Determination of Atrial Premature Beat by Using Adaboost Algorithm and Fractional Derivative

Çetinkaya S. , Demir A.

10th International Conference on Image Processing, Wavelet and Applications (IWW2019), Kocaeli, Turkey, 18 - 20 October 2019, pp.60

  • Publication Type: Conference Paper / Summary Text
  • City: Kocaeli
  • Country: Turkey
  • Page Numbers: pp.60


Machine Learning is used in many areas around the world, including the healthcare industry. It can play an essential role in predicting the presence/ absence of heart arrhythmias. If this information is well predicted, it may help doctors to treat patients. One of the heart arrhythmias is atrial premature beat. In this study, we used fractional derivative and Adaboost algorithm to determine the atrial premature beat. The data used in the study were taken from MIT-BIH arrhythmia database. According to test results, the correct detection rate of Adaboost algorithm is 96.7 % to determine atrial premature beat.