A reliable brain-computer interface based on SSVEP using online recursive independent component analysis

Chiu Kuo Chen, Wai-Chi  Fang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a reliable brain-computer interface (BCI) based on a steady-state visually evoked potential (SSEVP) method using online recursive independent component analysis (ORICA) with denoising. The proposed system includes a visual stimulator, a front-end data acquisition module, an ORICA module, a power spectrum density (PSD)-based noise channel detection module, a denoising module, and an EEG reconstruction module, and a detection module using canonical correlation analysis (CCA). The system with the proposed PSD-based denoising mechanism is simulated using test patterns of 9-Hz and 10-Hz SSEVP-based EEG raw data stream with an 8-second sliding window length with a 1-second step size under the condition of 128 Hz sampling rate. The accuracy of the detection is approximately 88% and 95% hit rate for 9-Hz and 10-Hz test patterns, respectively.

Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2798-2801
Number of pages4
ISBN (Electronic)9781509028092
DOIs
StatePublished - 13 Sep 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
CountryKorea, Republic of
CityJeju Island
Period11/07/1715/07/17

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  • Cite this

    Chen, C. K., & Fang, W-C. (2017). A reliable brain-computer interface based on SSVEP using online recursive independent component analysis. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 2798-2801). [8037438] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037438