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Volumn 13, Issue 2, 2003, Pages 467-475

Interpretation of heart rate variability via detrended fluctuation analysis and αβ filter

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Indexed keywords


EID: 0041708246     PISSN: 10541500     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.1562051     Document Type: Article
Times cited : (97)

References (38)
  • 2
    • 0029988782 scopus 로고    scopus 로고
    • Task Force of the European Society of Cardiology, the North American Society of Pacing, and Electrophysiology, Eur. Heart J. 17, 354 (1996).
    • (1996) Eur. Heart J. , vol.17 , pp. 354
  • 19
    • 84958278144 scopus 로고    scopus 로고
    • note
    • Higher order polynomials may also be used in this fitting procedure. However, it has been reported that the inherent deviations at small scales appear to become stronger in higher order of DFA (Refs. 22 and 28). Additionally, crossovers produced by sinusoidal trends, like the ones analyzed in this contribution, are shifted to larger values for higher orders of detrending (Refs. 22 and 28). Finally, HRV data have been normally analyzed using linear detrending DFA which is the order that we employed in this study.
  • 20
    • 84958278145 scopus 로고    scopus 로고
    • note
    • In spite of recognizing that a has been the notation extensively used elsewhere to describe the fractal scaling exponent, we have used instead the notation αβ to avoid creating confusion with the αβ filter concept described in this paper.
  • 29
    • 84892435708 scopus 로고
    • It is important to mention that these deviations are not only intrinsic to DFA. For example, deviations from an expected scaling behavior at small scales have also been described in the context of Hurst analysis [B. B. Mandelbrot and J. R. Wallis, Water Resour. Res. 5, 321 (1969)].
    • (1969) Water Resour. Res. , vol.5 , pp. 321
    • Mandelbrot, B.B.1    Wallis, J.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.