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Assessment of gait nonlinear dynamics by inhomogeneous point-process models

Valenza, Gaetano and Citi, Luca and Barbieri, Riccardo (2014) 'Assessment of gait nonlinear dynamics by inhomogeneous point-process models.' 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. pp. 6973-6976. ISSN 1557-170X

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Point-process linear models of stride intervals have been recently proven to provide a unique characterization of human gait dynamics through instantaneous time domain features. In this study we propose novel instantaneous measures characterizing nonlinear gait dynamics using a quadratic autoregressive inhomogeneous point-process model recently devised for the instantaneous assessment of physiological, natural, and physical discrete dynamical systems. Our mathematical framework accounts for long-term information given by the past events of non-stationary non-Gaussian time series, expressed by a Laguerre expansion of the Wiener-Volterra terms. Here, we present a study of gait variability from data gathered from, including 15 recordings from young and elderly healthy volunteers, and patients with Parkinson's disease. Results show that our instantaneous polyspectral characterization provides an informative tracking of the inherent nonlinear dynamics of human gait, which is significantly affected by aging and locomotor disabilities.

Item Type: Article
Uncontrolled Keywords: Humans; Parkinson Disease; Gait; Linear Models; Normal Distribution; Aging; Heart Rate; Movement; Nonlinear Dynamics; Models, Theoretical; Adult; Aged; Middle Aged; Young Adult; Healthy Volunteers
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 23 Jan 2015 12:22
Last Modified: 15 Jan 2022 00:21

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