Integrating dynamic stereo-radiography and surface-based motion data for subject-specific musculoskeletal dynamic modeling

• Published in: Journal of biomechanics Vol. 47; no. 12; pp. 3217 - 3221
• Main Authors: Zheng, Liying, Li, Kang, Shetye, Snehal, Zhang, Xudong
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 22.09.2014; Elsevier Limited
• Subjects: Accuracy; Activation; Adult; Algorithms; Architecture; Arthroplasty, Replacement, Knee; Biomechanical Phenomena; Conflicts of interest; Construction; Dynamic stereo-radiography; Dynamics; Electromyography; Fitness equipment; Humans; Integration; Kinematics; Knee; Knee Joint - diagnostic imaging; Knee Joint - physiology; Male; Models, Biological; Motion; Muscle, Skeletal - diagnostic imaging; Muscle, Skeletal - physiology; Musculoskeletal dynamic model; OpenSim; Patients; Physical Medicine and Rehabilitation; Radiography; Recording; Surgical implants; Tibiofemoral kinematics; Transplants & implants; OpenSim; Musculoskeletal dynamic model; Integration; Dynamic stereo-radiography; Tibiofemoral kinematics
• ISSN: 0021-9290; 1873-2380; 1873-2380
• DOI: 10.1016/j.jbiomech.2014.08.009

This manuscript presents a new subject-specific musculoskeletal dynamic modeling approach that integrates high-accuracy dynamic stereo-radiography (DSX) joint kinematics and surface-based full-body motion data. We illustrate this approach by building a model in OpenSim for a patient who participated in a meniscus transplantation efficacy study, incorporating DSX data of the tibiofemoral joint kinematics. We compared this DSX-incorporated (DSXI) model to a default OpenSim model built using surface-measured data alone. The architectures and parameters of the two models were identical, while the differences in (time-averaged) tibiofemoral kinematics were of the order of magnitude of 10° in rotation and 10mm in translation. Model-predicted tibiofemoral compressive forces and knee muscle activations were compared against literature data acquired from instrumented total knee replacement components (Fregly et al., 2012) and the patient׳s EMG recording. The comparison demonstrated that the incorporation of DSX data improves the veracity of musculoskeletal dynamic modeling.