开发脑机接口开源平台:openBMI

Min-Ho Lee, S. Fazli, Keun-Tae Kim, Seong-Whan Lee
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引用次数: 17

摘要

最近,神经科学研究对脑-机接口(BMI)工具箱的需求不断增加。BMI 系统为严重运动障碍患者提供了一种交流工具,可用于控制外部设备。在此,我们介绍一个名为 "OpenBMI "的开源 BMI 平台。OpenBMI 提供各种 BMI 范例、信号处理工具、数据分析技术以及实时反馈模块。OpenBMI 工具箱涵盖了离线和在线分析常见 BMI 范例的整个处理链,如运动图像(MI)、事件相关电位(ERP)和稳态视觉诱发电位(SSVEP)。本文将介绍 OpenBMI 框架、其功能及其未来发展计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an open source platform for brain-machine interface: openBMI
Recently, there has been an increased demand for Brain-Machine Interface (BMI) toolboxes for neuroscience research. A BMI system provides a communication tool for people with severe motor disabilities and can be used to control external devices. Here, we introduce an open-source BMI platform, named `OpenBMI'. OpenBMI offers various BMI paradigms, signal processing tools, data analysis techniques as well as real-time feedback modules. The OpenBMI toolbox covers the entire processing chains for offline and online analysis of common BMI paradigms, such as motor-imagery (MI), event-related potentials (ERPs) and steady-state visual evoked potentials (SSVEP). In this article, the OpenBMI framework, its features as well as its future development plan is introduced.
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