Title
Multifractal and Multiscale Detrended Fluctuation Analysis of Cardiovascular Signals: how the Estimation Bias Affects ShortTerm Coefficients and a Way to mitigate this Error
Abstract
The Detrended Fluctuation Analysis (DFA) is a popular method for quantifying the self-similarity of the heart rate that may reveal complexity aspects in cardiovascular regulation. However, the self-similarity coefficients provided by DFA may be affected by an overestimation error associated with the shortest scales. Recently, the DFA has been extended to calculate the multifractal-multiscale self-...
Year
DOI
Venue
2021
10.1109/EMBC46164.2021.9629623
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Keywords
DocType
Volume
Heart rate,Cardiovascular system,Estimation error,Fluctuations,Time series analysis,Fractals,Regulation
Conference
2021
ISSN
ISBN
Citations 
2694-0604
978-1-7281-1179-7
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Paolo Castiglioni100.34
Gianfranco Parati200.34
Andrea Faini300.34