
Validity, Reliability, and Sensitivity of a 3D Vision Sensor-based Upper Extremity Reachable Workspace Evaluation in Neuromuscular Diseases
Author(s) -
Jay J. Han,
Gregorij Kurillo,
Richard T. Abresch,
Aliicorici,
Růžena Bajcsy
Publication year - 2013
Publication title -
plos currents
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 49
ISSN - 2157-3999
DOI - 10.1371/currents.md.f63ae7dde63caa718fa0770217c5a0e6
Subject(s) - workspace , physical medicine and rehabilitation , computer science , upper limb , wrist , range of motion , reliability (semiconductor) , computer vision , simulation , physical therapy , medicine , artificial intelligence , surgery , physics , power (physics) , quantum mechanics , robot
One of the major challenges in the neuromuscular field has been lack of upper extremity outcome measures that can be useful for clinical therapeutic efficacy studies. Using vision-based sensor system and customized software, 3-dimensional (3D) upper extremity motion analysis can reconstruct a reachable workspace as a valid, reliable and sensitive outcome measure in various neuromuscular conditions where proximal upper extremity range of motion and function is impaired.