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EKG De-noising using 1-D Wavelets Techniques

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dc.contributor.author Joshi, Manan en_US
dc.contributor.author Patel, Sarosh en_US
dc.contributor.author Hmurcik, Lawrence V. en_US
dc.date.accessioned 2014-07-16T16:53:40Z
dc.date.available 2014-07-16T16:53:40Z
dc.date.issued 2009-04-03 en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/711
dc.description © ASEE 2009
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher ASEE en_US
dc.subject Health sciences en_US
dc.subject Engineering en_US
dc.subject Electrocardiogram en_US
dc.subject Waveform en_US
dc.title EKG De-noising using 1-D Wavelets Techniques en_US
dc.type Article en_US
dc.event.location Bridgeport, Connecticut, USA en_US
dc.event.name American Society for Engineering Education (ASEE 09) Zone I Conference en_US


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