Med Biol Eng Comput - Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy.

Tópicos

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Resumo

Complexity-based analyses may quantify abnormalities in heart rate variability (HRV). The aim of this study was to investigate the clinical and prognostic significances of dynamic HRV changes in patients with stress-induced cardiomyopathy Takotsubo syndrome (TS) by means of linear and nonlinear analysis. Patients with TS were included in study after complete noninvasive and invasive cardiovascular diagnostic evaluation and compared to an age and gender matched control group of healthy subjects. Series of R-R interval and of ST-T interval values were obtained from 24-h ECG recordings after digital sampling. HRV analysis was performed by 'range rescaled analysis' to determine the Hurst exponent, by detrended fluctuation analysis to quantify fractal long-range correlation properties, and by approximate entropy to assess time-series predictability. Short- and long-term fractal-scaling exponents were significantly higher in patients with TS in acute phases, opposite to lower approximate entropy and Hurst exponent, but all variables normalized in a few weeks. Dynamic HRV analysis allows assessing changes in complexity features of HRV in TS patients during the acute stage, and to monitor recovery after treatment, thus complementing traditional ECG and clinically analysis.

Resumo Limpo

complexitybas analys may quantifi abnorm heart rate variabl hrv aim studi investig clinic prognost signific dynam hrv chang patient stressinduc cardiomyopathi takotsubo syndrom ts mean linear nonlinear analysi patient ts includ studi complet noninvas invas cardiovascular diagnost evalu compar age gender match control group healthi subject seri rr interv stt interv valu obtain h ecg record digit sampl hrv analysi perform rang rescal analysi determin hurst expon detrend fluctuat analysi quantifi fractal longrang correl properti approxim entropi assess timeseri predict short longterm fractalsc expon signific higher patient ts acut phase opposit lower approxim entropi hurst expon variabl normal week dynam hrv analysi allow assess chang complex featur hrv ts patient acut stage monitor recoveri treatment thus complement tradit ecg clinic analysi

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