EKG De-noising using 1-D Wavelets Techniques

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Authors

Joshi, Manan
Patel, Sarosh
Hmurcik, Lawrence V.

Issue Date

2009-04-03

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Article

Language

en_US

Keywords

Health sciences , Engineering , Electrocardiogram , Waveform

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Abstract

The electrocardiogram (ECG or EKG) is a graphic recording or display of the time- variant voltages produced by the myocardium during the cardiac cycle. The P, QRS, and T waves reflect the rhythmic electrical depolarization and re-polarization of the myocardium associated with the contractions of the atria and ventricles. The electrocardiogram is generally used clinically in diagnosing various diseases and conditions associated with the heart. It also serves as a timing reference for other measurements. Hence its accurate measurement is a must. A normal EKG waveform consists of common mode noises such as dc electrode offset potential and 50 or 60 Hz ac-induced interference. This paper presents the study of filtering these noises using 1-Dimensional wavelets theory. Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuous and sharp spikes.

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© ASEE 2009

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ASEE

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