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Pubmed for Handhelds

PUBMED FOR HANDHELDS

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  • Title: Motor prediction in Brain-Computer Interfaces for controlling mobile robots.
    Author: Geng T, Gan JQ.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():634-7. PubMed ID: 19162735.
    Abstract:
    EEG-based Brain-Computer Interface (BCI) can be regarded as a new channel for motor control except that it does not involve muscles. Normal neuromuscular motor control has two fundamental components: (1) to control the body, and (2) to predict the consequences of the control command, which is called motor prediction. In this study, after training with a specially designed BCI paradigm based on motor imagery, two subjects learnt to predict the time course of some features of the EEG signals. It is shown that, with this newly-obtained motor prediction skill, subjects can use motor imagery of feet to directly control a mobile robot to avoid obstacles and reach a small target in a time-critical scenario.
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