Military Medical Research (Mar 2025)

Recent applications of EEG-based brain-computer-interface in the medical field

  • Xiu-Yun Liu,
  • Wen-Long Wang,
  • Miao Liu,
  • Ming-Yi Chen,
  • Tânia Pereira,
  • Desta Yakob Doda,
  • Yu-Feng Ke,
  • Shou-Yan Wang,
  • Dong Wen,
  • Xiao-Guang Tong,
  • Wei-Guang Li,
  • Yi Yang,
  • Xiao-Di Han,
  • Yu-Lin Sun,
  • Xin Song,
  • Cong-Ying Hao,
  • Zi-Hua Zhang,
  • Xin-Yang Liu,
  • Chun-Yang Li,
  • Rui Peng,
  • Xiao-Xin Song,
  • Abi Yasi,
  • Mei-Jun Pang,
  • Kuo Zhang,
  • Run-Nan He,
  • Le Wu,
  • Shu-Geng Chen,
  • Wen-Jin Chen,
  • Yan-Gong Chao,
  • Cheng-Gong Hu,
  • Heng Zhang,
  • Min Zhou,
  • Kun Wang,
  • Peng-Fei Liu,
  • Chen Chen,
  • Xin-Yi Geng,
  • Yun Qin,
  • Dong-Rui Gao,
  • En-Ming Song,
  • Long-Long Cheng,
  • Xun Chen,
  • Dong Ming

DOI
https://doi.org/10.1186/s40779-025-00598-z
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 42

Abstract

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Abstract Brain-computer interfaces (BCIs) represent an emerging technology that facilitates direct communication between the brain and external devices. In recent years, numerous review articles have explored various aspects of BCIs, including their fundamental principles, technical advancements, and applications in specific domains. However, these reviews often focus on signal processing, hardware development, or limited applications such as motor rehabilitation or communication. This paper aims to offer a comprehensive review of recent electroencephalogram (EEG)-based BCI applications in the medical field across 8 critical areas, encompassing rehabilitation, daily communication, epilepsy, cerebral resuscitation, sleep, neurodegenerative diseases, anesthesiology, and emotion recognition. Moreover, the current challenges and future trends of BCIs were also discussed, including personal privacy and ethical concerns, network security vulnerabilities, safety issues, and biocompatibility.

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