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- Publisher Website: 10.1016/j.softx.2023.101371
- Scopus: eid_2-s2.0-85150767055
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Article: MartMi-BCI: A matlab-based real-time motor imagery brain-computer interface platform
| Title | MartMi-BCI: A matlab-based real-time motor imagery brain-computer interface platform |
|---|---|
| Authors | |
| Keywords | Brain-computer interface (BCI) Matlab Motor imagery OpenBCI Real-time |
| Issue Date | 1-Mar-2023 |
| Publisher | Elsevier |
| Citation | SoftwareX, 2023, v. 22 How to Cite? |
| Abstract | Motor imagery brain-computer interface (MI-BCI) is a promising tool for neuro-rehabilitation. The real-time MI-BCI enables people with motor dysfunction disease to interact with the outside world. This work develops a Matlab-based real-time MI-BCI (MartMi-BCI) software, which involves two main modules, a real-time EEG analysis platform (RTEEGAP) and a model training platform (MTP). The RTEEGAP can realize real-time EEG analysis in time, frequency, and spatial domains and perform MI experiments with real-time feedback based on the OpenBCI device. Simultaneously, the MTP can train the CSP-based MI classification model and visualize the time–frequency reaction map. We hope the MartMi-BCI software can promote the development of EEG-based MI paradigm design and EEG classification algorithms. |
| Persistent Identifier | http://hdl.handle.net/10722/337701 |
| ISSN | 2021 Impact Factor: 2.868 2020 SCImago Journal Rankings: 0.528 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Guoyang | - |
| dc.contributor.author | Hsiao, Janet H | - |
| dc.contributor.author | Zhou, Weidong | - |
| dc.contributor.author | Tian, Lan | - |
| dc.date.accessioned | 2024-03-11T10:23:12Z | - |
| dc.date.available | 2024-03-11T10:23:12Z | - |
| dc.date.issued | 2023-03-01 | - |
| dc.identifier.citation | SoftwareX, 2023, v. 22 | - |
| dc.identifier.issn | 2352-7110 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/337701 | - |
| dc.description.abstract | <p>Motor imagery brain-computer interface (MI-BCI) is a promising tool for neuro-rehabilitation. The real-time MI-BCI enables people with motor dysfunction disease to interact with the outside world. This work develops a Matlab-based real-time MI-BCI (MartMi-BCI) software, which involves two main modules, a real-time EEG analysis platform (RTEEGAP) and a model training platform (MTP). The RTEEGAP can realize real-time EEG analysis in time, frequency, and spatial domains and perform MI experiments with real-time feedback based on the OpenBCI device. Simultaneously, the MTP can train the CSP-based MI classification model and visualize the time–frequency reaction map. We hope the MartMi-BCI software can promote the development of EEG-based MI paradigm design and EEG classification algorithms.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | SoftwareX | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Brain-computer interface (BCI) | - |
| dc.subject | Matlab | - |
| dc.subject | Motor imagery | - |
| dc.subject | OpenBCI | - |
| dc.subject | Real-time | - |
| dc.title | MartMi-BCI: A matlab-based real-time motor imagery brain-computer interface platform | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.softx.2023.101371 | - |
| dc.identifier.scopus | eid_2-s2.0-85150767055 | - |
| dc.identifier.volume | 22 | - |
| dc.identifier.eissn | 2352-7110 | - |
| dc.identifier.issnl | 2352-7110 | - |