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

Abstract: 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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Analysis and classification of ECG-waves and rhythms using circular statistics and vector strength ; volume:3 ; number:2 ; year:2017 ; pages:91-94 ; extent:4 ; Current directions in biomedical engineering ; 3, Heft 2 (2017), 91-94 (gesamt 4)

Contributors, Places and Time

• Creator: Janßen, Jan-Dirk ; Schanze, Thomas

Further information

• DOI: 10.1515/cdbme-2017-0020
• URN: urn:nbn:de:101:1-2023030713034161387469
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:47 AM CEST