FPGA implementation of EEG system-on-chip with automatic artifacts removal based on BSS-CCA method

Chia Ching Chou, Tsan Yu Chen, Wai-Chi  Fang

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

Abstract

This paper presents an automatic muscle artifacts removal system for multi-channel electroencephalogram (EEG) applications. Since EEG signals are very weak and highly sensitive to the environment, they are easily contaminated by noises and artifacts. To get clean and usable EEG signals for brain-computer interface (BCI) applications, we should acquire these signals from the human brain without artifacts. Recently, Blind Source Separation (BSS) technique based on Canonical Correlation Analysis (CCA) was proposed to reconstruct clean EEG signals from recordings by removing muscle artifacts components. To enhance the feasibility and reliability of BCIs, EEG processing systems used for BCIs should be more portable and signals should be acquired in real-time without artifacts. To match with these requirements, a hardware design of the artifacts removal system is adopted for artifacts extraction. The performance of eye-blink and muscle artifacts elimination is evaluated through the correlation coefficients between processed and pure EEG signals. The experimental results show that the average correlation coefficients for eye-blink and muscle elimination are 0.9341 and 0.8927 respectively.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages224-227
Number of pages4
ISBN (Electronic)9781509029594
DOIs
StatePublished - 1 Jan 2016
Event12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 - Shanghai, China
Duration: 17 Oct 201619 Oct 2016

Publication series

NameProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016

Conference

Conference12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
CountryChina
CityShanghai
Period17/10/1619/10/16

Keywords

  • Artifact
  • BSS-CCA
  • EEG
  • Muscle artifact removal

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  • Cite this

    Chou, C. C., Chen, T. Y., & Fang, W-C. (2016). FPGA implementation of EEG system-on-chip with automatic artifacts removal based on BSS-CCA method. In Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 (pp. 224-227). [7833772] (Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2016.7833772