Study of ABC and PSO algorithms as optimised adaptive noise canceller for EEG/ERP
by Mitul Kumar Ahirwal; Anil Kumar; Girish Kumar Singh
International Journal of Bio-Inspired Computation (IJBIC), Vol. 8, No. 3, 2016

Abstract: This paper explores the application of swarm intelligence techniques for optimisation of adaptive filters/noise cancellers used in field of biomedical signal processing. Working, application and results analysis with respect to electroencephalogram/event related potential (EEG/ERP) filtering have been presented from the tutorial perspective. Artificial bee colony (ABC) and particle swarm optimisation (PSO) algorithm have been selected to derive adaptive noise canceller, comparative study and analysis of performance is done among them. Variants of ABC and PSO such as modified rate ABC to control frequency of the perturbation, scaling factor ABC to control magnitude of the perturbation, constant weighted inertia PSO, linear decay inertia PSO, constriction factors inertia PSO, nonlinear inertia PSO, and dynamic inertia PSO has been used. Performance is measured in terms of signal-to-noise ratio, correlation, running time estimation and mean square error. Finally, the quality of resultant ERP is determined with kurtosis and skewness.

Online publication date: Wed, 18-May-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com