A regional smoothing block sparse bayesian learning method with temporal correlation for channel selection in p300 speller

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SUMMARY

    Brain-computer interface (BCI) is a direct interactive pathway designed to establish a non-muscle connection between the human brain and the computer (Wolpaw et_al, 2002; Jin et_al, 2015). It provides a new way to communicate with the outside, for example, daily communication (Sorbello et_al, 2017; He et_al, 2019) and wheelchair control (Kim et_al, 2016; Deng et_al, 2019). BCIs can also be used to aid in the diagnosis of disorders of consciousness (MaestĂș et_al, 2019; Ando et_al, 2021). Studies have shown the outstanding performance of Bayesian linear discriminant analysis (BLDA) in EEG decoding (Hoffmann . . .

     

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