Detrended Fluctuation Analysis and Adaptive Fractal Analysis of Stride Time Data in Parkinson's Disease: Stitching Together Short Gait Trials

• Published in: PloS one Vol. 9; no. 1; p. e85787
• Main Authors: Kirchner, Marietta, Schubert, Patric, Liebherr, Magnus, Haas, Christian T.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 23.01.2014; Public Library of Science (PLoS)
• Subjects: Aged; Analysis; Biology; Biomechanical Phenomena; Biomechanics; Case-Control Studies; Clinical trials; Coefficient of variation; Disease control; Empirical analysis; Fractal analysis; Fractals; Frailty; Gait; Gait Disorders, Neurologic - diagnosis; Gait Disorders, Neurologic - etiology; Humans; Linear Models; Mathematical analysis; Mathematics; Medical research; Medicine; Middle Aged; Motor task performance; Movement disorders; Neurodegenerative diseases; Older people; Parameter estimation; Parameter identification; Parkinson Disease - complications; Parkinson Disease - physiopathology; Parkinson's disease; Posture; Quantiles; Scaling; Sequences; Social sciences; Software; Statistics, Nonparametric; Stitching; Studies; Time series; Walking; Walkways; Young Adult; Germany

Variability indicates motor control disturbances and is suitable to identify gait pathologies. It can be quantified by linear parameters (amplitude estimators) and more sophisticated nonlinear methods (structural information). Detrended Fluctuation Analysis (DFA) is one method to measure structural...