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Phase asymmetry of heart rate variability signal
journal contribution
posted on 2015-01-14, 00:00 authored by Chandan KarmakarChandan Karmakar, A H Khandoker, M PalaniswamiHeart rate asymmetry (HRA) is considered as a physiological phenomenon in healthy subjects. In this article, we propose a novel HRA index, Slope Index (SI), to quantify phase asymmetry of heart rate variability (HRV) system. We assessed the performance of proposed index in comparison with conventional (Guzik's Index (GI) and Porta's Index (PI)) HRA indices. As illustrative examples, we used two case studies: (i) differentiate physiologic RR series from synthetic RR series; and (ii) discriminate arrhythmia subjects from Healthy using beat-to-beat heart rate time series. The results showed that SI is a superior parameter than GI and PI for both case studies with maximum ROC area of 0.84 and 0.82 respectively. In contrast, GI and PI had ROC areas {0.78, 0.61} and {0.50, 0.56} in two case studies respectively. We also performed surrogate analysis to show that phase asymmetry is caused by a physiologic phenomena rather than a random nature of the signal. In conclusion, quantification of phase asymmetry of HRV provides additional information on HRA, which might have a potential clinical use to discriminate pathological HRV in future.
History
Journal
Physiological measurementVolume
36Issue
2Pagination
303 - 314Publisher
IOP PublishingLocation
Bristol, Eng.Publisher DOI
eISSN
1361-6579Language
engPublication classification
C Journal article; C1.1 Refereed article in a scholarly journalCopyright notice
2015, IOP PublishingUsage metrics
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No categories selectedKeywords
heart rate variabilityheart rate asymmetryasymmetry indexPoincaré plotphase asymmetryScience & TechnologyLife Sciences & BiomedicineTechnologyBiophysicsEngineering, BiomedicalPhysiologyEngineeringPoincare plotMYOCARDIAL-INFARCTIONPERIOD VARIABILITYRR INTERVALSTIME-SERIESIRREVERSIBILITYHEALTHYDYNAMICSFAILURETERM
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