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Assessment of the e-AR sensor for gait analysis of Parkinson;s Disease patients | IEEE Conference Publication | IEEE Xplore

Assessment of the e-AR sensor for gait analysis of Parkinson;s Disease patients


Abstract:

This paper analyses gait patterns of patients with Parkinson;s Disease (PD) based on the acceleration data given by an e-AR sensor. Ten PD patients wearing the e-AR senso...Show More

Abstract:

This paper analyses gait patterns of patients with Parkinson;s Disease (PD) based on the acceleration data given by an e-AR sensor. Ten PD patients wearing the e-AR sensor walked along a 7m walkway and each session contained 16 repeated trials. An iterative algorithm has been proposed to produce robust estimations in the case of measurement noise and short-duration of gait signals. Step-frequency as a gait parameter derived from the estimated heel-contacts is calculated and validated using the CODA motion-capture system. Intersession variability of step-frequency for each patient and the overall variability across patients demonstrate a good agreement between estimations from the e-AR and CODA systems.
Date of Conference: 09-12 June 2015
Date Added to IEEE Xplore: 19 October 2015
Electronic ISBN:978-1-4673-7201-5

ISSN Information:

Conference Location: Cambridge, MA, USA

References

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