Multi-source online transfer algorithm based on source domain selection for EEG classification

Zizhuo Wu; Qingshan She; Zhelong Hou; Zhenyu Li; Kun Tian; Yuliang Ma; Zizhuo Wu; Qingshan She; Zhelong Hou; Zhenyu Li; Kun Tian; Yuliang Ma

doi:10.3934/mbe.2023211

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 3: 4560-4573. doi: 10.3934/mbe.2023211

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Research article Special Issues

Multi-source online transfer algorithm based on source domain selection for EEG classification

1.
School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China
2.
Zhejiang Kende Mechanical & Electrical Corporation

Academic Editor: Guenther Palm

Received: 08 October 2022 Revised: 10 December 2022 Accepted: 19 December 2022 Published: 26 December 2022

The non-stationary nature of electroencephalography (EEG) signals and individual variability makes it challenging to obtain EEG signals from users by utilizing brain-computer interface techniques. Most of the existing transfer learning methods are based on batch learning in offline mode, which cannot adapt well to the changes generated by EEG signals in the online situation. To address this problem, a multi-source online migrating EEG classification algorithm based on source domain selection is proposed in this paper. By utilizing a small number of labeled samples from the target domain, the source domain selection method selects the source domain data similar to the target data from multiple source domains. After training a classifier for each source domain, the proposed method adjusts the weight coefficients of each classifier according to the prediction results to avoid the negative transfer problem. This algorithm was applied to two publicly available motor imagery EEG datasets, namely, BCI Competition Ⅳ Dataset Ⅱa and BNCI Horizon 2020 Dataset 2, and it achieved average accuracies of 79.29 and 70.86%, respectively, which are superior to those of several multi-source online transfer algorithms, confirming the effectiveness of the proposed algorithm.

Keywords:

Citation: Zizhuo Wu, Qingshan She, Zhelong Hou, Zhenyu Li, Kun Tian, Yuliang Ma. Multi-source online transfer algorithm based on source domain selection for EEG classification[J]. Mathematical Biosciences and Engineering, 2023, 20(3): 4560-4573. doi: 10.3934/mbe.2023211

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Abstract

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