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Validation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring

Author:
Jarchi, D. , Lo, B. , Ieong, E. , Nathwani, D. , Guang-Zhong Yang
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICLP.2014.6973286
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1004929
Keyword(s): Analytical models,Concrete,Conductors,Current measurement,Finite difference methods,Junctions,Lightning,FDTD method,PV system,SPD,current,withstand capability
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    Validation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring

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date accessioned2020-03-12T20:10:54Z
date available2020-03-12T20:10:54Z
date issued2014
identifier other6855629.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1004929?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleValidation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring
typeConference Paper
contenttypeMetadata Only
identifier padid8126335
subject keywordsAnalytical models
subject keywordsConcrete
subject keywordsConductors
subject keywordsCurrent measurement
subject keywordsFinite difference methods
subject keywordsJunctions
subject keywordsLightning
subject keywordsFDTD method
subject keywordsPV system
subject keywordsSPD
subject keywordscurrent
subject keywordswithstand capability
identifier doi10.1109/ICLP.2014.6973286
journal titleearable and Implantable Body Sensor Networks (BSN), 2014 11th International Conference on
filesize905021
citations0
contributor rawauthorJarchi, D. , Lo, B. , Ieong, E. , Nathwani, D. , Guang-Zhong Yang
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