Multirapid Serial Visual Presentation Framework for EEG-Based Target Detection
Joint Authors
Tong, Li
Zhang, Chi
Lin, Zhimin
Gao, Hui
Wang, Xiaojuan
Wu, Qunjian
Zeng, Ying
Yan, Bin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Target image detection based on a rapid serial visual presentation (RSVP) paradigm is a typical brain-computer interface system with various applications, such as image retrieval.
In an RSVP paradigm, a P300 component is detected to determine target images.
This strategy requires high-precision single-trial P300 detection methods.
However, the performance of single-trial detection methods is relatively lower than that of multitrial P300 detection methods.
Image retrieval based on multitrial P300 is a new research direction.
In this paper, we propose a triple-RSVP paradigm with three images being presented simultaneously and a target image appearing three times.
Thus, multitrial P300 classification methods can be used to improve detection accuracy.
In this study, these mechanisms were extended and validated, and the characteristics of the multi-RSVP framework were further explored.
Two different P300 detection algorithms were also utilized in multi-RSVP to demonstrate that the scheme is universally applicable.
Results revealed that the detection accuracy of the multi-RSVP paradigm was higher than that of the standard RSVP paradigm.
The results validate the effectiveness of the proposed method, and this method can provide a whole new idea in the field of EEG-based target detection.
American Psychological Association (APA)
Lin, Zhimin& Zeng, Ying& Gao, Hui& Tong, Li& Zhang, Chi& Wang, Xiaojuan…[et al.]. 2017. Multirapid Serial Visual Presentation Framework for EEG-Based Target Detection. BioMed Research International،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1134479
Modern Language Association (MLA)
Lin, Zhimin…[et al.]. Multirapid Serial Visual Presentation Framework for EEG-Based Target Detection. BioMed Research International No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1134479
American Medical Association (AMA)
Lin, Zhimin& Zeng, Ying& Gao, Hui& Tong, Li& Zhang, Chi& Wang, Xiaojuan…[et al.]. Multirapid Serial Visual Presentation Framework for EEG-Based Target Detection. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1134479
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134479