Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1007
Title: Computational modelling of bone fracture healing under partial weight-bearing exercise.
Epworth Authors: Richardson, Martin
Other Authors: Zhang, Lihai
Miramini, Saeed
Ebeling, Peter
Little, David
Yang, Yi
Huang, Zhiyong
Keywords: Fracture Healing
Bone Healing
Interfragmentary Movement
Mechano-regulation
Partial Weight-bearing Exercise
Vivo Mechanical Environment
Outcomes
Post-surgical Physical Therapy
Callus Formation
Bone Loading
ActiGraph Accelerometer
Musculoskelatal Clinical Institute, Epworth Healthcare, Victoria, Australia
Issue Date: Feb-2017
Publisher: Elsevier
Citation: Med Eng Phys. 2017 Feb 21. pii: S1350-4533(17)30037-1.
Abstract: A great deal of evidence suggests that partial weight-bearing exercise plays an important role in bone fracture healing. However, current physiotherapy program tends to follow the "Let's try it and see" strategy due to the lack of a fundamental understanding of in vivo mechanical environment required for the better healing outcomes. The purpose of present study is to develop an innovative framework to predict the healing outcomes as a result of post-surgical physical therapy. The raw acceleration data corresponding to a series of walking tests is firstly captured by ActiGraph accelerometers, and then used as input to theoretically estimate the peak ground reaction force (PGRF) and peak loading rate (PLR). Finally, the healing outcomes as a result of different walking speeds are predicated based on the interfragmentary movement (IFM) measured by using mechanical testing. The results show that PGRF and PLR are important factors for the callus tissue differentiation at the early stage of healing. The developed model could potentially allow the design of effective patient specific post-surgical physical therapy.
URI: http://hdl.handle.net/11434/1007
DOI: 10.1016/j.medengphy.2017.01.025
PubMed URL: https://www.ncbi.nlm.nih.gov/pubmed/28236603
ISSN: 1350-4533
Journal Title: Medical Engineering & Physics
Type: Journal Article
Affiliated Organisations: Department of Infrastructure Engineering, The University of Melbourne, Victoria, Australia.
Department of Medicine, Monash University, Clayton, Victoria, Australia.
Department of Orthopaedics, Children's Hospital, Westmead, NSW, Australia.
Shenzhen Nanao People's Hospital, Shenzhen, Guangdong 518121, P R China.
Type of Clinical Study or Trial: Predictive Test
Appears in Collections:Musculoskeletal

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