Ateş Böceği Algoritmasını Kullanarak Kardiyak Aritmi Teşhisi

Elektrokardiyografik sinyallerdeki aritmileri otomatik olarak teşhis etmek ve kalp atım tipini sınıflandırma için yeni yöntemler geliştirilmektedir. Bu çalışmada, veri kümelemesi için Ateş böceği(AB) ve Bulanık C-Ortalama (BCO) algoritmalarını kullanarak K-En Yakın Komşuluk (K-EYK) yöntemiyle EKG aritmilerinin sınıflandırmasını gerçekleştirdik. Ateş böceği algoritmasının sonuçları, Bulanık C-Ortalama algoritması başarı sonuçları ile karşılaştırılmıştır. EKG verileri MITBIH veri tabanından elde edilmiştir. Ateş böceği ve Bulanık C-Ortalama algoritmalarını kullanarak, sınıflandırma doğruluk oranı sırasıyla %99,47 ve %99,54 olarak bulunmuştur.

Anahtar Kelimeler:

Ateş böceği algoritması, Bulanık C-Ortalama, Kardiyak Aritmi

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