Results 21 to 30 of about 742,791 (250)

Nonlinear heart rate variability features for real-life stress detection. Case study : students under stress due to university examination [PDF]

, 2011
Background: This study investigates the variations of Heart Rate Variability (HRV) due to a real-life stressor and proposes a classifier based on nonlinear features of HRV for automatic stress detection.
Melillo Paolo, L. Pecchia, Bracale, Marcello, Pecchia, Leandro, Melillo, Paolo, M. Bracale, P. Melillo, Bracale Marcello, Marcello Bracale, Paolo Melillo, Leandro Pecchia, Pecchia Leandro   +11 more
core   +1 more source

The effect of signal acquisition and processing choices on ApEn values: Towards a “gold standard” for distinguishing effort levels from isometric force records [PDF]

, 2014
Approximate Entropy (ApEn) is frequently used to identify changes in the complexity of isometric force records with ageing and disease. Different signal acquisition and processing parameters have been used, making comparison or confirmation of results ...
Forrest, Sarah M., Challis, John H., Winter, Samantha L.   +2 more
core   +1 more source

Approximate entropy of network parameters [PDF]

, 2012
We study the notion of approximate entropy within the framework of network theory. Approximate entropy is an uncertainty measure originally proposed in the context of dynamical systems and time series. We first define a purely structural entropy obtained
Lacasa Saiz de Arce, Lucas, West, James, Teschendorff, Andrew, Severini, Simone   +3 more
core   +1 more source

Microgravity Spherical Droplet Evaporation and Entropy Effects

, 2023
Recent efforts to understand low-temperature combustion (LTC) in internal combustion engines highlight the need to improve chemical kinetic mechanisms involved in the negative temperature coefficient (aka cool flame) regime.
Depcik, Christopher
core   +1 more source

Challenging Recently Published Parameter Sets for Entropy Measures in Risk Prediction for End-Stage Renal Disease Patients

Entropy, 2017
Heart rate variability (HRV) analysis is a non-invasive tool for assessing cardiac health. Entropy measures quantify the chaotic properties of HRV, but they are sensitive to the choice of their required parameters.
Stefan Hagmair, Martin Bachler, Matthias C. Braunisch, Georg Lorenz, Christoph Schmaderer, Anna-Lena Hasenau, Lukas von Stülpnagel, Axel Bauer, Kostantinos D. Rizas, Siegfried Wassertheurer, Christopher C. Mayer   +10 more
doaj   +1 more source

Investigating the Predictability of Photovoltaic Power Using Approximate Entropy

Frontiers in Energy Research, 2021
The predictability concept of Photovoltaic (PV) power on the time series was presented and the approximate entropy algorithm and predictable coefficient were used to quantificationally analyze the predictability of PV power on time series, then the ...
Mao Yang, Kaixuan Wang, Yang Cui, Fan Feng, Xin Su, Chenglian Ma   +5 more
doaj   +1 more source

Acknowledgment to Reviewers of Entropy in 2020

, 2021
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Entropy maintains its standards for the high quality of its published papers [...
Entropy Editorial Office Entropy Editorial Office
core   +1 more source

On the Standardization of Approximate Entropy: Multidimensional Approximate Entropy Index Evaluated on Short-Term HRV Time Series

Complexity, 2018
Background. Nonlinear heart rate variability (HRV) indices have extended the description of autonomic nervous system (ANS) regulation of the heart.
Juan Bolea, Raquel Bailón, Esther Pueyo
doaj   +1 more source

On integrating size and shape distributions into a spatio-temporal information entropy framework [PDF]

, 2019
Understanding the structuration of spatio-temporal information is a common endeavour to many disciplines and application domains, e.g., geography, ecology, urban planning, epidemiology.
Christophe Claramunt, Claramunt, C., LEIBOVICI, Didier, Leibovici, D.G., Didier G. Leibovici, CLARAMUNT, Christophe   +5 more
core   +1 more source

Approximate Entropy Based Fault Localization and Fault Type Recognition for Non-solidly Earthed Network

Measurement Science Review, 2012
For non-solidly earthed network, the fault localization of single phase grounding fault has been a problem. A novel fault localization and fault type recognition method of single phase grounding fault based on approximate entropy is presented.
Pang Qingle, Liu Xinyun, Sun Bo, Ling Qunli   +3 more
doaj   +1 more source