Researchers have developed computer simulations of joint and muscle movements that can teach us how to exercise smarter and prevent knee pain and further damage.
One in five Australians over the age of 45 suffer from painful and debilitating osteoarthritis, with the knee being the most commonly affected joint.
Dr Claudio Pizzolato from Griffith University is making computer avatars or ‘digital twins’ of individual patients to see how their muscles and joints work.
"We use computer simulations to understand how people use their muscles," says Dr Pizzolato, working at Griffith University’s Gold Coast Orthopaedic Research Alliance.
"Then we can help patients reduce stress and impact on their joints by learning how to move differently when they walk and exercise."
The digital twins are personalised using medical imaging and help researchers to understand how people use their muscles and how that affects the forces in their knees.
"We are able to calculate, in real-time, the forces acting on a person’s knee during walking and see on a computer screen what is happening inside their knee," says Dr Pizzolato.
"Using this information we can give patients a personalised exercise program so they can move in ways that are kinder to their joints."
Researchers hope this technology will not only reduce pain, but also prevent and slow down the progression of osteoarthritis and other musculoskeletal diseases.
Dr Pizzolato won the 2018 Fresh Science Judges’ Award (Queensland) for his work. Fresh Science is a national competition run by Science in Public, which helps early-career researchers find and share their stories of discovery.
Fresh Science Queensland is presented by Econnect Communication and supported by the Queensland Government, Queensland University of Technology, the University of Queensland and Griffith University.
- Video of real-time visualisation of the force inside the knee during walking using a personalised digital twin. The force increases or decreases depending on walking technique and how much muscles are activated.
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