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ABSTRACT: Background
Upper limb impairments in a hemiparetic arm are clinically quantified by well-established clinical scales, known to suffer poor validity, reliability, and sensitivity. Alternatively, robotics can assess motor impairments by characterizing joint dynamics through system identification. In this study, we establish the merits of quantifying abnormal synergy, spasticity, and changes in joint viscoelasticity using system identification, evaluating (1) feasibility and quality of parametric estimates, (2) test-retest reliability, (3) differences between healthy controls and patients with upper limb impairments, and (4) construct validity.Methods
Forty-five healthy controls, twenty-nine stroke patients, and twenty cerebral palsy patients participated. Participants were se
SUBMITTER: van de Ruit M
PROVIDER: S-EPMC10210505 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature