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Proceedings of

International Conference on Advances in Information Technology AIT 2012

"CLINICAL ENTROPY BASED PCA FOR MULTI-LEAD ELECTROCARDIOGRAM SIGNALS"

A. MAHANTA L. N. SHARMA
DOI
106
Pages
24 - 28
Authors
2
ISBN
978-981-07-2683-6

Abstract: “In this work, an information theoretic approach is proposed for principal component analysis (PCA) of multi-lead electrocardiogram signals. Clinical information is evaluated from the inverse of the diagonal eigenvalue matrix. It is termed as Clinical Entropy (Centropy). Clinical entropy (Centropy) based PCA method shows improved performance compared to the conventional PCA. The proposed method exhibits superior signal quality with higher cross correlation (CC), lower percentage root mean square difference (PRD) and lower root mean square error (RMSE) values.”

Keywords: ECG, PRD, PCA, Entropy

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