Title :
Band-phase-randomized surrogate data reveal high-frequency chaos in heart rate variability
Author :
Li, Cheng ; Ding, Guang-Hong ; Wu, Guo-Qiang ; Poon, Chi-Sang
Author_Institution :
Harvard-MIT Div. of Health Sci. & Technol., Massachusetts Inst. of Technol., Cambridge, MA, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
We propose a new band-phase-randomized surrogate data method to evaluate the chaotic dynamics in the high (HF) and low frequency (LF) bands of heart rate variability (HRV) in healthy subjects. The chaotic strength of normal HRV as assessed by a noise titration assay completely vanished when its power spectrum was phase-randomized over the entire frequency band or the HF band alone, but not the LF band alone. This finding confirms recent evidence that chaotic dynamics in normal HRV is ascribable mainly to the HF component, or respiratory sinus arrhythmia.
Keywords :
chaos; electrocardiography; medical signal processing; nonlinear dynamical systems; HRV high frequency band; HRV low frequency band; band-phase-randomized surrogate data; chaotic dynamics; heart rate variability; high frequency chaos; noise titration assay; respiratory sinus arrhythmia; Cardiology; Chaos; Hafnium; Heart rate variability; Noise; Resonant frequency; Time series analysis; Adult; Algorithms; Arrhythmia, Sinus; Biomedical Engineering; Circadian Rhythm; Heart Rate; Humans; Models, Statistical; Nonlinear Dynamics; Normal Distribution; Regression Analysis; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626061