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Analysis of clinically important factors on the performance of advanced hydraulic, microprocessor-controlled exo-prosthetic knee joints based on 899 trial fittings
Author(s) -
Andreas Hahn,
Michael Lang,
Claudia Stuckart
Publication year - 2016
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000005386
Subject(s) - medicine , toileting , physical medicine and rehabilitation , logistic regression , physical therapy , stairs , gait , predictive power , preferred walking speed , gait analysis , regression analysis , activities of daily living , machine learning , computer science , philosophy , civil engineering , epistemology , engineering

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