DocumentCode :
2378608
Title :
Assessing the feasibility of classifying toe-walking severity in children with cerebral palsy using a sensorized shoe
Author :
Mancinelli, Chiara ; Patel, Shyamal ; Deming, Lynn C. ; Schmid, Maurizio ; Patritti, Benjamin L. ; Chu, Jeffrey J. ; Beckwith, Jonathan ; Greenwald, Richard ; Healey, Jennifer ; Bonato, Paolo
Author_Institution :
Dept. of Phys. Med. & Rehabilitation, Harvard Med. Sch., Boston, MA, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
5163
Lastpage :
5166
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.
Keywords :
body area networks; brain; feature extraction; gait analysis; kinematics; medical disorders; medical signal processing; neurophysiology; paediatrics; signal classification; ankle kinematics; center of pressure trajectory; cerebral palsy children gait abnormalities monitoring; clinical gait evaluations; clinical interventions; clinical management; equinus gait pattern; feature extraction; gait pattern changes assessment; sensorized shoe clinical testing; toe-walking severity classification; wearable technology; Ankle Joint; Biomechanics; Cerebral Palsy; Child; Feasibility Studies; Gait Disorders, Neurologic; Humans; Monitoring, Ambulatory; Pain Measurement; Shoes; Toes; Walking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5332733
Filename :
5332733
Link To Document :
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