Abstract
The paper presents a modified version of principal component analysis of 3-channel Holter recordings that enables to construct one SVM linear classifier for the selected group of patients with arrhythmias. Our classifier has perfect generalization properties. We studied the discrimination of premature ventricular excitation from normal ones. The high score of correct classification (95%) is due to the orientation of the system of coordinates along the largest eigenvector of the normal heart action of every patient under study.
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Jankowski, S., Dusza, J.J., Wierzbowski, M., Oręziak, A. (2005). SVM Detection of Premature Ectopic Excitations Based on Modified PCA. In: Oliveira, J.L., Maojo, V., Martín-Sánchez, F., Pereira, A.S. (eds) Biological and Medical Data Analysis. ISBMDA 2005. Lecture Notes in Computer Science(), vol 3745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573067_18
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DOI: https://doi.org/10.1007/11573067_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29674-4
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