2023
DOI: 10.1109/tbme.2023.3274231
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Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data

Abstract: Objective: Electroencephalogram (EEG) signal recognition based on deep learning technology requires the support of sufficient data. However, training data scarcity usually occurs in subject-specific motor imagery tasks unless multisubject data can be used to enlarge training data. Unfortunately, because of the large discrepancies between data distributions from different subjects, model performance could only be improved marginally or even worsened by simply training on multisubject data. Method: This paper pr… Show more

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Cited by 4 publications
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