Department of Bioengineering, University of Pittsburgh, PA 15219, USA.
Comput Intell Neurosci. 2011;2011:363565. doi: 10.1155/2011/363565. Epub 2011 Apr 7.
This paper presents "Craniux," an open-access, open-source software framework for brain-machine interface (BMI) research. Developed in LabVIEW, a high-level graphical programming environment, Craniux offers both out-of-the-box functionality and a modular BMI software framework that is easily extendable. Specifically, it allows researchers to take advantage of multiple features inherent to the LabVIEW environment for on-the-fly data visualization, parallel processing, multithreading, and data saving. This paper introduces the basic features and system architecture of Craniux and describes the validation of the system under real-time BMI operation using simulated and real electrocorticographic (ECoG) signals. Our results indicate that Craniux is able to operate consistently in real time, enabling a seamless work flow to achieve brain control of cursor movement. The Craniux software framework is made available to the scientific research community to provide a LabVIEW-based BMI software platform for future BMI research and development.
本文提出了“Craniux”,这是一个用于脑机接口(BMI)研究的开源、开放获取软件框架。Craniux 是在高级图形化编程环境 LabVIEW 中开发的,它提供了即开即用的功能和模块化的 BMI 软件框架,易于扩展。具体来说,它允许研究人员利用 LabVIEW 环境固有的多个功能,进行实时数据可视化、并行处理、多线程和数据保存。本文介绍了 Craniux 的基本功能和系统架构,并描述了使用模拟和真实皮层电图(ECoG)信号在实时 BMI 操作下对系统进行验证的情况。我们的结果表明,Craniux 能够在实时环境中稳定运行,实现了流畅的工作流程,从而实现了对光标运动的大脑控制。Craniux 软件框架可供科学研究社区使用,为未来的 BMI 研究和开发提供了一个基于 LabVIEW 的 BMI 软件平台。