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
Affiliations
- Xiu-Yun Liu
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Wen-Long Wang
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Miao Liu
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Ming-Yi Chen
- Department of Micro/Nano Electronics, Shanghai Jiaotong University
- Tânia Pereira
- Institute for Systems and Computer Engineering, Technology and Science
- Desta Yakob Doda
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Yu-Feng Ke
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Shou-Yan Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
- Dong Wen
- School of Intelligence Science and Technology, University of Sciences and Technology Beijing
- Xiao-Guang Tong
- Tianjin Huanhu Hospital
- Wei-Guang Li
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong
- Yi Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University
- Xiao-Di Han
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University
- Yu-Lin Sun
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Xin Song
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Cong-Ying Hao
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Zi-Hua Zhang
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Xin-Yang Liu
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Chun-Yang Li
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Rui Peng
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Xiao-Xin Song
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Abi Yasi
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Mei-Jun Pang
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Kuo Zhang
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Run-Nan He
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Le Wu
- Department of Electric Engineering and Information Science, University of Science and Technology of China
- Shu-Geng Chen
- Department of Rehabilitation, Huashan Hospital, Fudan University
- Wen-Jin Chen
- Xuanwu Hospital of Capital Medical University
- Yan-Gong Chao
- The First Hospital of Tsinghua University
- Cheng-Gong Hu
- Department of Critical Care Medicine, West China Hospital of Sichuan University
- Heng Zhang
- Department of Neurosurgery, The First Hospital of China Medical University
- Min Zhou
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China, University of Science and Technology of China
- Kun Wang
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Peng-Fei Liu
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Chen Chen
- School of Computer Science, Fudan University
- Xin-Yi Geng
- School of Life Science and Technology, University of Electronic Science and Technology of China
- Yun Qin
- School of Life Science and Technology, University of Electronic Science and Technology of China
- Dong-Rui Gao
- School of Life Science and Technology, University of Electronic Science and Technology of China
- En-Ming Song
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University
- Long-Long Cheng
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- Xun Chen
- Department of Electric Engineering and Information Science, University of Science and Technology of China
- Dong Ming
- State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University
- DOI
- https://doi.org/10.1186/s40779-025-00598-z
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 42
Abstract
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.
Keywords
- Brain-computer interfaces (BCIs)
- Medical applications
- Rehabilitation
- Communication
- Brain monitoring
- Diagnosis