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dc.contributor.authorSingh, Pushpendra-
dc.date.accessioned2023-03-23T12:05:40Z-
dc.date.available2023-03-23T12:05:40Z-
dc.date.issued2019-
dc.identifier.issn2194-5357-
dc.identifier.urihttp://lrcdrs.bennett.edu.in:80/handle/123456789/372-
dc.description.abstractAnalysis of electrocardiogram (ECG) signals helps us in detecting various abnormalities and diseases of heart. These signals commonly suffer from the problems of baseline wander and power-line interference. In this paper, we propose a new approach to eliminate such noises from ECG signals using the Fourier decomposition method. Simulation results are presented to show the efficacy of our method over previously used EMD-based methods. The proposed method has been shown to preserve shape characteristics of ECG signals of heart abnormalities.en_US
dc.publisherSpringer Verlagen_US
dc.subjectBaseline wander and Power-line interference, ECG signal, Empirical mode decomposition, Fourier decomposition method, Linearly Independent Non Orthogonal yet Energy Preserving (LINOEP) vectors.en_US
dc.titleBaseline wander and power-line interference removal from ECG signals using Fourier decomposition methoden_US
dc.typeArticleen_US
dc.indexedSWCen_US
Appears in Collections:Conference/Seminar Papers_ ECE

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