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

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

54 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	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of Publication	Chicago, IL
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1881-1884
Number of pages	4
ISBN (Electronic)	9781424479290
DOIs	https://doi.org/10.1109/EMBC.2014.6943977
Publication status	Published - 2014
Externally published	Yes
Event	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States Duration: 26 Aug 2014 → 30 Aug 2014

Publication series

Name	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Conference

Conference	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Country/Territory	United States
City	Chicago
Period	26/08/14 → 30/08/14

Keywords

Electroencephalography
Variable speed drives
Autism
Wavelet transforms
Real-time systems
Correlation

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10.1109/EMBC.2014.6943977Licence: In Copyright

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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 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1881-1884). Article 6943977 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. 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. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL : Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1881-1884 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

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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.",

keywords = "Electroencephalography, Variable speed drives, Autism, Wavelet transforms, Real-time systems, Correlation",

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

year = "2014",

doi = "10.1109/EMBC.2014.6943977",

language = "English",

series = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1881--1884",

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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 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., 6943977, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Institute of Electrical and Electronics Engineers Inc., Chicago, IL, pp. 1881-1884, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 26/08/14. 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.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: Institute of Electrical and Electronics Engineers Inc., 2014. p. 1881-1884 6943977 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

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

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AU - Jadhav, P. N.

AU - Shanamugan, D.

AU - Chourasia, A.

AU - Ghole, A. R.

AU - Acharyya, A.

AU - Naik, G.

PY - 2014

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N2 - 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.

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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KW - Variable speed drives

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CY - Chicago, IL

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Y2 - 26 August 2014 through 30 August 2014

ER -

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 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: Institute of Electrical and Electronics Engineers Inc. 2014. p. 1881-1884. 6943977. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). 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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Keywords

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