

    Another type of BCI - the P300-BCI - is based on event related potentials. It is mainly used for communication purpose. Users are presented with a matrix consisting of letters and numbers that are flashed consecutively. By focusing on the intended letter or number, flashing will elicit a prominent positive deflection - the P300 - in the user's EEG. By detecting the P300 from the event related EEG the system is able to identify which letter/number the user is intending to spell. It was shown that users with impaired motor control, e.g. patients suffering from Amyotrophic Lateral Sclerosis (ALS), are able to use the P300-BCI for communication.

     

    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Facebook. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Twitter. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

    Contact

    Universität Würzburg
    Sanderring 2
    97070 Würzburg

    Phone: +49 931 31-0
    Fax: +49 931 31-82600

    Find Contact

    Sanderring Röntgenring Hubland Nord Hubland Süd Campus Medizin