Literature DB >> 30102598

Correction to "Correlated Component Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface".

Yangsong Zhang, Daqing Guo, Fali Li, Erwei Yin, Yu Zhang, Peiyang Li, Qibin Zhao, Toshihisa Tanaka, Dezhong Yao, Peng Xu, Masaki Nakanishi.   

Abstract

In the above paper [1], a method has been proposed to use the correlated component analysis (CORCA) to learn spatial filters with multiple blocks of individual training data for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) scenario. In order to evaluate the performance of CORCA, the task-related component analysis (TRCA)-based method was used as a baseline method [2]. For a fair and convincing comparison, the MATLAB codes on the website (https://github.com/mnakanishi/TRCA-SSVEP) for implementing TRCA method provided by Dr. Masaki Nakanishi, the first author of [2], were used to take the role of the TRCA method. At that time, the proposed CORCA-based method outperforms the TRCA-based method [1].

Entities:  

Year:  2018        PMID: 30102598     DOI: 10.1109/TNSRE.2018.2851318

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  1 in total

Review 1.  Review of brain encoding and decoding mechanisms for EEG-based brain-computer interface.

Authors:  Lichao Xu; Minpeng Xu; Tzyy-Ping Jung; Dong Ming
Journal:  Cogn Neurodyn       Date:  2021-04-10       Impact factor: 3.473

  1 in total

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