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Robotic Identification of Kinesthetic Deficits After Stroke
Author(s) -
Jennifer A. Semrau,
Troy M. Herter,
Stephen H. Scott,
Sean P. Dukelow
Publication year - 2013
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.113.002058
Subject(s) - medicine , stroke (engine) , kinesthetic learning , physical medicine and rehabilitation , identification (biology) , developmental psychology , mechanical engineering , psychology , engineering , botany , biology
Kinesthesia, the sense of body motion, is essential to proper control and execution of movement. Despite its importance for activities of daily living, no current clinical measures can objectively measure kinesthetic deficits. The goal of this study was to use robotic technology to quantify prevalence and severity of kinesthetic deficits of the upper limb poststroke.

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