RSI Day Webinar Series – Clinical Insights & Applying New Technology
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RSI Day Webinar Series – Clinical Insights & Applying New Technology

February 7 @ 10:00 am - 12:30 pm

10:15 AM – 10:45 PM

Welcome Message and Overview

Trevor Schell – Coordinator

10:45 AM – 11:15 AM

Osteoarthritis of the Carpometacarpal Joint (Thumb)

Cynthia Arnold – OHCOW Physician, Trevor Schell – OHCOW Ergonomist

CMC Joint Osteoarthritis is one of the most common forms of osteoarthritis affecting, 11% of men and 33% of women, yet the occupational risk factors are often overlooked for the development of this condition. This session examines the anatomy, causes, symptoms, diagnosis and prevention of this disorder.

11:15 AM – 12:00 PM

Osteoarthritis of the Hip

TBD – OHCOW Physician

Melissa Statham – OHCOW Ergonomist

Pravesh Jugnundan – OHCOW Physician, Melissa Statham – OHCOW Ergonomist

Osteoarthritis of the hip is one of the most common forms of osteoarthritis affecting up to 24.2% of the population. This session examines the anatomy, symptoms causes, and prevention of this disorder.

12:00 PM – 12:30 PM

Implementing Markerless Motion Capture Technology for Ergonomics Assessments

Dennis Larson – Postdoctoral Researcher

Recent advancements in computer vision technology are rapidly changing how we conduct musculoskeletal disorder (MSD) risk assessments in the field. Now with just the tap of a button on our smartphones, we can easily record videos of workplace activities that can uploaded and analyzed by computer vision tools to assess postures and movements involved in completing workplace tasks. However, computer vision may not be a one-size-fits-all solution and both researchers and companies are working to understand how to best implement and interpret results from these technologies to optimize their MSD prevention efforts. Drawing on the findings of a recent study we conducted at the University of Waterloo and other related research, we will provide evidence-based insights to guide best practices for integrating computer vision-based MSD assessment technology into workplace ergonomics and health and safety programs.

Q&A