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Fractal dimension and approximate entropy of heart period and heart rate: awake versus sleep differences and methodological issues.
Clin Sci (Lond). 1998 Sep; 95(3):295-301.CS

Abstract

1. Investigations that assess cardiac autonomic function include non-linear techniques such as fractal dimension and approximate entropy in addition to the common time and frequency domain measures of both heart period and heart rate. This article evaluates the differences in using heart rate versus heart period to estimate fractal dimensions and approximate entropies of these time series.2. Twenty-four-hour ECG was recorded in 23 normal subjects using Holter records. Time series of heart rate and heart period were analysed using fractal dimensions, approximate entropies and spectral analysis for the quantification of absolute and relative heart period variability in bands of ultra low (<0.0033 Hz), very low (0. 0033-0.04 Hz), low (0.04-0.15 Hz) and high (0.15-0.5 Hz) frequency.3. Linear detrending of the time series did not significantly change the fractal dimension or approximate entropy values. We found significant differences in the analyses using heart rate versus heart period between waking up and sleep conditions for fractal dimensions, approximate entropies and absolute spectral powers, especially for the power in the band of 0.0033-0.5 Hz. Log transformation of the data revealed identical fractal dimension values for both heart rate and heart period. Mean heart period correlated significantly better with fractal dimensions and approximate entropies of heart period than did corresponding heart rate measures.4. Studies using heart period measures should take the effect of mean heart period into account even for the analyses of fractal dimension and approximate entropy. As the sleep-awake differences in fractal dimensions and approximate entropies are different between heart rate and heart period, the results should be interpreted accordingly.

Authors+Show Affiliations

Yeragani VK
116-A, Veterans Affairs Medical Center, 4100 West Third Street, Dayton, OH 45428, USA.
Sobolewski E
No affiliation info available
Jampala VC
No affiliation info available
Kay J
No affiliation info available
Yeragani S
No affiliation info available
Igel G
No affiliation info available

MeSH

AdultAutonomic Nervous SystemComputer SimulationElectrocardiography, AmbulatoryEntropyFemaleFractalsHeartHeart RateHumansMaleSignal Processing, Computer-AssistedSleep

Pub Type(s)

Comparative Study
Journal Article
Research Support, U.S. Gov't, P.H.S.

Language

eng

PubMed ID

9730848

Citation

Yeragani, V K., et al. "Fractal Dimension and Approximate Entropy of Heart Period and Heart Rate: Awake Versus Sleep Differences and Methodological Issues." Clinical Science (London, England : 1979), vol. 95, no. 3, 1998, pp. 295-301.
Yeragani VK, Sobolewski E, Jampala VC, et al. Fractal dimension and approximate entropy of heart period and heart rate: awake versus sleep differences and methodological issues. Clin Sci (Lond). 1998;95(3):295-301.
Yeragani, V. K., Sobolewski, E., Jampala, V. C., Kay, J., Yeragani, S., & Igel, G. (1998). Fractal dimension and approximate entropy of heart period and heart rate: awake versus sleep differences and methodological issues. Clinical Science (London, England : 1979), 95(3), 295-301.
Yeragani VK, et al. Fractal Dimension and Approximate Entropy of Heart Period and Heart Rate: Awake Versus Sleep Differences and Methodological Issues. Clin Sci (Lond). 1998;95(3):295-301. PubMed PMID: 9730848.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Fractal dimension and approximate entropy of heart period and heart rate: awake versus sleep differences and methodological issues. AU - Yeragani,V K, AU - Sobolewski,E, AU - Jampala,V C, AU - Kay,J, AU - Yeragani,S, AU - Igel,G, PY - 1998/9/9/pubmed PY - 1998/9/9/medline PY - 1998/9/9/entrez SP - 295 EP - 301 JF - Clinical science (London, England : 1979) JO - Clin Sci (Lond) VL - 95 IS - 3 N2 - 1. Investigations that assess cardiac autonomic function include non-linear techniques such as fractal dimension and approximate entropy in addition to the common time and frequency domain measures of both heart period and heart rate. This article evaluates the differences in using heart rate versus heart period to estimate fractal dimensions and approximate entropies of these time series.2. Twenty-four-hour ECG was recorded in 23 normal subjects using Holter records. Time series of heart rate and heart period were analysed using fractal dimensions, approximate entropies and spectral analysis for the quantification of absolute and relative heart period variability in bands of ultra low (<0.0033 Hz), very low (0. 0033-0.04 Hz), low (0.04-0.15 Hz) and high (0.15-0.5 Hz) frequency.3. Linear detrending of the time series did not significantly change the fractal dimension or approximate entropy values. We found significant differences in the analyses using heart rate versus heart period between waking up and sleep conditions for fractal dimensions, approximate entropies and absolute spectral powers, especially for the power in the band of 0.0033-0.5 Hz. Log transformation of the data revealed identical fractal dimension values for both heart rate and heart period. Mean heart period correlated significantly better with fractal dimensions and approximate entropies of heart period than did corresponding heart rate measures.4. Studies using heart period measures should take the effect of mean heart period into account even for the analyses of fractal dimension and approximate entropy. As the sleep-awake differences in fractal dimensions and approximate entropies are different between heart rate and heart period, the results should be interpreted accordingly. SN - 0143-5221 UR - https://www.unboundmedicine.com/medline/citation/9730848/Fractal_dimension_and_approximate_entropy_of_heart_period_and_heart_rate:_awake_versus_sleep_differences_and_methodological_issues_ DB - PRIME DP - Unbound Medicine ER -