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- W3022291236 abstract "Corticomuscular Coherence (CMC) reflects the functional coupling between the neural activity of the cortical areas in the brain and the associated muscles. For a Brain-Computer Interface (BCI), the neural activities could be picked up by electrophysiological recordings from the brain, such as the electroencephalogram (EEG). The electromyogram (EMG) records the electrical activity of the muscles. This paper introduces a novel approach of estimating the CMC based on Kernel Partial Least Square (KPLS), a propitious regression method for handling non-linear systems. The proposed KPLS-CMC, an alternative method to compute CMC, that distinguishes an optimal set of features to characterize the CMC with regard to KPLS based relevance scores was examined on six healthy individual to gauge its performance in the form of correlation coefficient. The KPLS-CMC coefficient could be an effective substitute to drive a BCI system, as a corticomuscular feature." @default.
- W3022291236 created "2020-05-13" @default.
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- W3022291236 date "2020-02-01" @default.
- W3022291236 modified "2023-10-16" @default.
- W3022291236 title "Estimating Corticomuscular Coherence using Kernel Partial Least Square" @default.
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- W3022291236 doi "https://doi.org/10.1109/ic3a48958.2020.233318" @default.
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