The way we walk can be a window into our health. Changes in gait—a person’s unique rhythm and movement patterns of walking—can signal neurological disorders, musculoskeletal conditions, and even cardiovascular disease. Traditionally, assessing gait required basic measures of step length or speed, often paired with observational insights. However, the field has taken a leap forward, thanks to advances in musculoskeletal (MSK) modeling.
A team of researchers from Khalifa University have reviewed these advances, providing a comprehensive overview of the different existing multibody modeling platforms and their potential practical applications. Muhammad Abdullah, Abdul Aziz Hulleck, Rateb Katmah, Dr. Kinda Khalaf and Dr. Marwan El-Rich published their review in the Journal of NeuroEngineering and Rehabilitation, a top 1% journal.
Musculoskeletal models simulate the intricate dynamics of the human body, from joint mechanics to muscle forces. By combining data from motion capture systems, force plates, and electromyography (EMG), these models create detailed quantifications and representations of how forces travel through bones, muscles, and joints during movement. Such precision allows researchers to explore not only how people walk but also why their gait patterns may deviate due to injury, aging, or disease.
“MSK modeling offers insights that go beyond what we simply observe and measure noninvasively,” Dr. El-Rich said. “These tools let us predict muscle forces, evaluate implant designs, and even optimize rehabilitation protocols.”