Year: 2023
Type: dissertation
Abstract: Tele-rehabilitation (Tele-rehab) is changing the landscape of virtual care by redefining assessment and breaking accessibility barriers as a convenient substitute for conventional rehabilitation. The COVID-19 pandemic resulted in a rapid uptake of virtual care. Researchers and health professionals have started developing new tele-rehab platforms e.g., in the form of video conferencing. Albeit useful, these platforms still require the clinicians’ time and energy. To address these gaps, this thesis proposes a novel automatic tele-rehab system using vision technology. The performance of the proposed system in estimating the Range of Motion of upper extremities is compared to the Motion Capture (gold standard). The thesis also proposes two automatic tele-rehab systems that use vision technology to guide patients in executing their rehab exercises. The proposed systems can be potentially integrated into tele-rehab platforms to help patients with mobility impairments perform their rehab exercises correctly, avoid injuries, reduce pain and improve their recovery process.
Source: TSpace (University of Toronto)
Author: Barzegar Khanghah, Ali
Institution: University of Toronto
Language: English
Subfield: Rehabilitation
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7133016753