Hybrid Brain-Computer Interfaces (BCIs) for upper limb rehabilitation after stroke should enable the reinforcement of "more normal" brain and muscular activity. Here, we propose the combination of corticomuscular coherence (CMC) and intermuscular coherence (IMC) as control features for a novel...
Processing and analysis of bioelectrical signals
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Sensorimotor rhythms-based Brain–Computer Interfaces (BCIs) have successfully been employed to address upper limb motor rehabilitation after stroke. In this context, becomes crucial the choice of features that would enable an appropriate electroencephalographic (EEG) sensorimotor activation/...
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Knowledge of motor cortex connectivity is of great value in cognitive neuroscience, in order to provide a better understanding of motor organization and its alterations in pathological conditions. Traditional methods provide connectivity estimations which may vary depending on the task. This work...
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Hybrid Brain-Computer Interfaces (hBCIs) for upper limb motor rehabilitation after stroke should pursue the reinforcement of “more normal” brain and muscular activity. We propose cortico-muscular coherence (CMC) as control feature for a novel rehabilitative hBCI. CMC is a measure of synchronization...
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The application of Hybrid Brain-Computer Interfaces (BCI) for post-stroke hand motor rehabilitation requires the investigation of new electromyographic (EMG) features, potentially able to identify pathological synergies to be discouraged. Inter-muscular coherence (IMC) is gaining attention as a...
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Hybrid Brain-Computer Interfaces (hBCIs) for upper limb motor rehabilitation after stroke should pursue the reinforcement of “more normal” brain and muscular activity. We propose cortico-muscular coherence (CMC) as control feature for a novel rehabilitative hBCI. CMC is a measure of synchronization...
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EEG signals are widely used to estimate brain circuits associated with specific tasks and cognitive processes. The testing of connectivity estimators is still an open issue because of the lack of a ground-truth in real data. Existing solutions such as the generation of simulated data based on a...