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All Journal JFA (Jurnal Fisika dan Aplikasinya)
Darmanto Darmanto
Jurusan Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Sebelas Maret, Jln. Ir. Sutami 36A Kentingan Surakarta 57126
Physics

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Optimasi Fuzzy Inference System pada Sistem Deteksi Fibrilasi Atrium dengan Fitur Elektrokardiogram: Kemas Farosi, Nuryani Nuryani, Darmanto Kemas Farosi Kemas Farosi; Nuryani Nuryani; Darmanto Darmanto
Jurnal Fisika dan Aplikasinya Vol 13 No 1 (2017): January 2017 Edition
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v13i1.2130

Abstract

A study about detection of atrial fibrillation using electrocardiogram and fuzzy inference system (FIS) has been succesfully conducted. Statistical features of RR interval is used and they are mean and standard deviation of RR interval. FIS architecture is optimized by variation number of features, FIS membership function and defuzzification methods. Based on experimental result, the best FIS architecture in FA detection is which uses both statistical features (RRave and RRstd) at once, with gaussian membership functions and mean of maxima deffuzification method. The best architecture performances are 81,55%, 82,12% and 81,93% in terms of sensitivity, specificity and accuracy, respectively.
Co-Authors Kemas Farosi Kemas Farosi Nuryani Nuryani