期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：1
页码：154-159
出版社：International Journal of Soft Computing & Engineering
摘要：The main aim of this paper is to compare and analyze the performance of the PSO algorithm and the hybrid PSO output in determining the epileptic risk level for the given Electroencephalogram signal inputs. Various parameters like energy, variance, peaks, sharp and spike waves, duration, events and covariance are calculated from the EEG signals. The two optimization technique has been used for classifying the risk level of the given inputs and the efficacy of the above two methods have been analyzed and compared using mean square error and quality value. 20 patients input are taken for analysis in both methods in calculation of risk level. Comparing to PSO output hybrid PSO method is efficient based on performance index and quality value.
