Title of article
Interpretation ECG signals by using wavelet analysis
Author/Authors
Molavi-Arabshahi, Mahboubeh Department of Mathematics - Iran University of Science and Technology, Narmak, Tehran, Iran , Lashgari, Parastoo Department of Mathematics - Iran University of Science and Technology, Narmak, Tehran, Iran
Pages
9
From page
329
To page
337
Abstract
This paper deals with the processing one of the most important biological signals. Interpretation of data taken from cardiac monitoring reveals useful information about individual health. The main purpose of the paper is to use numerical methods to interpret the electrocardiogram signals more accurately and detection QRS complex. All the data used in this article is from the MITBIH database [1]. The basic functions of the wavelet transforms have been tested with 3th and 4th decomposition levels on 1000 data (10 seconds of normal and arrhythmia heart rate).
Keywords
Electrocardiogram , ECG signals , Wavelet , QRS complex
Journal title
International Journal of Nonlinear Analysis and Applications
Serial Year
2020
Record number
2606431
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