Results 71 to 80 of about 618 (183)

Tissue multifractality and hidden Markov model based integrated framework for optimum precancer detection

, 2017
We report the application of a hidden Markov model (HMM) on multifractal tissue optical properties derived via the Born approximation-based inverse light scattering method for effective discrimination of precancerous human cervical tissue sites from the ...
Asima Pradhan, Das, Nandan K., Kurmi, Indrajit, Ghosh, Nirmalya, Panigrahi, Prasanta K., Das, Nandan Kumar, Pradhan, Asima, Nirmalya Ghosh, Sabyasachi Mukhopadhyay, Prasanta K. Panigrahi, Nandan K. Das, Indrajit Kurmi, Mukhopadhyay, Sabyasachi   +12 more
core   +1 more source

Investigating Stress During a Virtual Reality Game Through Fractal and Multifractal Analysis of Heart Rate Variability

Applied System Innovation
This article presents the process of creating a virtual reality (VR) game designed to assess the impact of stress on heart rate variability (HRV). The game features dynamic and challenging scenarios to induce stress responses, incorporating advanced 3D ...
Penio Lebamovski, Evgeniya Gospodinova
doaj   +1 more source

Monitoring the dynamics of exhausting exercises: the time-variability of acceleration [PDF]

, 2019
Fatigue has been related to changes in the time-variability properties of coordinative variables during an exhausting isometric exercise [1]. In this study we aimed to investigate the qualitative changes in acceleration (kinematic collective variable ...
Robert Hristovski, Pablo Vázquez, Natàlia Balagué, Lluc Montull   +3 more
core   +1 more source

Long-range correlations of soil water content time series under tillage and different cover crops in a semiarid vineyard. [PDF]

, 2020
We explored the suitability of multifractal detrended fluctuation analysis(MFDFA) to characterize the temporal dynamics of soil water content (SWC),we analysed the origin of the multifractality of time series of the dynamic ofSWC and we investigated how ...
Monreal, F. J. Caniego [0000-0002-1019-7156], Báez, C. García-Gutiérrez, Martínez, F. San José [0000-0002-6352-2530], Peregrina, F. [0000-0002-7621-7455]   +3 more
core   +1 more source

Alpha-Stable Distribution and Multifractal Detrended Fluctuation Analysis-Based Fault Diagnosis Method Application for Axle Box Bearings

Shock and Vibration, 2018
A railway vehicle’s key components, such as wheelset treads and axle box bearings, often suffer from fatigue failures. If these faults are not detected and dealt with in time, the running safety of the railway vehicle will be seriously affected.
Qing Xiong, Weihua Zhang, Yanhai Xu, Yiqiang Peng, Pengyi Deng   +4 more
doaj   +1 more source

Modified MF-DFA Model Based on LSSVM Fitting

Fractal and Fractional
This paper proposes a multifractal least squares support vector machine detrended fluctuation analysis (MF-LSSVM-DFA) model. The system is an extension of the traditional MF-DFA model.
Minzhen Wang, Caiming Zhong, Keyu Yue, Yu Zheng, Wenjing Jiang, Jian Wang   +5 more
doaj   +1 more source

Multifractal analysis of Bitcoin price dynamics

Journal of Business Economics and Management
This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators.
Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea   +3 more
doaj   +1 more source

A Comparison of Nonlinear Measures for the Detection of Cardiac Autonomic Neuropathy from Heart Rate Variability

Entropy, 2015
In this work we compare three multiscale measures for their ability to discriminate between participants having cardiac autonomic neuropathy (CAN) and aged controls. CAN is a disease that involves nerve damage leading to an abnormal control of heart rate,
David Cornforth, Herbert F. Jelinek, Mika Tarvainen   +2 more
doaj   +1 more source

Accuracy Comparison of MFDFA and MFDMA Based on Existence Probability of Multifractal Spectrum in Finite‐Length Cascade Data

In this study, the estimation accuracy of multifractal detrended fluctuation analysis (MFDFA) and multifractal detrending moving average (MFDMA) was compared using finite‐length cascade data generated by log‐normal and log‐gamma cascades.
Masafumi Uchida, Aoi Kondou
core   +1 more source

A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current

, 2017
The current paper presents a data-driven detrending technique allowing to smooth complex sinusoidal trends from a real-world electric load time series before applying the Detrended Multifractal Fluctuation Analysis (MFDFA). The algorithm we call Smoothed
Sadeghian, A, De Santis, E, Enrico De Santis, Alireza Sadeghian, Antonello Rizzi, Rizzi, A   +5 more
core   +1 more source