18
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Recurrent Neural Network based Efficient Adaptive Filtering Technique for the Removal of Ocular Artefacts from EEG

, FIETE &
Pages 73-78 | Published online: 26 Mar 2015

REFERENCES

  • D G Girton & A J Kamiya. A simple on-line technique of removing eye movement artifacts from the EEG. Electroencephalography and clinical neurophysiology, vol 34. pp 212–218. 1973.
  • J S Barlow & A Remond, Eye movement artifact nulling in EEG's by multichannel on-line EOG subtraction, Electroencephalography and clinical neurophysiology, vol 52. pp 418–423. 1981.
  • E C Ifeachor, B W Jervis, E L Morris, E M Allen & N R Hudson. A new microcomputer-based on-line ocular artefact removal (OAR) system. Proc IEE. vol 133. no 5. pp 291–300. 1986.
  • P M Quilter, B B Macgillivray & D G Wadbrook. The removal of eye movement artefact from EEG signals using correlation techniques. IEE ConfPubl. vol 159, pp 93–100. 1977.
  • J C Woestenburg, M N Verabaten & J L Slangen. The removal of the eye-movement artefact from the EEG by regression analysis in the frequency domain. Biological psyhology. vol 16. pp 127–147. 1983.
  • G Gralton. M B H Coles & E Donchin, A new method for off-line removal of ocular artifact. Electroencephalography and clinical neurophysiology, vol 55, pp 468–484. 1983.
  • B Jervis, M Coelho & G Morgan. Effect of EEG responses of removing ocular artefacts by proportional EOG subtraction. Medical & Biological Engineering and Computing, vol 27. pp 480–490. September 1989.
  • P Sadasivan & D Narayana Dutt. ANC schemes for the enhancements of EEG signals in the presence of EOG artifacts. Computers and Biomedical Research, vol 29. pp 27–40. 1996.
  • W Philips, Adaptive noise removal from biomedical signals using warped polynomials. IEEE Trans on Biomedical Engineering, vol 43. pp 480–492. May 1996.
  • B Widrow, J R Glover, J M McCool, J Kaunitz, C S Williams, R H Hearn, J R Zeidler, E. Dong & R C Goodling. Adaptive noise cancellation: Principles and applications. IEEE Proc. vol 63. pp 639–952. Dec 1975.
  • E R Ferrara & B Widrow. Multichannel adaptive filtering for signal enhancement. IEEE Trans on Acoustics, speech and signal Processing, vol ASSP—29. pp 766–770. June 1981.
  • E R Ferrara & B Widrow. Fetal electrocardiogram enhancement by time sequenced adaptive filtering. IEEE Trans on Biomedical Engineering, vol BME-29, pp 458–460. June 1982.
  • J Chen, J Vandewalle, W Sansen, G Vantrappen & J Janssens. Multichannel adaptive enhancement of the Electrogastrogram. IEEE Trans on Biomedical Engineering, vol 37. pp 285–294. March 1990.
  • Q Xue. Y H Hu & W J Tompkins. Neural network-based adaptive matched filtering for QRS detection. IEEE Trans on Biomedical Engineering, vol 39. pp 317–329. April 1992.
  • C J James, M. T Hagan, R D Jones, P J Bones & G J Carrol. Multireference adaptive noise cancelling applied to the EEG. IEEE Trans on Biomedical Engineering, vol 44. pp 775–779. Aug 1997.
  • R J Williams & D Zipser. A learning algorithm for continually running fully recurrent neural networks. Neural computation, vol 1. pp 270–280. 1989.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.