Modified fuzzy-neuro generalized learning vector quantization for early detection of arrhytmias

M. Ali Akbar, M. Eka Suryana, Elly Matul Imah, I. Md Agus, Wisnu Jatmiko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we modified Fuzzy-Neuro Generalized Learning Vector Quantization for Arrhythmia heart beat detection. The original algorithm was used triangle membership function. In this research we propose another membership function is Pi membership function, the Pi membership functionis a product of sigmoid membership function and z membership function was adapted from twin sigmoid membership function recognition rate of the classifier is able to be enhanced. The overall classification system are comprised of three components including data pre-processing, feature extraction and classification system. Data preprocessing related to how the initial data prepared, while for the feature extraction and selection, we using wavelet algorithm. From experiments show perform of a new extension can increasing the accuracy classifier compared with the original FNGLVQ with triangle membership function. The average accuracy of original FNGLVQ comparison with FNGLVQ with Pi membership function is 94.3% and 97.96%. Also precision and recall for both algorithm respectively, 93.49% and 86.23% for original FNGLVQ and 94.16% and 9.75% for FNGLVQ with Pi membership function.

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages293-299
Number of pages7
Publication statusPublished - 1 Dec 2012
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 1 Dec 20122 Dec 2012

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Conference

Conference2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
CountryIndonesia
CityDepok
Period1/12/122/12/12

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