Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method
Recently, motor imagery brain-computer interfaces (MI-BCIs) with stimulation systems have been developed in the field of motor function assistance and rehabilitation engineering. An efficient stimulation paradigm and Electroencephalogram (EEG) decoding method have been designed to enhance the perfor...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2022.975410/full |
| _version_ | 1828321341540925440 |
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| author | Yao Hou Zhenghui Gu Zhu Liang Yu Xiaofeng Xie Rongnian Tang Jinghan Xu Feifei Qi Feifei Qi |
| author_facet | Yao Hou Zhenghui Gu Zhu Liang Yu Xiaofeng Xie Rongnian Tang Jinghan Xu Feifei Qi Feifei Qi |
| author_sort | Yao Hou |
| collection | DOAJ |
| description | Recently, motor imagery brain-computer interfaces (MI-BCIs) with stimulation systems have been developed in the field of motor function assistance and rehabilitation engineering. An efficient stimulation paradigm and Electroencephalogram (EEG) decoding method have been designed to enhance the performance of MI-BCI systems. Therefore, in this study, a multimodal dual-level stimulation paradigm is designed for lower-limb rehabilitation training, whereby visual and auditory stimulations act on the sensory organ while proprioceptive and functional electrical stimulations are provided to the lower limb. In addition, upper triangle filter bank sparse spatial pattern (UTFB-SSP) is proposed to automatically select the optimal frequency sub-bands related to desynchronization rhythm during enhanced imaginary movement to improve the decoding performance. The effectiveness of the proposed MI-BCI system is demonstrated on an the in-house experimental dataset and the BCI competition IV IIa dataset. The experimental results show that the proposed system can effectively enhance the MI performance by inducing the α, β and γ rhythms in lower-limb movement imagery tasks. |
| first_indexed | 2024-04-13T18:25:00Z |
| format | Article |
| id | doaj.art-e8edea27b77841c7b1e19af4e02e16f8 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-04-13T18:25:00Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-e8edea27b77841c7b1e19af4e02e16f82022-12-22T02:35:18ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612022-08-011610.3389/fnhum.2022.975410975410Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding methodYao Hou0Zhenghui Gu1Zhu Liang Yu2Xiaofeng Xie3Rongnian Tang4Jinghan Xu5Feifei Qi6Feifei Qi7Mechanical and Electrical Engineering College, Hainan University, Haikou, ChinaCollege of Automation Science and Engineering, South China University of Technology, Guangzhou, ChinaCollege of Automation Science and Engineering, South China University of Technology, Guangzhou, ChinaMechanical and Electrical Engineering College, Hainan University, Haikou, ChinaMechanical and Electrical Engineering College, Hainan University, Haikou, ChinaMechanical and Electrical Engineering College, Hainan University, Haikou, ChinaSchool of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, ChinaPazhou Lab, Guangzhou, ChinaRecently, motor imagery brain-computer interfaces (MI-BCIs) with stimulation systems have been developed in the field of motor function assistance and rehabilitation engineering. An efficient stimulation paradigm and Electroencephalogram (EEG) decoding method have been designed to enhance the performance of MI-BCI systems. Therefore, in this study, a multimodal dual-level stimulation paradigm is designed for lower-limb rehabilitation training, whereby visual and auditory stimulations act on the sensory organ while proprioceptive and functional electrical stimulations are provided to the lower limb. In addition, upper triangle filter bank sparse spatial pattern (UTFB-SSP) is proposed to automatically select the optimal frequency sub-bands related to desynchronization rhythm during enhanced imaginary movement to improve the decoding performance. The effectiveness of the proposed MI-BCI system is demonstrated on an the in-house experimental dataset and the BCI competition IV IIa dataset. The experimental results show that the proposed system can effectively enhance the MI performance by inducing the α, β and γ rhythms in lower-limb movement imagery tasks.https://www.frontiersin.org/articles/10.3389/fnhum.2022.975410/fullbrain-computer interfacemotor imagerystimulationgroup lassocommon spatial pattern |
| spellingShingle | Yao Hou Zhenghui Gu Zhu Liang Yu Xiaofeng Xie Rongnian Tang Jinghan Xu Feifei Qi Feifei Qi Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method Frontiers in Human Neuroscience brain-computer interface motor imagery stimulation group lasso common spatial pattern |
| title | Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method |
| title_full | Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method |
| title_fullStr | Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method |
| title_full_unstemmed | Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method |
| title_short | Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method |
| title_sort | enhancement of lower limb motor imagery ability via dual level multimodal stimulation and sparse spatial pattern decoding method |
| topic | brain-computer interface motor imagery stimulation group lasso common spatial pattern |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2022.975410/full |
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