Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder

P. N. Jadhav; D. Shanamugan; A. Chourasia; A. R. Ghole; A. Acharyya; G. Naik

doi:10.1109/EMBC.2014.6943977

Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder

P. N. Jadhav, D. Shanamugan, A. Chourasia, A. R. Ghole, A. Acharyya, G. Naik

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

58 Citations (Scopus)

Abstract

Autism Spectrum Disorder (ASD) is a neural development disorder affecting the information processing capability of the brain by altering how nerve cells and their synapses interconnect and organize. Electroencephalograph or EEG signals records the electrical activity of the brain from the scalp which can be utilized to identify and investigate the brain wave pattern which are specific to individuals with ASD. Therefore, the analysis of ASD can be done by scrutinizing the specific bands (Theta, Mu and Beta) of the EEG signal. However, EEG signals are mainly contaminated by Ocular (Eye-blink) and Myogenic artefacts which pose problems in EEG interpretation. In this paper an automated real-time method for detection and removal of Ocular and Myogenic artefacts for multichannel EEG signal is proposed which would enhance the diagnostic accuracy. The proposed methodology has been validated against 20 subjects from Caltech, Physionet, Swartz Center for Computational Neuroscience and the computed average correlation and regression are 0.7574 and 0.6992 respectively.

Original language	English
Title of host publication	Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014
Publisher	IEEE
Pages	1881-1884
Number of pages	4
ISBN (Print)	9781424479276
DOIs	https://doi.org/10.1109/EMBC.2014.6943977
Publication status	Published - 2014
Event	IEEE Engineering in Medicine and Biology Society. Annual Conference - Duration: 30 Apr 2015 → …

Publication series

Name
ISSN (Print)	1557-170X

Conference

Conference	IEEE Engineering in Medicine and Biology Society. Annual Conference
Period	30/04/15 → …

Keywords

autism spectrum disorders
diagnosis
electroencephalography

Access to Document

10.1109/EMBC.2014.6943977

Cite this

Jadhav, P. N., Shanamugan, D., Chourasia, A., Ghole, A. R., Acharyya, A., & Naik, G. (2014). Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder. In Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014 (pp. 1881-1884). IEEE. https://doi.org/10.1109/EMBC.2014.6943977

Jadhav, P. N. ; Shanamugan, D. ; Chourasia, A. et al. / Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder. Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014. IEEE, 2014. pp. 1881-1884

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title = "Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder",

abstract = "Autism Spectrum Disorder (ASD) is a neural development disorder affecting the information processing capability of the brain by altering how nerve cells and their synapses interconnect and organize. Electroencephalograph or EEG signals records the electrical activity of the brain from the scalp which can be utilized to identify and investigate the brain wave pattern which are specific to individuals with ASD. Therefore, the analysis of ASD can be done by scrutinizing the specific bands (Theta, Mu and Beta) of the EEG signal. However, EEG signals are mainly contaminated by Ocular (Eye-blink) and Myogenic artefacts which pose problems in EEG interpretation. In this paper an automated real-time method for detection and removal of Ocular and Myogenic artefacts for multichannel EEG signal is proposed which would enhance the diagnostic accuracy. The proposed methodology has been validated against 20 subjects from Caltech, Physionet, Swartz Center for Computational Neuroscience and the computed average correlation and regression are 0.7574 and 0.6992 respectively.",

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author = "Jadhav, {P. N.} and D. Shanamugan and A. Chourasia and Ghole, {A. R.} and A. Acharyya and G. Naik",

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publisher = "IEEE",

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booktitle = "Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014",

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Jadhav, PN, Shanamugan, D, Chourasia, A, Ghole, AR, Acharyya, A & Naik, G 2014, Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder. in Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014. IEEE, pp. 1881-1884, IEEE Engineering in Medicine and Biology Society. Annual Conference, 30/04/15. https://doi.org/10.1109/EMBC.2014.6943977

Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder. / Jadhav, P. N.; Shanamugan, D.; Chourasia, A. et al.
Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014. IEEE, 2014. p. 1881-1884.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Ghole, A. R.

AU - Acharyya, A.

AU - Naik, G.

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AB - Autism Spectrum Disorder (ASD) is a neural development disorder affecting the information processing capability of the brain by altering how nerve cells and their synapses interconnect and organize. Electroencephalograph or EEG signals records the electrical activity of the brain from the scalp which can be utilized to identify and investigate the brain wave pattern which are specific to individuals with ASD. Therefore, the analysis of ASD can be done by scrutinizing the specific bands (Theta, Mu and Beta) of the EEG signal. However, EEG signals are mainly contaminated by Ocular (Eye-blink) and Myogenic artefacts which pose problems in EEG interpretation. In this paper an automated real-time method for detection and removal of Ocular and Myogenic artefacts for multichannel EEG signal is proposed which would enhance the diagnostic accuracy. The proposed methodology has been validated against 20 subjects from Caltech, Physionet, Swartz Center for Computational Neuroscience and the computed average correlation and regression are 0.7574 and 0.6992 respectively.

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Jadhav PN, Shanamugan D, Chourasia A, Ghole AR, Acharyya A, Naik G. Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder. In Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014. IEEE. 2014. p. 1881-1884 doi: 10.1109/EMBC.2014.6943977

Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder

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