Brain–computer interfaces in 2023–2024

Abstract Brain–computer interfaces (BCIs) have advanced at a rapid pace in recent years, particularly in the medical domain. This review provides a comprehensive summary of the progress made in medical BCIs during the 2023–2024 period, covering a wide range of topics from invasive to non‐invasive te...

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Main Authors: Shugeng Chen, Mingyi Chen, Xu Wang, Xiuyun Liu, Bing Liu, Dong Ming
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Brain-X
Subjects:
Online Access:https://doi.org/10.1002/brx2.70024
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author Shugeng Chen
Mingyi Chen
Xu Wang
Xiuyun Liu
Bing Liu
Dong Ming
author_facet Shugeng Chen
Mingyi Chen
Xu Wang
Xiuyun Liu
Bing Liu
Dong Ming
author_sort Shugeng Chen
collection DOAJ
description Abstract Brain–computer interfaces (BCIs) have advanced at a rapid pace in recent years, particularly in the medical domain. This review provides a comprehensive summary of the progress made in medical BCIs during the 2023–2024 period, covering a wide range of topics from invasive to non‐invasive techniques, and from fundamental mechanisms to clinical applications. The 2023–2024 period saw numerous research breakthroughs and clinical applications of BCI technology. As BCI hardware and software continue to evolve, and as the understanding of basic medical principles deepens, the expectation is that innovative BCI inventions will increasingly be introduced in clinical practice. Both invasive and non‐invasive BCI technologies are paving the way for broader clinical applications. It is anticipated that BCI technologies will offer greater hope for disease treatment, provide additional methods of enhancing human bodily functions, and ultimately improve the quality of life.
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institution DOAJ
issn 2835-3153
language English
publishDate 2025-03-01
publisher Wiley
record_format Article
series Brain-X
spelling doaj-art-262c50c09b3d45c7b26eee991b3ffb342025-08-20T03:06:44ZengWileyBrain-X2835-31532025-03-0131n/an/a10.1002/brx2.70024Brain–computer interfaces in 2023–2024Shugeng Chen0Mingyi Chen1Xu Wang2Xiuyun Liu3Bing Liu4Dong Ming5Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai ChinaDepartment of Micro/Nao Electronics Shanghai Jiaotong University Shanghai ChinaThe George Washington University Washington DC USAMedical School Tianjin University Tianjin ChinaInstitute of Automation Chinese Academy of Sciences Beijing ChinaMedical School Tianjin University Tianjin ChinaAbstract Brain–computer interfaces (BCIs) have advanced at a rapid pace in recent years, particularly in the medical domain. This review provides a comprehensive summary of the progress made in medical BCIs during the 2023–2024 period, covering a wide range of topics from invasive to non‐invasive techniques, and from fundamental mechanisms to clinical applications. The 2023–2024 period saw numerous research breakthroughs and clinical applications of BCI technology. As BCI hardware and software continue to evolve, and as the understanding of basic medical principles deepens, the expectation is that innovative BCI inventions will increasingly be introduced in clinical practice. Both invasive and non‐invasive BCI technologies are paving the way for broader clinical applications. It is anticipated that BCI technologies will offer greater hope for disease treatment, provide additional methods of enhancing human bodily functions, and ultimately improve the quality of life.https://doi.org/10.1002/brx2.70024brain–computer interfaceshardware and softwaremechanismmedical applicationprogress
spellingShingle Shugeng Chen
Mingyi Chen
Xu Wang
Xiuyun Liu
Bing Liu
Dong Ming
Brain–computer interfaces in 2023–2024
Brain-X
brain–computer interfaces
hardware and software
mechanism
medical application
progress
title Brain–computer interfaces in 2023–2024
title_full Brain–computer interfaces in 2023–2024
title_fullStr Brain–computer interfaces in 2023–2024
title_full_unstemmed Brain–computer interfaces in 2023–2024
title_short Brain–computer interfaces in 2023–2024
title_sort brain computer interfaces in 2023 2024
topic brain–computer interfaces
hardware and software
mechanism
medical application
progress
url https://doi.org/10.1002/brx2.70024
work_keys_str_mv AT shugengchen braincomputerinterfacesin20232024
AT mingyichen braincomputerinterfacesin20232024
AT xuwang braincomputerinterfacesin20232024
AT xiuyunliu braincomputerinterfacesin20232024
AT bingliu braincomputerinterfacesin20232024
AT dongming braincomputerinterfacesin20232024