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A point process approach for analyzing gait variability dynamics

Ellis, RJ and Citi, L and Barbieri, R (2011) 'A point process approach for analyzing gait variability dynamics.' 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011. pp. 1648-1651. ISSN 1557-170X

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We present a novel statistical paradigm for modeling and analysis of gait variability which captures the natural point process structure of gait intervals and allows for definition of new measures instantaneous mean and standard deviation. We validate our model using two existing data sets from Results show an excellent model fit and yield insights into the underlying statistical structure behind human gait. Statistical analyses further corroborate previous findings of increased variability in gait at different speeds, both self-paced and metronome-paced, and reveal a significant increase in gait variability in Parkinson's subjects, as compared to young and elderly healthy subjects. These results indicate the validity of a point process approach to the analysis of gait, and the potential utility of incorporating instantaneous measures of gait into diagnostic or patient monitoring applications. © 2011 IEEE.

Item Type: Article
Uncontrolled Keywords: Humans; Parkinson Disease; Gait Disorders, Neurologic; Diagnosis, Computer-Assisted; Gait; Walking; Data Interpretation, Statistical; Sensitivity and Specificity; Reproducibility of Results; Algorithms
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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: 17 Mar 2014 14:49
Last Modified: 23 Sep 2022 18:26

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