NDLI: Assessing the feasibility of classifying toe-walking severity in children with cerebral palsy using a sensorized shoe

Content Provider	IEEE Xplore Digital Library
Author	Mancinelli, C. Patel, S. Deming, L.C. Schmid, M. Patritti, B.L. Chu, J.J. Beckwith, J. Greenwald, R. Healey, J. Bonato, P.
Copyright Year	2009
Description	Author affiliation: Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston MA 02114, USA (Mancinelli, C.; Patel, S.; Deming, L.C.; Patritti, B.L.; Healey, J.) \|\| Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston MA 02114, USA and with the Universita¿ di Roma Tre, 00146 Rome, Italy (Schmid, M.) \|\| Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA (Bonato, P.) \|\| Simbex, Lebanon NH 03766 USA (Chu, J.J.; Beckwith, J.; Greenwald, R.)
Abstract	The clinical management of children with cerebral palsy (CP) relies on monitoring changes in the severity of gait abnormalities and on planning appropriate clinical interventions. Currently available technology does not make it possible to perform clinical gait evaluations as often as it would be desirable from a clinical standpoint. The use of wearable technology (e.g. a sensorized shoe) could provide an effective means to monitor changes in the severity of gait abnormalities in children with CP. In this paper, we studied a group of children with CP who showed an equinus (i.e. toe-walking) gait pattern, a gait abnormality often observed in children with CP. The aim of the study was to determine the feasibility of relying upon a sensorized shoe to assess changes in the severity of toe-walking. We demonstrated that it is possible to use features extracted from the center of pressure trajectory and ankle kinematics to predict the severity of toe-walking. Our results motivate the development and clinical testing of a sensorized shoe to assess changes in gait patterns that accompany the development, and the response to clinical interventions, of children with CP.
Starting Page	5163
Ending Page	5166
File Size	423445
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332733
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Birth disorders Footwear Pediatrics Performance evaluation Kinematics Performance analysis Biomedical monitoring Trajectory USA Councils Delay
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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