脑机接口软件生态：开源工具、跨领域应用和未来挑战

IF 30.4 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2026-09-24 DOI:10.1145/3833873

Zhenzhen Wu, Tzyy-Ping Jung, Wenlong Jiao, Xueguang Xie, Xianglong Wan, Dingna Duan, Tiange Liu, Suhan Cui, Dong Wen

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引用次数: 0

摘要

开源软件平台已经彻底改变了脑机接口（BCI）的发展。本文从技术基础、工具分类、场景适应和未来发展四个方面对基于脑电图的非侵入性脑机接口的生态系统进行了全面的研究。该研究展示了开源软件如何实现从信号采集到实时交互的完整BCI工作流程。系统框架对医疗保健、教育和娱乐领域的应用程序工具进行了分类。确定了生态系统中的技术挑战和突破机会。该研究为开发人员提供了选择开源BCI工具的方法。总的来说，这些见解旨在加速脑机接口技术从研究环境到实际部署的转变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Brain-Computer Interface Software Ecology: Open-Source Tools, Cross-Domain Applications, and Future Challenges

Open-source software platforms have revolutionized brain-computer interface (BCI) development. This comprehensive review examines the ecosystem for non-invasive EEG-based BCIs through four dimensions: technological foundations, tool taxonomy, scenario adaptation, and future evolution. The study demonstrates how open-source software enables complete BCI workflows from signal acquisition to real-time interaction. A systematic framework categorizes tools for applications in healthcare, education, and entertainment. Technical challenges and breakthrough opportunities in the ecosystem are identified. The study offers developers methodologies to select open-source BCI tools. Collectively, these insights aim to accelerate the transition of BCI technologies from research settings to real-world deployment.

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

期刊介绍： ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.