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  • Identification of the phase code in an EEG during gripping-force tasks : a possible alternative approach to the development of the brain-computer interfaces
    Logar, Vito ...
    Background: The subject of brain-computer interfaces (BCIs) represents a vast and still mainly undiscovered land, but perhaps the most interesting part of BCIs is trying to understand the information ... exchange and coding in the brainitself. According to some recent reports, the phase characteristics of the signals play an important role in the information transfer and coding. Themechanism of phase shifts, regarding the information processing, is also known as the phase coding of information. Objective: The authors would like toshow that electroencephalographic (EEG) signals, measured during the performance of different gripping-force control tasks, carry enough information for the successful prediction of the gripping force, as applied bythe subjects, when using a methodology based on the phase demodulation of EEG data. Since the presented methodology is non-invasive it could be used as an alternative approach for the development of BCIs. Materials and methods: Inorder to predict the gripping force from the EEG signals we used a methodology that uses subsequent signal processing methods: simplistic filtering methods, for extracting the appropriate brain rhythm; principal component analysis, for achieving the linear independence and detecting the source of the signal; and the phase-demodulation method, for extracting the phase-coded information about the gripping force. A fuzzy inference system is then used to predict the gripping force from the processed EEG data. Results: The proposed methodology has clearly demonstrated that EEG signals carry enough information for a successful prediction of the subject's performance. Moreover, a cross-validation showed that information about the gripping force is encoded in a very similar way between the subjects tested. (Abstract truncated at 2000 characters)
    Vir: Artificial intelligence in medicine. - ISSN 0933-3657 (Vol. 44, no. 1, Sep. 2008, str. 41-49)
    Vrsta gradiva - članek, sestavni del
    Leto - 2008
    Jezik - angleški
    COBISS.SI-ID - 24594905

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