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Heart Rate Dynamics in Patients With Stable Angina Pectoris and Utility of Fractal and Complexity Measures

Mäkikallio, Timo H ; Ristimäe, Tiina ; Airaksinen, K.E.Juhani ; Peng, Chung-Kang ; Goldberger, Ary L ; Huikuri, Heikki V

The American journal of cardiology, 1998, Vol.81 (1), p.27-31 [Periódico revisado por pares]

Legacy CDMS: Elsevier Inc

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Título:
Heart Rate Dynamics in Patients With Stable Angina Pectoris and Utility of Fractal and Complexity Measures
Autor: Mäkikallio, Timo H ; Ristimäe, Tiina ; Airaksinen, K.E.Juhani ; Peng, Chung-Kang ; Goldberger, Ary L ; Huikuri, Heikki V
Assuntos: Aged ; Angina pectoris ; Angina Pectoris - diagnosis ; Angina Pectoris - physiopathology ; Biological and medical sciences ; Cardiology. Vascular system ; Circadian Rhythm ; Coronary heart disease ; Data Interpretation, Statistical ; Diagnosis, Differential ; Entropy ; Exercise Test ; Female ; Fractals ; Heart ; Heart Rate ; Humans ; Life Sciences (General) ; Male ; Measurement ; Medical research ; Medical sciences ; Middle Aged ; Regression Analysis ; Reproducibility of Results ; Retrospective Studies ; Severity of Illness Index ; Signal Processing, Computer-Assisted ; Space life sciences ; Time Factors
É parte de: The American journal of cardiology, 1998, Vol.81 (1), p.27-31
Notas: CDMS
Legacy CDMS
ObjectType-Article-1
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Descrição: Dynamic analysis techniques may uncover abnormalities in heart rate (HR) behavior that are not easily detectable with conventional statistical measures. However, the applicability of these new methods for detecting possible abnormalities in HR behavior in various cardiovascular disorders is not well established. Conventional measures of HR variability were compared with short-term (≤11 beats, α 1) and long-term (>11 beats, α 2) fractal correlation properties and with approximate entropy of RR interval data in 38 patients with stable angina pectoris without previous myocardial infarction or cardiac medication at the time of the study and 38 age-matched healthy controls. The short- and long-term fractal scaling exponents (α 1, α 2) were significantly higher in the coronary patients than in the healthy controls (1.34 ± 0.15 vs 1.11 ± 0.12 [p <0.001] and 1.10 ± 0.08 vs 1.04 ± 0.06 [p <0.01], respectively), and they also had lower approximate entropy (p <0.05), standard deviation of all RR intervals (p <0.01), and high-frequency spectral component of HR variability (p <0.05). The short-term fractal scaling exponent performed better than other heart rate variability parameters in differentiating patients with coronary artery disease from healthy subjects, but it was not related to the clinical or angiographic severity of coronary artery disease or any single nonspectral or spectral measure of HR variability in this retrospective study. Patients with stable angina pectoris have altered fractal properties and reduced complexity in their RR interval dynamics relative to age-matched healthy subjects. Dynamic analysis may complement traditional analyses in detecting altered HR behavior in patients with stable angina pectoris.
Editor: Legacy CDMS: Elsevier Inc
Idioma: Inglês

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Heart Rate Dynamics in Patients With Stable Angina Pectoris and Utility of Fractal and Complexity Measures

Mäkikallio, Timo H ; Ristimäe, Tiina ; Airaksinen, K.E.Juhani ; Peng, Chung-Kang ; Goldberger, Ary L ; Huikuri, Heikki V

Legacy CDMS: Elsevier Inc

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