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arXiv 2002.06642cs.HC
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BciPy:Python中的脑机接口软件

BciPy: Brain-Computer Interface Software in Python

Tab Memmott, Aziz Koçanaoğulları, Matthew Lawhead, Daniel Klee, Shiran Dudy, Melanie Fried-Oken, Barry Oken

摘要:

进行脑机接口(BCI)研究需要高技术和软件。为了加速BCI的开发和可访问性,值得关注开源和所需的工具。Python是一种著名的计算机语言,已成为许多研究和工程目的的首选语言。在这篇手稿中,我们介绍了BciPy,一个开源的,基于Python的软件,用于进行BCI研究。它的开发重点是使用事件相关电位(ERP)拼写接口恢复通信,然而,它可以用于其他非拼写和非ERP BCI范例。该系统的主要模块包括支持数据采集、数据查询、刺激呈现、信号处理、信号查看和建模、语言建模、任务构建和简单的图形用户界面(GUI)。

英文摘要:

There are high technological and software demands associated with conducting brain-computer interface (BCI) research. In order to accelerate the development and accessibility of BCI, it is worthwhile to focus on open-source and desired tooling. Python, a prominent computer language, has emerged as a language of choice for many research and engineering purposes. In this manuscript, we present BciPy, an open-source, Python-based software for conducting BCI research. It was developed with a focus on restoring communication using event-related potential (ERP) spelling interfaces, however, it may be used for other non-spelling and non-ERP BCI paradigms. Major modules in this system include support for data acquisition, data queries, stimuli presentation, signal processing, signal viewing and modeling, language modeling, task building, and a simple Graphical User Interface (GUI).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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