A review of giant magneto-impedance-based MEG detection technique
Aim This article introduces the giant magneto-impedance-based MEG detection technique to facilitate and inspire researchers wishing to engage in related studies.Methods We take non-invasive brain-computer interface (BCI) as the application background, and firstly analyze the advantages of magnetoenc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Brain-Apparatus Communication |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27706710.2024.2322930 |
| _version_ | 1826929923555590144 |
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| author | Wenqi Li Zongtan Zhou Jingsheng Tang Ming Xu |
| author_facet | Wenqi Li Zongtan Zhou Jingsheng Tang Ming Xu |
| author_sort | Wenqi Li |
| collection | DOAJ |
| description | Aim This article introduces the giant magneto-impedance-based MEG detection technique to facilitate and inspire researchers wishing to engage in related studies.Methods We take non-invasive brain-computer interface (BCI) as the application background, and firstly analyze the advantages of magnetoencephalography (MEG) over electroencephalography (EEG) in terms of practicality, temporal and spatial resolution, and data acquisition. Then the development status of the major MEG detection techniques are overviewed. In addition, the circuit structure and research status of GMI sensor are outlined. Finally, the future development trends and challenges of the MEG-based BCI technology and the MEG detection technique based on GMI sensor are analyzed and summarized.Conclusion Detecting MEG signals in an unshielded environment is a worldwide challenge. The MEG detection technique based on the GMI effect has a promising application in the field of BCI, so it is significant to conduct the investigation of this technique. |
| first_indexed | 2024-03-07T14:15:06Z |
| format | Article |
| id | doaj.art-f77aace9ab9243768d0a0263df690076 |
| institution | Directory Open Access Journal |
| issn | 2770-6710 |
| language | English |
| last_indexed | 2025-02-17T16:16:07Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Brain-Apparatus Communication |
| spelling | doaj.art-f77aace9ab9243768d0a0263df6900762024-12-17T12:51:42ZengTaylor & Francis GroupBrain-Apparatus Communication2770-67102024-12-013110.1080/27706710.2024.2322930A review of giant magneto-impedance-based MEG detection techniqueWenqi Li0Zongtan Zhou1Jingsheng Tang2Ming Xu3The College of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaThe College of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaThe College of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaThe College of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaAim This article introduces the giant magneto-impedance-based MEG detection technique to facilitate and inspire researchers wishing to engage in related studies.Methods We take non-invasive brain-computer interface (BCI) as the application background, and firstly analyze the advantages of magnetoencephalography (MEG) over electroencephalography (EEG) in terms of practicality, temporal and spatial resolution, and data acquisition. Then the development status of the major MEG detection techniques are overviewed. In addition, the circuit structure and research status of GMI sensor are outlined. Finally, the future development trends and challenges of the MEG-based BCI technology and the MEG detection technique based on GMI sensor are analyzed and summarized.Conclusion Detecting MEG signals in an unshielded environment is a worldwide challenge. The MEG detection technique based on the GMI effect has a promising application in the field of BCI, so it is significant to conduct the investigation of this technique.https://www.tandfonline.com/doi/10.1080/27706710.2024.2322930Brain-computer interface (BCI)bio-magnetic fieldgiant magneto-impedance (GMI)magnetoencephalography (MEG)magnetic sensor |
| spellingShingle | Wenqi Li Zongtan Zhou Jingsheng Tang Ming Xu A review of giant magneto-impedance-based MEG detection technique Brain-Apparatus Communication Brain-computer interface (BCI) bio-magnetic field giant magneto-impedance (GMI) magnetoencephalography (MEG) magnetic sensor |
| title | A review of giant magneto-impedance-based MEG detection technique |
| title_full | A review of giant magneto-impedance-based MEG detection technique |
| title_fullStr | A review of giant magneto-impedance-based MEG detection technique |
| title_full_unstemmed | A review of giant magneto-impedance-based MEG detection technique |
| title_short | A review of giant magneto-impedance-based MEG detection technique |
| title_sort | review of giant magneto impedance based meg detection technique |
| topic | Brain-computer interface (BCI) bio-magnetic field giant magneto-impedance (GMI) magnetoencephalography (MEG) magnetic sensor |
| url | https://www.tandfonline.com/doi/10.1080/27706710.2024.2322930 |
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