Ekstrasi Ciri Normal dan Arrhythmia Sinyal Jantung Menggunakan Metode Wavelet
Abstract
Many methods are used to extract and classify the heart signals, in this study the wavelet haar is used to extract the characteristics of heart signals and artifi cial neural networks Backpropagation for the classifi cation of heart signals. The data in this study were taken from Physiobank data that is MIT-BIH Arithmia Database and MIT-BIH normal Sinus Rhythm Database. The data is processed using the Haar wavelet method for characteristics and the result of the extraction will be used as the input of the classifi cation process. The classifi cation process used by the method of artifi cial neural network ackpropagation. The results of the research were found, using the extraction feature using Haar Wavelet and background using Backpropagation obtained an accuracy of 93%.
Moraref