An Efficient One-Step Moment Balancing Algorithm for Computing Medial and Lateral Knee Compartment Contact Forces
Abstract The knee adduction moment is associated with the progression of knee osteoarthritis (OA). The adduction moment reflects the net effect of muscles, passive tissues and bone-on-bone contact forces. Medial compartment OA is more common than lateral and therefore our ability to correctly partition bone-on-bones forces across the medial and lateral compartments is key to understanding mechanical factors associated with the onset and progression of knee OA. We have used frontal plane moment balancing to resolve medial and lateral compartment forces. In this technical brief we present an alternate and more efficient methodology, the 1-step approach, linking the sagittal and frontal planes in the determination of muscle forces. Muscle forces are the dominant contributors to knee joint loading and therefore our ability to predict compartmental contact is dependent on our ability to predict muscle forces. The 1-step approach introduces a penalty function limiting total compressive force from acting in the lateral compartment whenever the internal moment is net abduction (i.e., external knee adduction). Total compressive force in the lateral compartment implies greater lateral loading compared to medial, and this is inconsistent with what we know about the knee adduction moment and medial-to-lateral force distribution during gait. An EMG-driven musculoskeletal model with modified hamstrings EMG was implemented to demonstrate the 1-step methodology and compare results with frontal plane moment balancing. The 1-step approach is a more efficient methodology that can be used in place of frontal plane moment balancing.