scholarly journals Low Scaling Exponent during Arrhythmia: Detrended Fluctuation Analysis is a Beneficial Biomedical Computation Tool

10.5772/13275 ◽  
2011 ◽  
Author(s):  
Toru Yazawa ◽  
Yukio Shimo
Keyword(s):  
Detrended Fluctuation Analysis ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Detrended Fluctuation ◽  
Biomedical Computation

scholarly journals Early Warning Signals for Bearing Failure Using Detrended Fluctuation Analysis

2020 ◽  
Vol 10 (23) ◽  
pp. 8489
Author(s):  
Laith Shalalfeh ◽  
Ashraf AlShalalfeh
Keyword(s):  
Long Range ◽  
Early Warning ◽  
Detrended Fluctuation Analysis ◽  
Short Range ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Bearing Failure ◽  
Kendall’S Tau ◽  
Vibration Data ◽  
Detrended Fluctuation

Prognostic techniques play a critical role in predicting upcoming faults and failures in machinery or a system by monitoring any deviation in the operation. This paper presents a novel method to analyze multidimensional sensory data and use its characteristics in bearing health prognostics. Firstly, detrended fluctuation analysis (DFA) is exploited to evaluate the long-range correlations in ball bearing vibration data. The results reveal the existence of the crossover phenomenon in vibration data with two scaling exponents at the short-range and long-range scales. Among several data sets, applying the DFA method to vibration signals shows a consistent increase in the short-range scaling exponent toward bearing failure. Finally, Kendall’s tau is used as a ranking coefficient to quantify the trend in the scaling exponent. It was found that the Kendall’s tau coefficient of the vibration scaling exponent could provide an early warning signal (EWS) for bearing failure.

DETRENDED FLUCTUATION ANALYSIS OF CHROMATIN TEXTURE FOR DIAGNOSIS IN BREAST CYTOLOGY

Fractals ◽  
2002 ◽  
Vol 10 (01) ◽  
pp. 19-25 ◽  
Author(s):  
ANDREW J. EINSTEIN ◽  
HAI-SHAN WU ◽  
JUAN GIL
Keyword(s):  
Logistic Regression ◽  
Epithelial Cell ◽  
Epithelial Cells ◽  
Detrended Fluctuation Analysis ◽  
Breast Epithelial Cell ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Breast Epithelial Cells ◽  
Breast Epithelial ◽  
Detrended Fluctuation

Chromatin appearance in breast epithelial cells has been shown to have fractal properties, and detrended fluctuation analysis (DFA) is an effective method for characterizing the scaling in non-stationary fractal signals in terms of a scaling exponent. This study examines the use of DFA for the characterization of chromatin appearance in breast epithelial cells. Images of nuclei representative of fine-needle aspiration biopsies of the breast are characterized in terms of the scaling exponent for 19 patients with benign lesions and 22 patients with invasive ductal carcinoma. Characterizing patients by the standard deviations of the values of the scaling exponent for their representative nuclei, a statistically significant difference is noted between benign and malignant cases. This reflects that malignancies exhibit less variability in chromatin roughness than do benign cases. Previous logistic regression models for the diagnosis of breast epithelial cell lesions are improved upon by incorporating the standard deviation of the scaling exponent. Using leave-one-out cross-validation, the best logistic regression classifiers demonstrate a sensitivity of 95% and a specificity of 100%. A combination of DFA and lacunarity analysis is seen to provide the best approach to characterizing chromatin in breast epithelial cell nuclei.

The Application of Detrended Fluctuation Analysis in Rice Blast in the Early Warning

2014 ◽  
Vol 644-650 ◽  
pp. 6011-6014
Author(s):  
Xin Zhao ◽  
Yan Hong Huang Fu ◽  
Qian Sun ◽  
Lian Jun Yu
Keyword(s):  
Relative Humidity ◽  
Rice Blast ◽  
Detrended Fluctuation Analysis ◽  
Statistical Significance ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Temperature And Humidity ◽  
Detrended Fluctuation ◽  
Uniform Scaling ◽  
Scaling Index

In this paper, the 5-9 months of 2000-2011 temperature and humidity data, used the detrended fluctuation analysis, obtained how the two data series’ non-uniform scaling index changes with time. In order to comprehensive influence of temperature and relative humidity of the two meteorological factors, the temperature and humidity coefficient is introduced. We also proposed a new non-uniform scaling index taking into account the information of temperature and relative humidity, and discusses the possible correlation between temperature and humidity and rice blast. The preliminary results show, A long-range power-law correlation can be found in the time series of temperature and humidity. About 5-15 days before the occurrence of rice blast will appear anomalies of non-uniform scaling index. It reflects the rice blast made a difference of statistical significance to the characteristic of nonlinear system internal of temperature and humidity coefficient. It can predict the occurrence and prevalence of rice blast according to the abnormal changes of temperature and humidity coefficient scaling exponent.

scholarly journals IMPACT OF TANDEM REPEATS ON THE SCALING OF NUCLEOTIDE SEQUENCES

2006 ◽  
Vol 16 (10) ◽  
pp. 3103-3108
Author(s):  
RADHAKRISHNAN NAGARAJAN ◽  
MEENAKSHI UPRETI
Keyword(s):  
Long Range ◽  
Detrended Fluctuation Analysis ◽  
Tandem Repeats ◽  
Nucleotide Sequences ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Long Range Correlations ◽  
Reliable Estimation ◽  
Detrended Fluctuation

Techniques such as detrended fluctuation analysis (DFA) and its extensions have been widely used to determine the nature of scaling in nucleotide sequences. In this brief communication we show that tandem repeats which are ubiquitous in nucleotide sequences can prevent reliable estimation of possible long-range correlations. Therefore, it is important to investigate the presence of tandem repeats prior to scaling exponent estimation.

scholarly journals DETRENDED FLUCTUATION ANALYSIS OF THE TCP-RED ALGORITHM

2009 ◽  
Vol 19 (12) ◽  
pp. 4237-4245 ◽  
Author(s):  
XI CHEN ◽  
SIU-CHUNG WONG ◽  
CHI K. TSE ◽  
LJILJANA TRAJKOVIĆ
Keyword(s):  
Time Series ◽  
Long Range ◽  
Power Law ◽  
Detrended Fluctuation Analysis ◽  
Time Series Data ◽  
Analytical Models ◽  
Series Data ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Detrended Fluctuation

It has been observed that Internet gateways employing Transport Control Protocol (TCP) and the Random Early Detection (RED) control algorithm may exhibit instability and oscillatory behavior. Most control methods proposed in the past have been based on analytical models that rely on statistical measurements of network parameters. In this paper, we apply the detrended fluctuation analysis (DFA) method to analyze stability of the TCP-RED system. The DFA is used to analyze time-series data and generate power-law scaling exponents, which indicate the long-range correlations of the time series. We quantify the stability of the TCP-RED system by examining the variation of the DFA power-law scaling exponent when the system parameters are varied. We also study the long-range power-law correlations of TCP window periods.

scholarly journals Модифицированный метод флуктуационного анализа нестационарных процессов

2020 ◽  
Vol 46 (6) ◽  
pp. 47
Author(s):  
А.Н. Павлов ◽  
О.Н. Павлова ◽  
А.А. Короновский (мл.)
Keyword(s):  
Experimental Data ◽  
Blood Flow ◽  
Detrended Fluctuation Analysis ◽  
Quantitative Description ◽  
Fluctuation Analysis ◽  
Stationary Processes ◽  
Scaling Exponent ◽  
Long Range Correlations ◽  
Proposed Modification ◽  
Detrended Fluctuation

A method of detrended fluctuation analysis (DFA) is considered, which enables studying long-range correlations in non-stationary processes. Its modification is proposed that includes estimation of an additional quantity, namely, a scaling exponent characterizing the effects of non-stationarity in the experimental data. Using the dynamics of blood flow velocity in cerebral vessels as an example, the possibilities of a quantitative description of changes in the signal structure using the proposed modification of DFA are shown.

QUARTER POWER SCALING IN DYNAMICS: EXPERIMENTAL EVIDENCE FROM CELL BIOLOGY AND COGNITIVE PSYCHOLOGY

2001 ◽  
Vol 01 (03) ◽  
pp. L111-L116 ◽  
Author(s):  
VASILE V. MORARIU ◽  
AUREL COZA
Keyword(s):  
Cell Biology ◽  
Detrended Fluctuation Analysis ◽  
Human Subjects ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Random Generation ◽  
Present Evidence ◽  
Biological Variables ◽  
Different Types ◽  
Detrended Fluctuation

1/4 scaling of various biological variables in relation to body mass is universal in biology. Recent models provided evidence that such a scaling is a result of optimization of the processes in the system. We present evidence for 1/4 scaling in dynamical processes from two different types of experiments: fluctuation of the erythrocyte diameter and a task of random generation of series of numbers by human subjects. The time series obtained for different cells and human subjects respectively were analyzed by detrended fluctuation analysis. The exponents from different individuals presented a gaussian distribution centered at a scaling exponent equivalent to 1/4 for both types of experiments. While this proves the existence of 1/4 scaling in dynamics, it also shows that processes do not proceed equally efficient in various individuals. Consequently the deviation from the 1/4 scaling individuals can be used as a universal tool of investigation for the efficiency, or the optimization of various biological, psychological or other types of variables.

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