@inproceedings{2a43f78d6dd4479ea357a8deca5c8315,
title = "Modified ehlers' index for improved detection of heart rate asymmetry in poincar{\'e} plot",
abstract = "Heart rate asymmetry (HRA) is a quantifiable and visible phenomena in Poincar{\'e} plot which is defined with respect to line of identity (RR(i)=RR(i+1)). In general, third moment measure (skewness) is most appropriate for quantifying asymmetry of any time series signal. Existing Elhers' index (EI) is the third moment measure but it is defined based on the actual time series signal. The aim of this study is to redefine EI as EIR in view of stated HRA definition. The new index calculated as a third moment along the minor axis of the plot from the derived signal along this axis. To show the benefit of EIR over EI, we have calculated both index values of 54 Normal Sinus Rhythm (NSR) and 272 Arrhythmia subjects taken from Physionet NSR and Arrhythmia databases. The results showed that EIR (ROC area =0.80) discriminates NSR from Arrhythmia subjects better than EI (ROC area=0.59). This study could be useful for quantifying HRA in Poincar{\'e} plot and classifying different pathology conditions.",
author = "Karmakar, {Chandan K.} and Khandoker, {A. H.} and J. Gubbi and M. Palaniswami",
year = "2009",
language = "British English",
isbn = "9781424472819",
series = "Computers in Cardiology",
pages = "169--172",
booktitle = "Computers in Cardiology 2009, CinC 2009",
note = "36th Annual Conference of Computers in Cardiology, CinC 2009 ; Conference date: 13-09-2009 Through 16-09-2009",
}