Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"detrended fluctuation analysis"”.
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Quantification of long-range power law correlations among healthy and pathologic subjects using detrended fluctuation analysis and multifractal detrended fluctuation analysis
… that under normal conditions, beat-to-beat fluctuation in heart rate display the kind of long-range correlations typically exhibited by the dynamical system far away from equilibrium. In contrast, heart rate time series from patients with severe congestive heart failure show a breakdown of …
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Characterization of hypertension through multivariate analysis utilizing linear and nonlinear methods
Analysis of blood pressure by nonlinear methods is vastly underutilized in current research. As such, 24-hour ambulatory blood pressure data from a small cohort of borderline hypertensive and normotensive subjects were analyzed using linear and nonlinear methods. Data were collected and provided by …
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A Measure of the Hurst Exponent Variability on Ground Based Magnetometer Data for Quiet and Active Magnetospheric Periods
… a Kp > 4 for not less than 24 consecutive hours. Detrended fluctuation analysis was employed to analyze 40 events. A monofractal approach was used to identify differences in the Hurst exponent of quiet and active events. No statistical differences were found using this approach since both types of …
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Adaptability of Human Gait: Exploring Red Noise Auditory Stimuli and Gait Fluctuation Patterns
… used for entraining gait. The study used Detrended Fluctuation Analysis to analyze gait variability, characterized by a Fractal Scaling Index (FSI), compared to auditory stimuli with FSI values between 1.00 to 1.25. Stepping strategy was analyzed through kinematics including cadence, …
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Anomalous statistical properties and fluctuations on multiple timescales
How can fluctuations in one-dimensional time series data be characterized and how can detected effects be decomposed into their dynamical origins or causes? In the context of these questions, a variety of problems are discussed and solutions are introduced. The first issue concerns the causes of …
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Detecting Transient Changes in Gait Using Fractal Scaling of Gait Variability in Conjunction with Gaussian Continuous Wavelet Transform
… effective in the clinical setting. Time-series analysis is used to analyze spatiotemporal variables in various populations. More recently, investigators have focused on gait complexity and the structure of spatiotemporal variations during walking and running. This study evaluated the use of …
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GNSS pre-correlation waveform feature extraction methods for multipath-afflicted signal classification
… the methods of Generalized Hurst Exponent, Detrended Fluctuation Analysis, Correlation Dimension, Fuzzy Entropy and Recurrence Period Density Entropy were proposed and tested in numerical simulations implemented in MATLAB. For testing and simulation purposes, the GPS L1 C/A signal structure …
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Correlation analysis between the EEG parameters and the parameters derived from ECG and Steering wheel related signals for driver drowsiness detection
… parameters were chosen for the correlation analysis, the EEG parameters are the alpha, beta and theta band power, the ECG parameters are heart rate, Heart Rate Variability (HRV) parameters and a parameter derived from Detrended Fluctuation Analysis (DFA), and the steering wheel related …
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Aging, Gait Variability, and Adaptability
… and nonlinear measures (sample entropy and detrended fluctuation analysis). Movement trajectory variability of the dominant knee angle, and vertical and medial-lateral positions of the pelvis were quantified using nonlinear measures (correlation dimension and local dynamic stability). The …
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Analysis and Modelling of Financial Logarithmic Return Data using Multifractal and Agent-Based Techniques
… facts of financial data. I then use Multifractal Detrended Fluctuation Analysis to study the empirical log returns for multifractal scaling. I find that extreme events are inimical to the scaling in highly leptokurtic data. I also find that the temporal correlations in the data are crucial to the …
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Gait Variability for Predicting Individual Performance in Military-Relevant Tasks
… of measures (spatiotemporal, joint kinematics, detrended fluctuation analysis, and Lyapunov exponents). During a novel obstacle course task, we found that frontal plane coordination variability of the hip-knee and knee-ankle joint couples exhibited strong association with rate of learning the …
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Modelado y análisis de movimientos oculares : aplicación al estudio del proceso de lectura
… lugar, se introduce el análisis "multifractal detrended fluctuation analysis"(MF-DFA) para es- timar el espectro multifractal de series temporales biomédicas, aplicándolo al análisis de señales de eye tracking. Se definen parámetros que caracterizan la dinámica de las series temporales y se …
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What can we learn from climate data? : Methods for fluctuation, time/scale and phase analysis
… and future evolution of climate. Time series analysis tries to link the observed data to the computer models: Using statistical methods, one estimates characteristic properties of the underlying climatological processes that in turn can enter the models. The quality of an estimation is …
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The Efficacy of Using Color In Sub-Threshold Vibration to Improve Older Adult Balance
… (Cambridge Electronic Design, UK). All the data analysis was done in MATLAB R2020b (MathWorks, MA, USA). The force and moment data were filtered to remove any motor vibration sway time series with a low pass filter at 20 Hz cut-off frequency. The center of pressure in the anteroposterior(AP) and …
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Predicting and identifying signs of criticality near neuronal phase transition
… (spiking death) transition points. Theoretical analysis of subthreshold neural behaviour then shifts to the anaesthetic-induced phase transition into unconsciousness using a mean-field model for interacting populations of excitatory and inhibitory neurons. The anaesthetic-induced changes are …
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Market Efficiency of African Stock Markets
… nonlinear methods maybe more appropriate in its analysis. Also these linear methods tested the efficiency of African markets in absolute form, however, an efficiency conclusion relying solely on absolute efficiency might be misleading because, stock markets become efficient with time due to …