2022
DOI: 10.1088/1741-2552/ac59a4
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L1-norm based time-varying brain neural network and its application to dynamic analysis for motor imagery

Abstract: Objective. EEG-based motor imagery (MI) brain-computer interface offers a promising way to improve the efficiency of motor rehabilitation and motor skill learning. In recent years, the power of dynamic network analysis for MI classification has been proved. In fact, its usability mainly depends on the accurate estimation of brain connection. However, traditional dynamic network estimation strategies such as adaptive directed transfer function (ADTF) are designed in the L2-norm. Usually, they estimate a series… Show more

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Cited by 8 publications
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References 63 publications
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