Evaluation of a head movement artifact removal method for EEG considering real-time prosessing

Kazuki Onikura, Keiji Iramina

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

3 Citations (Scopus)

Abstract

The present study proposes the method of removing head movement artifact for considering real-time processing and improving reliability of EEG under unconstrained measurement. In the proposed method, independent component analysis and high-pass filtering were used with a hybrid accelerometer, which was used for detecting components containing head movement artifact. To evaluate the proposed method, we measured EEG which included the artifact and P300 components. As a result, although EEG amplitude decreased, original P300 waveform appeared clearly. This result indicates that the proposed method is effective for removing head movement artifact while keeping EEG information.

Original languageEnglish
Title of host publicationBMEiCON 2015 - 8th Biomedical Engineering International Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391580
DOIs
Publication statusPublished - Feb 4 2016
Event8th Biomedical Engineering International Conference, BMEiCON 2015 - Pattaya, Thailand
Duration: Nov 25 2015Nov 27 2015

Other

Other8th Biomedical Engineering International Conference, BMEiCON 2015
CountryThailand
CityPattaya
Period11/25/1511/27/15

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Evaluation of a head movement artifact removal method for EEG considering real-time prosessing'. Together they form a unique fingerprint.

  • Cite this

    Onikura, K., & Iramina, K. (2016). Evaluation of a head movement artifact removal method for EEG considering real-time prosessing. In BMEiCON 2015 - 8th Biomedical Engineering International Conference [7399577] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BMEiCON.2015.7399577