Abstract
We developed and evaluated an algorithm for classification of ECG leads in ambulatory records according to type of transient ischemic ST segment episodes using the Long- Term ST Database. The algorithm robustly generates ST level function in each ECG lead, tracks non-ischemic ST changes to construct the ST reference function and subtracts it from the ST level function to obtain the ST deviation function. Then the algorithm using statistical moment of the histogram of the ST deviation function given lead classifies the lead according to type of transient ischemic ST episodes (elevations, depressions). The algorithm correctly classified all 9 ECG leads with elevated and 89 out of 90 ECG leads with depressed transient ischemic ST episodes.
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Smrdel A (2004) Robustno avtomatsko odkrivanje prehodnih epizod segmenta ST v 24-urnih elektrokardiogramih. PhD Thesis, Faculty of Computer and Information Science, University of Ljubljana.
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© 2007 Springer-Verlag Berlin Heidelberg
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Smrdel, A., Jager, F. (2007). An algorithm for classification of ambulatory ECG leads according to type of transient ischemic episodes. In: Jarm, T., Kramar, P., Zupanic, A. (eds) 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007. IFMBE Proceedings, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73044-6_10
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DOI: https://doi.org/10.1007/978-3-540-73044-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73043-9
Online ISBN: 978-3-540-73044-6
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