Sensitivity of a Subject-specific Ankle Sprain Simulation to Extrinsic Versus Intrinsic Biomechanical Factors
Ankle sprains are the most common musculoskeletal injury in sport and military activity, despite existing prophylactic strategies. The purpose of this report was to develop a probabilistic simulation of lateral ankle sprains during single-limb drop landing, towards accelerating innovation in ankle s...
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| Published in | Frontiers in bioengineering and biotechnology Vol. 9; p. 765331 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
08.12.2021
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 2296-4185 2296-4185 |
| DOI | 10.3389/fbioe.2021.765331 |
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| Abstract | Ankle sprains are the most common musculoskeletal injury in sport and military activity, despite existing prophylactic strategies. The purpose of this report was to develop a probabilistic simulation of lateral ankle sprains during single-limb drop landing, towards accelerating innovation in ankle sprain prevention. A deterministic, subject-specific musculoskeletal model was extended with automation and probabilistic distributions on sprain-related biomechanical factors. Probabilistic simulations were generated using traditional Monte Carlo techniques and the advanced mean value method, a more computationally-efficient approach. Predicted distributions of peak ankle joint rotations, velocities, and moments borne by supporting passive structures agreed favorably with the deterministic model and with reports of real sprain biomechanics. Parameter sensitivities identified that predictions were most strongly influenced by drop height, subtalar joint posture at contact, invertor/evertor co-activation, and passive ankle stiffness. The advanced mean value method predicted confidence bounds comparable to a 1000-trial Monte Carlo simulation, and required only 14 model evaluations and 4-min processing time. The extended probabilistic simulation may be useful to virtually test new prophylactic strategies for ankle sprains, and is made available for open-source use (
https://simtk.org/projects/sprain-sim
). |
|---|---|
| AbstractList | Ankle sprains are the most common musculoskeletal injury in sport and military activity, despite existing prophylactic strategies. The purpose of this report was to develop a probabilistic simulation of lateral ankle sprains during single-limb drop landing, towards accelerating innovation in ankle sprain prevention. A deterministic, subject-specific musculoskeletal model was extended with automation and probabilistic distributions on sprain-related biomechanical factors. Probabilistic simulations were generated using traditional Monte Carlo techniques and the advanced mean value method, a more computationally-efficient approach. Predicted distributions of peak ankle joint rotations, velocities, and moments borne by supporting passive structures agreed favorably with the deterministic model and with reports of real sprain biomechanics. Parameter sensitivities identified that predictions were most strongly influenced by drop height, subtalar joint posture at contact, invertor/evertor co-activation, and passive ankle stiffness. The advanced mean value method predicted confidence bounds comparable to a 1000-trial Monte Carlo simulation, and required only 14 model evaluations and 4-min processing time. The extended probabilistic simulation may be useful to virtually test new prophylactic strategies for ankle sprains, and is made available for open-source use (https://simtk.org/projects/sprain-sim). Ankle sprains are the most common musculoskeletal injury in sport and military activity, despite existing prophylactic strategies. The purpose of this report was to develop a probabilistic simulation of lateral ankle sprains during single-limb drop landing, towards accelerating innovation in ankle sprain prevention. A deterministic, subject-specific musculoskeletal model was extended with automation and probabilistic distributions on sprain-related biomechanical factors. Probabilistic simulations were generated using traditional Monte Carlo techniques and the advanced mean value method, a more computationally-efficient approach. Predicted distributions of peak ankle joint rotations, velocities, and moments borne by supporting passive structures agreed favorably with the deterministic model and with reports of real sprain biomechanics. Parameter sensitivities identified that predictions were most strongly influenced by drop height, subtalar joint posture at contact, invertor/evertor co-activation, and passive ankle stiffness. The advanced mean value method predicted confidence bounds comparable to a 1000-trial Monte Carlo simulation, and required only 14 model evaluations and 4-min processing time. The extended probabilistic simulation may be useful to virtually test new prophylactic strategies for ankle sprains, and is made available for open-source use ( https://simtk.org/projects/sprain-sim ). Ankle sprains are the most common musculoskeletal injury in sport and military activity, despite existing prophylactic strategies. The purpose of this report was to develop a probabilistic simulation of lateral ankle sprains during single-limb drop landing, towards accelerating innovation in ankle sprain prevention. A deterministic, subject-specific musculoskeletal model was extended with automation and probabilistic distributions on sprain-related biomechanical factors. Probabilistic simulations were generated using traditional Monte Carlo techniques and the advanced mean value method, a more computationally-efficient approach. Predicted distributions of peak ankle joint rotations, velocities, and moments borne by supporting passive structures agreed favorably with the deterministic model and with reports of real sprain biomechanics. Parameter sensitivities identified that predictions were most strongly influenced by drop height, subtalar joint posture at contact, invertor/evertor co-activation, and passive ankle stiffness. The advanced mean value method predicted confidence bounds comparable to a 1000-trial Monte Carlo simulation, and required only 14 model evaluations and 4-min processing time. The extended probabilistic simulation may be useful to virtually test new prophylactic strategies for ankle sprains, and is made available for open-source use (https://simtk.org/projects/sprain-sim).Ankle sprains are the most common musculoskeletal injury in sport and military activity, despite existing prophylactic strategies. The purpose of this report was to develop a probabilistic simulation of lateral ankle sprains during single-limb drop landing, towards accelerating innovation in ankle sprain prevention. A deterministic, subject-specific musculoskeletal model was extended with automation and probabilistic distributions on sprain-related biomechanical factors. Probabilistic simulations were generated using traditional Monte Carlo techniques and the advanced mean value method, a more computationally-efficient approach. Predicted distributions of peak ankle joint rotations, velocities, and moments borne by supporting passive structures agreed favorably with the deterministic model and with reports of real sprain biomechanics. Parameter sensitivities identified that predictions were most strongly influenced by drop height, subtalar joint posture at contact, invertor/evertor co-activation, and passive ankle stiffness. The advanced mean value method predicted confidence bounds comparable to a 1000-trial Monte Carlo simulation, and required only 14 model evaluations and 4-min processing time. The extended probabilistic simulation may be useful to virtually test new prophylactic strategies for ankle sprains, and is made available for open-source use (https://simtk.org/projects/sprain-sim). |
| Author | Petrella, Anthony J. Farrokhi, Shawn Yoder, Adam J. |
| AuthorAffiliation | 4 Uniformed Services University of the Health Sciences, Bethesda , MD , United States 3 Department of Mechanical Engineering, Colorado School of Mines, Golden , CO , United States 1 DoD-VA Extremity Trauma and Amputation Center of Excellence, San Diego , CA , United States 2 Department of Physical and Occupational Therapy, Naval Medical Center, San Diego , CA , United States |
| AuthorAffiliation_xml | – name: 2 Department of Physical and Occupational Therapy, Naval Medical Center, San Diego , CA , United States – name: 3 Department of Mechanical Engineering, Colorado School of Mines, Golden , CO , United States – name: 1 DoD-VA Extremity Trauma and Amputation Center of Excellence, San Diego , CA , United States – name: 4 Uniformed Services University of the Health Sciences, Bethesda , MD , United States |
| Author_xml | – sequence: 1 givenname: Adam J. surname: Yoder fullname: Yoder, Adam J. – sequence: 2 givenname: Anthony J. surname: Petrella fullname: Petrella, Anthony J. – sequence: 3 givenname: Shawn surname: Farrokhi fullname: Farrokhi, Shawn |
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| Cites_doi | 10.2514/3.25266 10.25036/jphr.2017.1.1.dierker 10.1016/j.asmart.2015.08.002 10.1016/j.amepre.2009.10.004 10.1115/1.3108456 10.1115/1.4035472 10.1016/j.jbiomech.2016.11.002 10.1371/journal.pcbi.1006223 10.1016/j.clinbiomech.2008.03.072 10.1007/s40279-013-0102-5 10.2519/jospt.2003.33.10.572 10.1109/10.102791 10.1007/s10439-014-1181-7 10.1016/S0021-9290(99)00218-3 10.2519/jospt.1997.26.6.299 10.1177/0363546516628870 10.7205/milmed-d-16-00160 10.1097/00005768-200002000-00002 10.1097/01.blo.0000183737.43245.26 10.1177/1941738115572984 10.1016/j.cmpb.2006.09.013 10.1115/1.3138397 10.1016/j.jshs.2018.01.002 10.1016/j.gaitpost.2008.06.004 10.1136/bjsm.2006.029645 10.5935/1678-9741.2013004510.1016/s0021-9290(01)00222-6 10.1016/j.ptsp.2018.06.003 10.1016/j.ymeth.2020.01.011 10.2519/jospt.2021.0302 |
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| Copyright | Copyright © 2021 Yoder, Petrella and Farrokhi. Copyright © 2021 Yoder, Petrella and Farrokhi. 2021 Yoder, Petrella and Farrokhi |
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| Keywords | inversion instability opensim brace injury ankle sprain |
| Language | English |
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| Title | Sensitivity of a Subject-specific Ankle Sprain Simulation to Extrinsic Versus Intrinsic Biomechanical Factors |
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