Development of a Technology-assisted Measurement of Limb Motion during Stepping within a Clinical Context
Year: 2018
Type: dissertation
Abstract: Instrumented measurement of limb motion during clinical assessments of balance may augment the capacity of current models of rehabilitation to optimize clinical outcomes. The aim of the present study is to develop, optimize and evaluate the accuracy of a novel, optical approach to measure limb motion during stepping tasks. This approach includes an optical sensor and an event detection algorithm. Algorithm development and optimization provided an average positive detection rate of 74%, a negative detection rate of 19.6% and an overall ICC of 0.77. The accuracy analysis results provided a good overall correlation (ICC=0.75), excellent (ICC>0.98) when detecting movement onset and offset, and poor (0.275) for movement duration. The agreement using Bland-Altman analysis shows a median overall bias of 212 ms and a 95% CI of 2.859s for the optical approach in relation to Vicon. In conclusion, the optical approach demonstrated potential for the detection of movement during stepping.
Source: TSpace (University of Toronto)
Author: Anna Kah
Language: English
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3094186702