VOG-enhanced ICA for removing blink and eye-movement artefacts from EEG

Mohammad Reza Haji Samadi; Zohreh Zakeri; Neil Cooke

doi:10.1109/BHI.2016.7455970

VOG-enhanced ICA for removing blink and eye-movement artefacts from EEG

Mohammad Reza Haji Samadi, Zohreh Zakeri, Neil Cooke

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

355 Downloads (Pure)

Abstract

The steady-state visual evoked potential (SSVEP) is reliable for many paradigms such as clinical neuroscience and brain computer interfaces (BCI), providing high information throughput with minimal between-person variations. However, Electrooculogram (EOG) artefacts in Electroencephalography (EEG) signal limit applications with dynamic SSVEP stimuli due to eye movement and blinks. Independent Component Analysis (ICA) is a successful method for removing EOG artefacts. We propose 'Blink VOG-ICA' (BVOG-ICA) - an enhanced ICA algorithm that uses eye tracker video-oculography (VOG) eye movement and blink detection information. It demonstrates improved performance compared to ICA variants Plochl and our previous VOG-ICA when evaluated on matched VOG and EEG data. SSVEP classification accuracy for the post-ICA clean EEG consequently improves 7% and 4% for static and dynamic SSVEP stimuli respectively, suggesting BVOG-ICA as a potentially reliable automatic EOG artefact removal method for SSVEP paradigms.

Original language	English
Title of host publication	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	603-606
Number of pages	4
ISBN (Electronic)	9781509024551
ISBN (Print)	9781509024551
DOIs	https://doi.org/10.1109/BHI.2016.7455970
Publication status	Published - 21 Apr 2016
Event	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States Duration: 24 Feb 2016 → 27 Feb 2016

Conference

Conference	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Country/Territory	United States
City	Las Vegas
Period	24/02/16 → 27/02/16

ASJC Scopus subject areas

Health Informatics
Health Information Management

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10.1109/BHI.2016.7455970

VOG-Enhanced_ICA_for_removing
Checked for eligibility: 06/12/2016
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Cite this

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title = "VOG-enhanced ICA for removing blink and eye-movement artefacts from EEG",

abstract = "The steady-state visual evoked potential (SSVEP) is reliable for many paradigms such as clinical neuroscience and brain computer interfaces (BCI), providing high information throughput with minimal between-person variations. However, Electrooculogram (EOG) artefacts in Electroencephalography (EEG) signal limit applications with dynamic SSVEP stimuli due to eye movement and blinks. Independent Component Analysis (ICA) is a successful method for removing EOG artefacts. We propose 'Blink VOG-ICA' (BVOG-ICA) - an enhanced ICA algorithm that uses eye tracker video-oculography (VOG) eye movement and blink detection information. It demonstrates improved performance compared to ICA variants Plochl and our previous VOG-ICA when evaluated on matched VOG and EEG data. SSVEP classification accuracy for the post-ICA clean EEG consequently improves 7\% and 4\% for static and dynamic SSVEP stimuli respectively, suggesting BVOG-ICA as a potentially reliable automatic EOG artefact removal method for SSVEP paradigms.",

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booktitle = "3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016",

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Samadi, MRH, Zakeri, Z & Cooke, N 2016, VOG-enhanced ICA for removing blink and eye-movement artefacts from EEG. in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455970, Institute of Electrical and Electronics Engineers (IEEE), pp. 603-606, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24/02/16. https://doi.org/10.1109/BHI.2016.7455970

VOG-enhanced ICA for removing blink and eye-movement artefacts from EEG. / Samadi, Mohammad Reza Haji; Zakeri, Zohreh; Cooke, Neil.
3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 603-606 7455970.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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VOG-enhanced ICA for removing blink and eye-movement artefacts from EEG

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