A new method to detect erratic sinus rhythm in RR-interval files generated from Holter recordings

Peter P. Domitrovich, P. K. Stein

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Episodes of erratic sinus rhythm (ESR), assumed to be as a high-degree of non-respiratory sinus arrhythmia with normal p-waves, are seen on Holter recordings in the elderly and cardiac patients. ESR increases heart rate variability (HRV) and may confound its predictive value. We hypothesized that a triplet of normal-to-normal (NN) intervals represented by (N1N2N3N4) is ESR if N1N2/N2N3 and N2N3/N3N4 are both outliers in the distribution of NN-interval ratios. The time spent in ESR in each ten-minute segment was visually estimated using a heart-rate tachogram of NN intervals (HRTACH) and compared with the calculated values. A total of 858 ten-minute segments in six randomly selected 24-Hour recordings of older adults were examined. A qualitative test of the algorithm yielded a positive predictive value of 0.83 and a negative predictive value of 0.87 for 552 positive tests. Results suggest that the method can identify subjects with and without ESR in RR-interval files.

Original languageEnglish
Pages (from-to)665-668
Number of pages4
JournalComputers in Cardiology
Volume29
StatePublished - Dec 1 2002
EventComputers in Cardiology 2002 - Memphis, TN, United States
Duration: Sep 22 2002Sep 25 2002

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