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Investigation and comparison of some models for removing ocular artefacts from EEG signals

Part 1 Review of models and data analysis

  • Computing and Data Processing
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Abstract

An investigation of ocular artefacts (OAs) in the human electroencephalogram (EEG) to quantify the effectiveness of OA removal and to find the most effective model for removing OAs online is described. In Part 1, the models used in the investigation are described and the data analysed. The analysis showed that the ‘true’ EEG exhibited a high degree of serial correlation and so the ordinary least-squares (OLS) method employed to remove OA was inefficient. Efficient alternative methods based on autoregressive models of the ‘true’ EEG are discussed. It is also shown that the EOGs are linearly dependent making some of them redundant. In Part 2, the models are compared.

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Authors and Affiliations

  1. Department of Electrical & Electronic Engineering, Plymouth Polytechnic, Drake Circus, PL4 8AA, Plymouth, Devon, UK

    E. C. Ifeachor

  2. Department of Electrical & Electronic Engineering, Sheffield City Polytechnic, Pond Street, S1 1WB, Sheffield, UK

    B. W. Jervis

  3. Department of Neurosciences, Freedom Fields Hospital, Plymouth, Devon, UK

    E. M. Allen & N. R. Hudson

  4. Department of Engineering Science, University of Exeter, EX4 4QJ, Exeter, Devon, UK

    E. L. Morris

  5. Department of Mathematics & Statistics, Plymouth Polytechnic, Drake Circus, PL4 8AA, Plymouth, Devon, UK

    D. E. Wright

Authors
  1. E. C. Ifeachor
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  2. B. W. Jervis
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  3. E. M. Allen
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  4. E. L. Morris
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  5. D. E. Wright
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  6. N. R. Hudson
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Ifeachor, E.C., Jervis, B.W., Allen, E.M. et al. Investigation and comparison of some models for removing ocular artefacts from EEG signals. Med. Biol. Eng. Comput. 26, 584–590 (1988). https://doi.org/10.1007/BF02447495

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  • DOI: https://doi.org/10.1007/BF02447495

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