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 proceedingConference contribution

39 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 languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of PublicationChicago, IL
PublisherIEEE
Pages1881-1884
Number of pages4
ISBN (Electronic)9781424479290
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: 26 Aug 201430 Aug 2014

Publication series

Name2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Conference

Conference2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period26/08/1430/08/14

Keywords

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

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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). [6943977] (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). IEEE. https://doi.org/10.1109/EMBC.2014.6943977