Title
Assessment of gait nonlinear dynamics by inhomogeneous point-process models.
Abstract
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 physionet.org, 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.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6945232
EMBC
Keywords
Field
DocType
locomotor disability,nonstationary nongaussian time series,stochastic processes,nonlinear human gait dynamics,diseases,instantaneous polyspectral characterization,laguerre expansion,geriatrics,quadratic autoregressive inhomogeneous point-process linear models,instantaneous time domain features,physiological systems,physionet.org,wiener-volterra terms,aging disability,physiological models,autoregressive processes,physical discrete dynamical systems,natural systems,gait analysis,gait variability,time series,inherent nonlinear dynamics,mathematical framework,parkinson disease
Nonlinear system,Gait,Computer science,Control theory,Point process,Control engineering,Artificial intelligence,Time domain,Autoregressive model,Computer vision,Linear model,Dynamical systems theory,Gait (human)
Conference
Volume
ISSN
Citations 
2014
1557-170X
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Gaetano Valenza131448.21
luca citi216827.88
Riccardo Barbieri346070.50