DENOISING REKAMAN SINYAL ELEKTROKARDIOGRAM (EKG) MENGGUNAKAN ALGORITMA ITERATIVE THRESHOLD PADA SUBBAND WAVELET

TitleDENOISING REKAMAN SINYAL ELEKTROKARDIOGRAM (EKG) MENGGUNAKAN ALGORITMA ITERATIVE THRESHOLD PADA SUBBAND WAVELET
Publication TypeConference Paper
Year of Publication2008
AuthorsSoleh RM, Rizal A, Magdalena R
Conference NameSeminar Nasional Aplikasi Sains dan Teknologi 2008 – IST AKPRIND Yogyakarta
Date Published12/2008
Keywordsand hard thresholding, discrete wavelet transform, iterative threshold, wavelet sub band
Abstract

Electrocardiogram (ECG) is a form of signal produce by a heart muscle electrical activity. ECG
is an information record of heart condition taken with an electrode sited within the human body. ECG
signal is recorded with a measure of electrocardiograph equipment. In the process, an unwanted noise
often influence the signal, therefore it will resulting a difficult analyze in further progression. In this final
task is designed a filter to reduce any unwanted noise within ECG signal using a Discrete Wavelet
Transform. The ECG signal will be decomposed to produce Wavelet sub bands. Then, the analysis
between EKG signal and noise partition will be performed within every wavelet sub band using the
threshold value. For each sub band will be selected a threshold value using iterative threshold. And
then, every component which assumed as an unwanted noise will be deleted using hard thresholding.
The essential ECG signal is acquired

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