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contributor authorChardon, Matthieu K.
contributor authorRymer, William Z.
contributor authorSuresh, Nina L.
date accessioned2020-03-12T18:40:17Z
date available2020-03-12T18:40:17Z
date issued2014
identifier issn1534-4320
identifier other6710177.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/966315?show=full
formatgeneral
languageEnglish
publisherIEEE
titleQuantifying the Deep Tendon Reflex Using Varying Tendon Indentation Depths: Applications to Spasticity
typeJournal Paper
contenttypeMetadata Only
identifier padid8000109
subject keywordsbiomechanics
subject keywordsbiomedical equipment
subject keywordsbiomedical measurement
subject keywordsindentation
subject keywordsmechanoception
subject keywordsmedical disorders
subject keywordsmuscle
subject keywordsneurophysiology
subject keywordsstandardisation
subject keywordsDTR assessment reliability improvement
subject keywordsDTR quantification
subject keywordsassessor dependence
subject keywordsbicep tendons
subject keywordsconsistent reflex response recording
subject keywordsdeep tendon reflex quantification
subject keywordshemiplegic stroke survivors
subject keywordsindentation depth tap controlled
subject keywordsindentation location passive mechanical properties
subject keywordsmedical device
subject keywordsmedical method
subject keywordsmodified Ashworth score
subject keywordsmuscle
identifier doi10.1109/TNSRE.2014.2299753
journal titleNeural Systems and Rehabilitation Engineering, IEEE Transactions on
journal volume22
journal issue2
filesize905651
citations1


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