Abstract
According to cardiologists approximately only half of the existing (theoretically available) diagnostic information is extracted presently from ECG. This paper introduces a new parameter: Periodicity of ECG signal, PES. A method is suggested based on the SVD analysis to quantify the similarity of ECG cycles. The raw data are filtered and cycles are normalized preceding the SVD analysis. The ratio of the dominant basis vector and all other basis vectors is the suggested measure for the similarity. Recordings from patients after open chest surgery and from control subjects are analyzed.
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© 2010 International Federation for Medical and Biological Engineering
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Jobbágy, Á., Nagy, Á. (2010). Measure of Similarity of ECG Cycles. In: Bamidis, P.D., Pallikarakis, N. (eds) XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010. IFMBE Proceedings, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13039-7_5
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DOI: https://doi.org/10.1007/978-3-642-13039-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13038-0
Online ISBN: 978-3-642-13039-7
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