Scaling behaviour of heartbeat intervals obtained by wavelet-based time-series analysis

• Published in: Nature (London) Vol. 383; no. 6598; pp. 323 - 327
• Main Authors: Ivanov, Plamen Ch, Rosenblum, Michael G., Peng, C.-K., Mietus, Joseph, Havlin, Shlomo, Stanley, H. Eugene, Goldberger, Ary L.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 26.09.1996; Nature Publishing; Nature Publishing Group
• Subjects: Adult; Algorithms; Anatomy & physiology; Biological; Biological and medical sciences; Electrocardiography; Electrocardiography. Vectocardiography; Electrodiagnosis. Electric activity recording; Female; Fourier Analysis; Heart; Heart function; Heart Rate - physiology; Humanities and Social Sciences; Humans; Instability; Intervals; Investigative techniques, diagnostic techniques (general aspects); letter; Male; Mathematical analysis; Medical sciences; Middle Aged; Models, Cardiovascular; Models, Statistical; multidisciplinary; Reference Values; Science; Science (multidisciplinary); Sleep; Sleep Apnea Syndromes - physiopathology; Stability; Statistical analysis; Time; Time series; Wavelet transforms; Human; Heart rate; Electrodiagnosis; Wavelet transformation; Time series; Electrocardiography; Signal analysis

BIOLOGICAL time-series analysis is used to identify hidden dynamical patterns which could yield important insights into underlying physiological mechanisms. Such analysis is complicated by the fact that biological signals are typically both highly irregular and non-stationary, that is, their statist...