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2015 | OriginalPaper | Chapter

22. SVD Analysis on Reduced 3-Lead ECG Data

Authors : Sibasankar Padhy, S. Dandapat

Published in: Advances in Communication and Computing

Publisher: Springer India

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Abstract

This paper presents synthesis of Electrocardiogram (ECG) leads from reduced set of leads. The Singular Value Decomposition (SVD) is used to train subject-specific all desired leads for minimum of three beat periods. Then, in the testing phase, only 3-leads are used to reconstruct all other leads. The singular value matrix of the reduced 3-lead data is transformed to a higher dimension using a transform matrix. For evaluation purpose, the proposed method is applied to a publicly available database. It contains number of 12-lead ECG recordings with different cardiac patients data. After synthesis of ECG data, the performance of the method is measured using percent correlation present between the original and synthesized data.

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Metadata
Title
SVD Analysis on Reduced 3-Lead ECG Data
Authors
Sibasankar Padhy
S. Dandapat
Copyright Year
2015
Publisher
Springer India
DOI
https://doi.org/10.1007/978-81-322-2464-8_22