TY - JOUR
T1 - Computational modelling of bone fracture healing under partial weight-bearing exercise
AU - Zhang, Lihai
AU - Miramini, Saeed
AU - Richardson, Martin
AU - Ebeling, Peter
AU - Little, David
AU - Yang, Yi
AU - Huang, Zhiyong
PY - 2017/4/1
Y1 - 2017/4/1
N2 - 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.
AB - 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.
KW - ActiGraph accelerometer
KW - Bone fracture healing
KW - Interfragmentary movement
KW - Mechano-regulation
KW - Partial weight-bearing exercise
UR - http://www.scopus.com/inward/record.url?scp=85013472868&partnerID=8YFLogxK
U2 - 10.1016/j.medengphy.2017.01.025
DO - 10.1016/j.medengphy.2017.01.025
M3 - Article
AN - SCOPUS:85013472868
VL - 42
SP - 65
EP - 72
JO - Medical Engineering and Physics
JF - Medical Engineering and Physics
SN - 1350-4533
ER -