3/19/2023 0 Comments Url extractor tts nexus![]() Reject Option to Improve Decoding Accuracy for EEG-Motor Imagery Based BCI In summary, this paper underlines the importance of optimally choosing filter parameters, since their variable response has an impact on the classification of low EEG frequencies for BMI. Our results reveal important differences in MRCP decoding accuracy dependent on the selected frequency band for both offline and online approaches. This work compares different configurations of non-causal (i.e., offline) and causal (i.e., online) filters to classify movement-related cortical potentials (MRCP) with six healthy subjects during reaching movements. ![]() However, there is still not a well-established procedure to guarantee that this activity is optimally filtered from the background noise. Several offline and online studies have already demonstrated that discriminable information related to movement can be decoded from low-frequency EEG activity. Brain-machine interfaces (BMI) exploiting these signals have been developed to provide closed-loop feedback and induce neuroplasticity. Abstract: Low-frequency electroencephalographic (EEG) activity provides relevant information for decoding movement commands in healthy subjects and paralyzed patients.
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