Analysis and classification of ECG-waves and rhythms using circular statistics and vector strength

Autor: Janßen Jan-Dirk, Schanze Thomas
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Current Directions in Biomedical Engineering, Vol 3, Iss 2, Pp 91-94 (2017)
Druh dokumentu: article
ISSN: 2364-5504
DOI: 10.1515/cdbme-2017-0020
Popis: The most common way to analyse heart rhythm is to calculate the RR-interval and the heart rate variability. For further evaluation, descriptive statistics are often used. Here we introduce a new and more natural heart rhythm analysis tool that is based on circular statistics and vector strength. Vector strength is a tool to measure the periodicity or lack of periodicity of a signal. We divide the signal into non-overlapping window segments and project the detected R-waves around the unit circle using the complex exponential function and the median RR-interval. In addition, we calculate the vector strength and apply circular statistics as wells as an angular histogram on the R-wave vectors. This approach enables an intuitive visualization and analysis of rhythmicity. Our results show that ECG-waves and rhythms can be easily visualized, analysed and classified by circular statistics and vector strength.
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