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Quantifying the Deep Tendon Reflex Using Varying Tendon Indentation Depths: Applications to Spasticity

Author:
Chardon, Matthieu K.
,
Rymer, William Z.
,
Suresh, Nina L.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TNSRE.2014.2299753
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/966315
Keyword(s): biomechanics,biomedical equipment,biomedical measurement,indentation,mechanoception,medical disorders,muscle,neurophysiology,standardisation,DTR assessment reliability improvement,DTR quantification,assessor dependence,bicep tendons,consistent reflex response recording,deep tendon reflex quantification,hemiplegic stroke survivors,indentation depth tap controlled,indentation location passive mechanical properties,medical device,medical method,modified Ashworth score,muscle
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    Quantifying the Deep Tendon Reflex Using Varying Tendon Indentation Depths: Applications to Spasticity

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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?locale-attribute=en
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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