Faculty of Computing and Engineering, Ulster University, Belfast, United Kingdom.
J Neural Eng. 2018 Apr;15(2):021001. doi: 10.1088/1741-2552/aa9817.
Rapid serial visual presentation (RSVP) combined with the detection of event-related brain responses facilitates the selection of relevant information contained in a stream of images presented rapidly to a human. Event related potentials (ERPs) measured non-invasively with electroencephalography (EEG) can be associated with infrequent targets amongst a stream of images. Human-machine symbiosis may be augmented by enabling human interaction with a computer, without overt movement, and/or enable optimization of image/information sorting processes involving humans. Features of the human visual system impact on the success of the RSVP paradigm, but pre-attentive processing supports the identification of target information post presentation of the information by assessing the co-occurrence or time-locked EEG potentials. This paper presents a comprehensive review and evaluation of the limited, but significant, literature on research in RSVP-based brain-computer interfaces (BCIs). Applications that use RSVP-based BCIs are categorized based on display mode and protocol design, whilst a range of factors influencing ERP evocation and detection are analyzed. Guidelines for using the RSVP-based BCI paradigms are recommended, with a view to further standardizing methods and enhancing the inter-relatability of experimental design to support future research and the use of RSVP-based BCIs in practice.
快速序列视觉呈现 (RSVP) 与事件相关脑反应的检测相结合，有助于从快速呈现给人类的图像流中选择包含的相关信息。通过脑电图 (EEG) 进行的非侵入性测量的事件相关电位 (ERP) 可以与图像流中的罕见目标相关联。通过使人类无需明显运动即可与计算机进行交互，并且/或者能够优化涉及人类的图像/信息分类过程，可以增强人机共生。人类视觉系统的特征会影响 RSVP 范式的成功，但非注意处理支持在呈现信息后识别目标信息，方法是评估 EEG 电位的共同出现或时间锁定。本文对基于 RSVP 的脑机接口 (BCI) 研究的有限但重要的文献进行了全面回顾和评估。基于 RSVP 的 BCI 的应用根据显示模式和协议设计进行分类，同时分析了影响 ERP 诱发和检测的一系列因素。建议使用基于 RSVP 的 BCI 范式的指南，以期进一步规范方法并增强实验设计的相关性，以支持未来的研究以及在实践中使用基于 RSVP 的 BCI。
