Abstract
The methods analyzing heart rate variability (HRV) have to deal with non-stationary and noisy signals. We present a recently developed method, called phase-rectified signal averaging (PRSA), which facilitates the processing of such signals. It provides a higher sensitivity for the detection of small oscillations in the heartbeat tachogram and it allows the separate analyzes of oscillations related to heart rate decelerations and heart rate accelerations. Because of these properties, PRSA enables a better risk stratification in post myocardial infarction patients than the standard HRV parameters.
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© 2007 Springer-Verlag Berlin Heidelberg
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Schneider, R., Bauer, A., Kantelhardt, J., Barthel, P., Schmidt, G. (2007). Phase-Rectified Signal Averaging for the Detection of Quasi-Periodicities in Electrocardiogram. 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_11
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DOI: https://doi.org/10.1007/978-3-540-73044-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73043-9
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