Online and automated reliable system design to remove blink and muscle artefact in EEG

Swati Bhardwaj, Pranit Jadhav, Bhagyaraja Adapa, Amit Acharyya, Ganesh R. Naik

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

36 Citations (Scopus)

Abstract

Electroencephalograms (EEGs) are progressively emerging as a significant measure of brain activity and are very effective tool for the diagnosis and treatment of mental and brain diseases and disorders including sleep apnea, Alzheimer's disease and Neurodevelopmental disorders. However, EEG signal is mixed with other biological signals including Ocular and Muscular artefacts making it difficult to extract the diagnostic features. Therefore, the contaminated EEG channels are often discarded by the medical practitioners resulting less accurate diagnosis. In this paper we propose a real-time low-complexity and reliable system design methodology to remove these artefacts and noise in an automated fashion to aid online diagnosis under the pervasive personalized healthcare set-up without the need of any reference electrode. The simulation and hardware performance of the proposed methodology are measured and compared in terms of correlation and regression statistics lying above 80% and 67% which are much improved over the state-of-the art methodologies.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Pages6784-6787
Number of pages4
ISBN (Electronic)9781424492718, 9781424492701
DOIs
Publication statusPublished - 5 Nov 2015
Externally publishedYes
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy
Duration: 25 Aug 201529 Aug 2015
Conference number: 37
https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2015
CountryItaly
CityMilan
Period25/08/1529/08/15
Internet address

Keywords

  • Blink and Muscular Artefacts
  • EEG
  • FastICA
  • Pervasive Healthcare

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  • Cite this

    Bhardwaj, S., Jadhav, P., Adapa, B., Acharyya, A., & Naik, G. R. (2015). Online and automated reliable system design to remove blink and muscle artefact in EEG. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6784-6787). IEEE. https://doi.org/10.1109/EMBC.2015.7319951