A classification for RSVP-BCI This repository contains code to improve the classification performance for RSVP-BCI by enhancing ERP features. These codes are for the paper “LDER: A classification framework based on ERP enhancement in RSVP task”. Users employing the code in a publication should cite this paper.

All codes were written in MATLAB 2018b “ERP_enhance_2” contains the code used to enhance ERP components “ERP_classification_Main” contains the code used to classify targets and non-targets by using STHCP method. This code implements the STHCP algorithm outlined in the following article. Users employing the code in a publication should cite this paper.

Cui Y, Xie S, Xie X, Zhang X and Liu X 2022 Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection Front. Comput. Neurosc. 16 (https://doi.org/10.3389/fncom.2022.1006361)

The other codes are functions contained in these two main methods.

Notes:

1. Our codes need to run based on the EEGLAB, which can be found at https://sccn.ucsd.edu/eeglab/download.php. Data need to be imported through eeglab and the format is N*T, before running “ERP_enhance_2”.
2. After running “ERP_enhance_2”, the data should be segmented into the format of NTS, and loaded in “ERP_classification_Main”.