| Literature DB >> 30102598 |
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