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

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...

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Bibliographic Details
Published inComputers in Cardiology pp. 665 - 668
Main Authors Domitrovich, P.P., Stein, P.K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Frequency domain analysis
Heart rate
Heart rate variability
Hospitals
Neural networks
Paramagnetic resonance
Rhythm
Senior citizens
Spectral analysis
Testing
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Summary: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 (N/sub 1/N/sub 2/N/sub 3/N/sub 4/) is ESR if N/sub 1/N/sub 2//N/sub 2/N/sub 3/ and N/sub 2/N/sub 3//N/sub 3/N/sub 4/ 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.
ISBN:9780780377356
0780377354
ISSN:0276-6547
DOI:10.1109/CIC.2002.1166860