Sadasivan, PK and Dutt, D Narayana (1996) ANC schemes for the enhancement of EEG signals in the presence of EOG artifacts. In: Computers and Biomedical Research, 29 (1). pp. 27-40.
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One of the most important applications of adaptive systems is in noise cancellation using adaptive filters. Ln this paper, we propose adaptive noise cancellation schemes for the enhancement of EEG signals in the presence of EOG artifacts. The effect of two reference inputs is studied on simulated as well as recorded EEG signals and it is found that one reference input is enough to get sufficient minimization of EOG artifacts. This has been verified through correlation analysis also. We use signal to noise ratio and linear prediction spectra, along with time plots, for comparing the performance of the proposed schemes for minimizing EOG artifacts from contaminated EEG signals. Results show that the proposed schemes are very effective (especially the one which employs Newton's method) in minimizing the EOG artifacts from contaminated EEG signals.
|Item Type:||Journal Article|
|Additional Information:||copyright of this article belongs to Elsevier Science.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||18 Jan 2010 10:10|
|Last Modified:||19 Sep 2010 05:53|
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