Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing.

ABSTRACT:

Background

Traditional clinical assessments are used extensively in neurology; however, they can be coarse, which can also make them insensitive to change. Kinarm is a robotic assessment system that has been used for precise assessment of individuals with neurological impairments. However, this precision also leads to the challenge of identifying whether a given change in performance reflects a significant change in an individual's ability or is simply natural variation. Our objective here is to derive confidence intervals and thresholds of significant change for Kinarm Standard Tests™ (KST).

Methods

We assessed participants twice within 15 days on all tasks presently available in KST. We determined the 5-95% confidence intervals for each task parameter, and derived threshol

SUBMITTER: Simmatis LER 

PROVIDER: S-EPMC7331240 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature