Musculoskeletal modeling – Freedom to explore new horizons – dynamic modeling of musculoskeletal motion

Our cutting edge simulation technology offers you detailed, quantitative insights on the workings of muscles, joints and bones in the human body. Leading research institutes around the world use our products and services to achieve pivotal solutions in engineering, health technology, sports sciences and a host of other disciplines.

AnyBody Modeling System Applications

  • Musculoskeletal modeling and simulation
  • Human biomechanics analysis
  • Inbuilt human full-body model library (read more about the AnyBody Managed Model Repository)
  • Rehabilitation research
  • Functional outcome evaluation
  • Product development
  • Exoskeleton development
  • Human-device interaction
  • Amputee motion and prosthesis design
  • Gait analysis
  • Ground Reaction Force (GRF) prediction
  • Ergonomic and population studies
  • Ergonomic assessment with and without assistive devices
  • Activities of daily living
  • Sports analysis
  • Motion synthesis
  • Load case generation for Finite element (FE) models
  • Animal biomechanics

and more…

Selected AnyBody features

  • Detailed, fully editable musculoskeletal models
  • Motion capture data inputs
  • Motion synthesis without experimental data
  • Subject specific model customization
  • Joint kinematics calculation
  • Muscle, joint and ligament force predictions
  • Export predicted forces to Finite Element (FE) systems
  • Detailed implant behavior simulation
  • Tutorials for beginners
  • Highly customizable model setup
  • Human Biomechanics

See more features: Feature list

Using Motion Capture Data (MoCap) in AnyBody

See also: AnyBody for Motion Capture Lab

Selected musculoskeletal modeling Research

  • Esrafilian A, Halonen KS, Dzialo CM, Mannisi M, Mononen ME, Tanska P, Woodburn J, Korhonen RK, Andersen MS, (2023), “Effects of gait modifications on tissue-level knee mechanics in individuals with medial tibiofemoral osteoarthritis: A proof-of-concept study towards personalized interventions”. J. Orthop. Res., [ DOIWWW ]
  • Tzanetis P, Fluit R, de Souza K, Robertson S, Koopman B, Verdonschot N, (2023), “Pre-Planning the Surgical Target for Optimal Implant Positioning in Robotic-Assisted Total Knee Arthroplasty”. Bioengineering, vol. 10, pp. 543. [ DOIWWW ]
  • Ignasiak D, Behm P, Mannion AF, Galbusera F, Kleinstück F, Fekete TF, Haschtmann D, Jeszenszky D, Zimmermann L, Richner-Wunderlin S, Vila-Casademunt A, Pellisé F, Obeid I, Pizones J, Sánchez Pérez-Grueso FJ, Karaman MI, Alanay A, Yilgor Ç, Ferguson SJ, Loibl M, ESSG European Spine Study Group, (2022), “Association between sagittal alignment and loads at the adjacent segment in the fused spine: a combined clinical and musculoskeletal modeling study of 205 patients with adult spinal deformity”. Eur. Spine J., [ DOIWWW ]
  • De Pieri E, Cip J, Brunner R, Weidensteiner C, Alexander N, (2022), “The functional role of hip muscles during gait in patients with increased femoral anteversion”. Gait Posture, [ DOIWWW ]
  • Skals S, Jung MK, Damsgaard M, Andersen MS, (2017), “Prediction of ground reaction forces and moments during sports-related movements” [ DOIWWW ]
  • Bassani T, Stucovitz E, Qian Z, Briguglio M, Galbusera F, (2017), “Validation of the AnyBody full body musculoskeletal model in computing lumbar spine loads at L4L5 level” [ DOIWWW ]
  • Marra MA, Vanheule V, Fluit R, Koopman BH, Rasmussen J, Verdonschot N, Andersen MS, (2015), “A subject-specific musculoskeletal modeling framework to predict in vivo mechanics of total knee arthroplasty” [ DOI ]
  • Carbone V, Fluit R, Pellikaan P, van der Krogt MM, Janssen D, Damsgaard M, Vigneron L, Feilkas T, Koopman HF, Verdonschot N, (2015), “TLEM 2.0 – a comprehensive musculoskeletal geometry dataset for subject-specific modeling of lower extremity” [ PDFDOIWWW ]
  • Lund ME, de Zee M, Andersen MS, Rasmussen J, (2012), “On validation of multibody musculoskeletal models” [ DOIWWW ]
  • Andersen MS, Damsgaard M, MacWilliams B, Rasmussen J, (2010), “A computationally efficient optimisation-based method for parameter identification of kinematically determinate and over-determinate biomechanical systems” [ DOIWWW ]
  • Andersen MS, Damsgaard M, Rasmussen J, (2009), “Kinematic analysis of over-determinate biomechanical systems”, vol. 12, pp. 371-384. [ DOIWWW ]
  • Damsgaard M, Rasmussen J, Christensen ST, Surma E, de Zee M, (2006), “Analysis of musculoskeletal systems in the AnyBody Modeling System” [ DOIWWW ]
  • Rasmussen J, Vondrak V, Damsgaard M, de Zee M, Christensen ST, (2002), “The AnyBody project – Computer analysis of the human body”, Computer Analysis of the Human Body. Biomechanics of Man, pp. 270-274.

Click here for more articles…