[An emerging discipline: brain-computer interfaces medicine].

Yanxiao Chen, Zhe Zhang, Fan Wang, Peng Ding, Lei Zhao, Yunfa Fu
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Abstract

With the development of brain-computer interface (BCI) technology and its translational application in clinical medicine, BCI medicine has emerged, ushering in profound changes to the practice of medicine, while also bringing forth a series of ethical issues related to BCI medicine. BCI medicine is progressively emerging as a new disciplinary focus, yet to date, there has been limited literature discussing it. Therefore, this paper focuses on BCI medicine, firstly providing an overview of the main potential medical applications of BCI technology. It then defines the discipline, outlines its objectives, methodologies, potential efficacy, and associated translational medical research. Additionally, it discusses the ethics associated with BCI medicine, and introduces the standardized operational procedures for BCI medical applications and the methods for evaluating the efficacy of BCI medical applications. Finally, it anticipates the challenges and future directions of BCI medicine. In the future, BCI medicine may become a new academic discipline or major in higher education. In summary, this article is hoped to provide thoughts and references for the development of the discipline of BCI medicine.

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[新兴学科:脑机接口医学]。
随着脑机接口(BCI)技术的发展及其在临床医学中的转化应用,BCI医学应运而生,在给医学实践带来深刻变革的同时,也带来了一系列与BCI医学相关的伦理问题。作为一门新兴的学科,BCI 医学正逐步崭露头角,但迄今为止,对其进行讨论的文献还很有限。因此,本文聚焦于生物识别医学,首先概述了生物识别技术的主要潜在医学应用。然后对该学科进行定义,概述其目标、方法、潜在功效以及相关的转化医学研究。此外,它还讨论了与生物识别医学相关的伦理问题,并介绍了生物识别医学应用的标准化操作程序和生物识别医学应用的疗效评估方法。最后,它还预测了 BCI 医学面临的挑战和未来的发展方向。未来,BCI 医学可能会成为高等教育中一门新的学科或专业。总之,本文希望能为BCI医学学科的发展提供思考和参考。
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来源期刊
生物医学工程学杂志
生物医学工程学杂志 Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
4868
期刊介绍:
期刊最新文献
[A deep transfer learning approach for cross-subject recognition of mental tasks based on functional near-infrared spectroscopy]. [A lightweight recurrence prediction model for high grade serous ovarian cancer based on hierarchical transformer fusion metadata]. [A review of functional electrical stimulation based on brain-computer interface]. [An efficient and practical electrode optimization method for transcranial electrical stimulation]. [An emerging discipline: brain-computer interfaces medicine].
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