Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals

BOSTANCI, Erkan; ERSOY, Ersin; Guzel, Mehmet

doi:10.55730/1300-0632.3905

Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals

Ersin ERSOY, (Ankara Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)

Erkan BOSTANCI, (Ankara Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)

Mehmet Serdar GÜZEL (Ankara Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)

Turkish Journal of Electrical Engineering and Computer Sciences

3 0

Yıl: 2022 Cilt: 30 Sayı: 5 Sayfa Aralığı: 1788 - 1803 Metin Dili: İngilizce DOI: 10.55730/1300-0632.3905 İndeks Tarihi: 08-12-2022

Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals

Öz:

The number of people who die due to cardiovascular diseases is quite high. In our study, ECG (electrocar- diogram) signals were divided into segments and waves based on temporal boundaries. Signal similarity methods such as convolution, correlation, covariance, signal peak to noise ratio (PNRS), structural similarity index (SSIM), one of the basic statistical parameters, arithmetic mean and entropy were applied to each of these sections. In addition, a square error-based new approach was applied and the difference of the signs from the mean sign was taken and used as a feature vector. The obtained feature vectors are used in the artificial bee colony algorithm; whose fitness function is a multilayer perceptron neural network. It has been shown that the hybrid system we have developed achieves high classification accuracy by selecting the most appropriate parameters for the detection of arrhythmia from ECG signals.

Anahtar Kelime: ECG artificial bee colony artificial neural network machine learning optimization feature selection arrhythmia

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	ERSOY E, BOSTANCI E, Guzel M (2022). Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. , 1788 - 1803. 10.55730/1300-0632.3905
Chicago	ERSOY Ersin,BOSTANCI Erkan,Guzel Mehmet Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. (2022): 1788 - 1803. 10.55730/1300-0632.3905
MLA	ERSOY Ersin,BOSTANCI Erkan,Guzel Mehmet Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. , 2022, ss.1788 - 1803. 10.55730/1300-0632.3905
AMA	ERSOY E,BOSTANCI E,Guzel M Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. . 2022; 1788 - 1803. 10.55730/1300-0632.3905
Vancouver	ERSOY E,BOSTANCI E,Guzel M Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. . 2022; 1788 - 1803. 10.55730/1300-0632.3905
IEEE	ERSOY E,BOSTANCI E,Guzel M "Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals." , ss.1788 - 1803, 2022. 10.55730/1300-0632.3905
ISNAD	ERSOY, Ersin vd. "Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals". (2022), 1788-1803. https://doi.org/10.55730/1300-0632.3905

APA	ERSOY E, BOSTANCI E, Guzel M (2022). Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. Turkish Journal of Electrical Engineering and Computer Sciences, 30(5), 1788 - 1803. 10.55730/1300-0632.3905
Chicago	ERSOY Ersin,BOSTANCI Erkan,Guzel Mehmet Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. Turkish Journal of Electrical Engineering and Computer Sciences 30, no.5 (2022): 1788 - 1803. 10.55730/1300-0632.3905
MLA	ERSOY Ersin,BOSTANCI Erkan,Guzel Mehmet Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. Turkish Journal of Electrical Engineering and Computer Sciences, vol.30, no.5, 2022, ss.1788 - 1803. 10.55730/1300-0632.3905
AMA	ERSOY E,BOSTANCI E,Guzel M Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. Turkish Journal of Electrical Engineering and Computer Sciences. 2022; 30(5): 1788 - 1803. 10.55730/1300-0632.3905
Vancouver	ERSOY E,BOSTANCI E,Guzel M Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals. Turkish Journal of Electrical Engineering and Computer Sciences. 2022; 30(5): 1788 - 1803. 10.55730/1300-0632.3905
IEEE	ERSOY E,BOSTANCI E,Guzel M "Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals." Turkish Journal of Electrical Engineering and Computer Sciences, 30, ss.1788 - 1803, 2022. 10.55730/1300-0632.3905
ISNAD	ERSOY, Ersin vd. "Development of a hybrid system based on ABC algorithm for selection of appropriate parameters for disease diagnosis from ECG signals". Turkish Journal of Electrical Engineering and Computer Sciences 30/5 (2022), 1788-1803. https://doi.org/10.55730/1300-0632.3905