STATISTICS OF EXTREME VARIATIONS OF RR HEARTBEAT INTERVALS

We performed an extreme value analysis of the heart beat fluctuations. We analyzed 24 h Holter ECG signals of 90 healthy individuals and 90 unhealthy individuals suffering of congestive heart failure (chf). Precisely, we studied separately the increment time series ΔRR corresponding to sleeping and...

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Bibliographic Details
Published inFluctuation and noise letters Vol. 11; no. 1; pp. 1240015 - 1240011
Main Authors PENNETTA, CECILIA, PALATELLA, LUIGI
Format Journal Article
LanguageEnglish
Published World Scientific Publishing Company 01.03.2012
Subjects
Extreme values
Fluctuation
Heart
Intervals
Noise
Statistics
Thresholds
Time series
extreme values
analysis of biomedical signals
Heart rate variability
heartbeat complexity
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Summary:We performed an extreme value analysis of the heart beat fluctuations. We analyzed 24 h Holter ECG signals of 90 healthy individuals and 90 unhealthy individuals suffering of congestive heart failure (chf). Precisely, we studied separately the increment time series ΔRR corresponding to sleeping and daily activities. We found strong differences in the median return times of positive high threshold values of the increments for healthy and nonhealthy individuals, during both daily and sleeping activities. Our results suggest that healthy individuals have more often than chf patients the tendency to suddenly slow their heartbeat rate.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0219-4775
1793-6780
DOI:10.1142/S0219477512400159