The CHUV launches the Swiss BioMotion Lab

This laboratory, which specialises in the analysis and rehabilitation of movement, will enable large-scale research to be carried out and patients, particularly those suffering from osteoarthritis, to benefit from biomechanical data that until now has been used mainly in research.

Osteoarthritis is the most common joint disease, marked by the progressive breakdown of cartilage, leading to pain and loss of mobility. In severe cases, cartilage wear exposes bone, causing friction between bones. While prevalent among seniors, especially those over 65 (90% affected), it also impacts younger people, particularly those who are overweight or highly active. There is no cure, but treatments aim to alleviate pain, improve joint function, and slow the disease’s progression.

Gait Profiling at the Swiss BioMotion Lab

Since 2014, the Swiss BioMotion Lab has been analyzing the biomechanics of patients with knee osteoarthritis. Using advanced sensors and cameras, the lab measures various walking parameters to create gait profiles. These profiles have helped link walking characteristics to disease severity and bone and cartilage properties. Studies have shown that these characteristics can be altered for therapeutic benefits.

The lab’s expanded facilities will allow for larger studies, more detailed gait profiles, and more personalized rehabilitation. The aim is to integrate these findings into clinical practice, bridging the gap between research and patient care.

Unique Capabilities and Immersive Therapy

“The capabilities of the Swiss BioMotion Lab are unique,” say Prof. Brigitte Jolles-Haeberli and Dr. Julien Favre, the lab’s co-directors. Their advanced motion analysis tools replicate real-world walking conditions using a treadmill in front of an immersive screen showing scenes like Lake Geneva. The system provides real-time feedback to help patients adjust their walking patterns.

The team has developed algorithms to analyze the collected data, advancing osteoarthritis research and personalized medicine. Larger datasets, combined with AI analysis, could improve treatment models and even influence prosthesis design. “In addition to walking advice, movement data could help plan surgeries or influence prosthesis design,” Jolles-Haeberli and Favre explain. The lab is also developing simpler methods for use in medical practices.

Initially focused on lower limb osteoarthritis, the lab will now expand its research to upper limb osteoarthritis and back pain.

➡️ Source: Press Release
📸 CHUV 2024 | Alain Ganguillet