Journal of Rehabilitation Research & Development (JRRD)

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Volume 51 Number 7, 2014
   Pages 1165 — 1176

Abstract — Vision-based approach for long-term mobility monitoring: Single case study following total hip replacement

Elham Dolatabadi, MSc;1–3* Babak Taati, PhD, PEng;3–5 Alex Mihailidis, PhD, PEng1–4,6

1Intelligent Assistive Technology and Systems Lab and 2Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Canada; 3iDAPT Centre for Rehabilitation Research and 4Artificial Intelligence and Robotics, Toronto Rehabilitation Institute, Toronto, Canada; Departments of 5Computer Science and 6Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada

Abstract — This article presents a single case study on the feasibility of using a low-cost and portable vision-based system (a Microsoft Kinect sensor) to monitor changes in movement patterns before and after a total hip replacement surgery. The primary subject was an older male adult with total hip replacement who performed two different functional tasks: walking and sit-to-stand. The tasks were recorded with a Kinect multiple times, starting from 1 d before the surgery until 9 wk after the surgery. An automated algorithm has been developed to extract the important spatiotemporal characteristics from the video recorded functional tasks (walking and sit-to-stand). Statistical analysis was then performed by TryonC statistic to study changes in spatiotemporal characteristics between different stages before and after the surgery. The statistical analysis indicated significant difference and slight improvement between all measures from the presurgery to each postsurgery date. The study confirmed that the Kinect sensor and an automated algorithm have the potential to be integrated into a patient’s home to monitor changes in mobility during the recovery period.

Key words: balance, feasibility study, long-term monitoring, markerless vision-based system, Microsoft Kinect sensor, mobility, naturalistic follow-up, rehabilitation, sit-to-stand, spatiotemporal kinematics, total hip replacement, walking.

View HTML ¦ View PDF ¦ Contents Vol. 51, No.7

This article and any supplementary material should be cited as follows:
Dolatabadi E, Taati B, Mihailidis A. Vision-based approach for long-term mobility monitoring: Single case study following total hip replacement. J Rehabil Res Dev. 2014; 51(7):1165–76.
ResearcherID/ORCID: Alex Mihailidis, PhD: D-3759-2011; Elham Dolatabadi, MSc: L-7448-2014

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Last Reviewed or Updated  Thursday, November 13, 2014 12:24 PM

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