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In this work, paired sensory stimulation training via pavlovian conditioning (PSSPC) was proposed to improve motor imagery BCI performance, especially targeted in those poor performing BCI users. Motor imagery task was paired with the sensory stimulus to establish the conditioned responses through the long-term classic conditioning training. Three poor performing subjects were recruited to participate...
In this paper we introduced a new method to optimally select the time window for a single-trial classification problem in BCI system. As a hybrid-BCI, we combine EEG and NIRS signals to improve the performance of BCI system. Since there's a coupled relationship between EEG and NIRS, we try to define the activation state of subject's brain according to the changes of hemoglobin. We therefore defined...
In this work, Accumulated Continuous Classification (ACC) method was proposed to facilitate single-trial decoding in Motor Imagery based Brain-computer Interface. Exploring the temporal information, the time interval of the single-trial was divided into several sub-segments, then the classified results were combined. Theoretical model was proposed, and the proposed method was evaluated in BCI competition...
It is investigated that unilateral sensory stimulation during the motor imagery period might enhance the sensory motor interaction reflected from enhanced sensorimotor rhythm, and the outcomes might be helpful for those with difficulty in producing discriminative rhythmic pattern for successful BCI practice such as hemiplegic stroke patients, amputees and widely existed ‘BCI-illiteracy’ users. In...
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