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Performance measurement for brain-computer or brain-machine interfaces: a tutorial

机译:脑机或脑机接口的性能测量:教程

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摘要

Objective. Brain–computer interfaces (BCIs) have the potential to be valuable clinical tools. However, the varied nature of BCIs, combined with the large number of laboratories participating in BCI research, makes uniform performance reporting difficult. To address this situation, we present a tutorial on performance measurement in BCI research. Approach. A workshop on this topic was held at the 2013 International BCI Meeting at Asilomar Conference Center in Pacific Grove, California. This paper contains the consensus opinion of the workshop members, refined through discussion in the following months and the input of authors who were unable to attend the workshop. Main results. Checklists for methods reporting were developed for both discrete and continuous BCIs. Relevant metrics are reviewed for different types of BCI research, with notes on their use to encourage uniform application between laboratories. Significance. Graduate students and other researchers new to BCI research may find this tutorial a helpful introduction to performance measurement in the field.
机译:目的。脑机接口(BCI)有可能成为有价值的临床工具。但是,BCI的多样性以及参与BCI研究的大量实验室使统一的绩效报告变得困难。为了解决这种情况,我们提供了有关BCI研究中的性能度量的教程。方法。在2013年国际BCI会议上,在加利福尼亚州太平洋丛林市的Asilomar会议中心举行了有关此主题的研讨会。本文包含了研讨会成员的共识意见,并在接下来的几个月中通过讨论进行了完善,并提出了无法参加研讨会的作者的意见。主要结果。为离散和连续BCI开发了方法报告清单。对不同类型的BCI研究的相关指标进行了审查,并注意了它们的使用以鼓励实验室之间的统一应用。意义。 BCI研究的研究生和其他研究人员可能会发现本教程是该领域绩效评估的有用介绍。

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