Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Nonlinear methods most applied to heart-rate time series: A review
T Henriques, M Ribeiro, A Teixeira, L Castro, L Antunes… - Entropy, 2020 - mdpi.com
The heart-rate dynamics are one of the most analyzed physiological interactions. Many
mathematical methods were proposed to evaluate heart-rate variability. These methods …
mathematical methods were proposed to evaluate heart-rate variability. These methods …
Fractal and multifractal time series
JW Kantelhardt - arxiv preprint arxiv:0804.0747, 2008 - arxiv.org
Data series generated by complex systems exhibit fluctuations on many time scales and/or
broad distributions of the values. In both equilibrium and non-equilibrium situations, the …
broad distributions of the values. In both equilibrium and non-equilibrium situations, the …
Multifractal detrended fluctuation analysis of nonstationary time series
JW Kantelhardt, SA Zschiegner… - Physica A: Statistical …, 2002 - Elsevier
We develop a method for the multifractal characterization of nonstationary time series, which
is based on a generalization of the detrended fluctuation analysis (DFA). We relate our …
is based on a generalization of the detrended fluctuation analysis (DFA). We relate our …
Fractal dynamics in physiology: alterations with disease and aging
AL Goldberger, LAN Amaral, JM Hausdorff… - Proceedings of the …, 2002 - pnas.org
According to classical concepts of physiologic control, healthy systems are self-regulated to
reduce variability and maintain physiologic constancy. Contrary to the predictions of …
reduce variability and maintain physiologic constancy. Contrary to the predictions of …
[ספר][B] Chaos and time-series analysis
JC Sprott - 2003 - academic.oup.com
This text provides an introduction to the exciting new developments in chaos and related
topics in nonlinear dynamics, including the detection and quantification of chaos in …
topics in nonlinear dynamics, including the detection and quantification of chaos in …
What is physiologic complexity and how does it change with aging and disease?
AL Goldberger, CK Peng, LA Lipsitz - Neurobiology of aging, 2002 - Elsevier
A defining but elusive feature of physiologic systems is their daunting complexity. This
complexity arises from the interaction of a myriad of structural units and regulatory feedback …
complexity arises from the interaction of a myriad of structural units and regulatory feedback …
Complex networks: Augmenting the framework for the study of complex systems
LAN Amaral, JM Ottino - The European physical journal B, 2004 - Springer
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics,
statistical physics, and network theory. We place particular emphasis on network theory--the …
statistical physics, and network theory. We place particular emphasis on network theory--the …
[ספר][B] Natural time analysis: the new view of time: precursory seismic electric signals, earthquakes and other complex time series
P Varotsos, NV Sarlis, ES Skordas - 2011 - books.google.com
This book deals with the theory and the applications of a new time domain, termed natural
time domain, that has been forwarded by the authors almost a decade ago (PA Varotsos, NV …
time domain, that has been forwarded by the authors almost a decade ago (PA Varotsos, NV …
A Poissonian explanation for heavy tails in e-mail communication
RD Malmgren, DB Stouffer, AE Motter… - Proceedings of the …, 2008 - pnas.org
Patterns of deliberate human activity and behavior are of utmost importance in areas as
diverse as disease spread, resource allocation, and emergency response. Because of its …
diverse as disease spread, resource allocation, and emergency response. Because of its …
From noise to multifractal cascades in heartbeat dynamics
PC Ivanov, LA Nunes Amaral, AL Goldberger… - … Journal of Nonlinear …, 2001 - pubs.aip.org
We explore the degree to which concepts developed in statistical physics can be usefully
applied to physiological signals. We illustrate the problems related to physiologic signal …
applied to physiological signals. We illustrate the problems related to physiologic signal …