Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar Spine
Low back pain (LBP), the leading cause of disability worldwide, remains one of the most common and challenging problems in occupational musculoskeletal disorders. The effective assessment of LBP injury risk, and the design of appropriate treatment modalities and rehabilitation protocols, require acc...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-08-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fbioe.2020.00949/full |
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| author | Alireza Sharifzadeh-Kermani Navid Arjmand Gholamreza Vossoughi Aboulfazl Shirazi-Adl Avinash G. Patwardhan Mohamad Parnianpour Kinda Khalaf |
| author_facet | Alireza Sharifzadeh-Kermani Navid Arjmand Gholamreza Vossoughi Aboulfazl Shirazi-Adl Avinash G. Patwardhan Mohamad Parnianpour Kinda Khalaf |
| author_sort | Alireza Sharifzadeh-Kermani |
| collection | DOAJ |
| description | Low back pain (LBP), the leading cause of disability worldwide, remains one of the most common and challenging problems in occupational musculoskeletal disorders. The effective assessment of LBP injury risk, and the design of appropriate treatment modalities and rehabilitation protocols, require accurate estimation of the mechanical spinal loads during different activities. This study aimed to: (1) develop a novel 2D beam-column finite element control-based model of the lumbar spine and compare its predictions for muscle forces and spinal loads to those resulting from a geometrically matched equilibrium-based model; (2) test, using the foregoing control-based finite element model, the validity of the follower load (FL) concept suggested in the geometrically matched model; and (3) investigate the effect of change in the magnitude of the external load on trunk muscle activation patterns. A simple 2D continuous beam-column model of the human lumbar spine, incorporating five pairs of Hill’s muscle models, was developed in the frontal plane. Bio-inspired fuzzy neuro-controllers were used to maintain a laterally bent posture under five different external loading conditions. Muscle forces were assigned based on minimizing the kinematic error between target and actual postures, while imposing a penalty on muscular activation levels. As compared to the geometrically matched model, our control-based model predicted similar patterns for muscle forces, but at considerably lower values. Moreover, irrespective of the external loading conditions, a near (<3°) optimal FL on the spine was generated by the control-based predicted muscle forces. The variation of the muscle forces with the magnitude of the external load within the simulated range at the L1 level was found linear. This work presents a novel methodology, based on a bio-inspired control strategy, that can be used to estimate trunk muscle forces for various clinical and occupational applications toward shedding light on the ever-elusive LBP etiology. |
| first_indexed | 2024-12-13T19:16:48Z |
| format | Article |
| id | doaj.art-12c42c0efd4942a6ad2f58414b7cecc5 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-13T19:16:48Z |
| publishDate | 2020-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-12c42c0efd4942a6ad2f58414b7cecc52022-12-21T23:34:16ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852020-08-01810.3389/fbioe.2020.00949567180Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar SpineAlireza Sharifzadeh-Kermani0Navid Arjmand1Gholamreza Vossoughi2Aboulfazl Shirazi-Adl3Avinash G. Patwardhan4Mohamad Parnianpour5Kinda Khalaf6Department of Mechanical Engineering, Sharif University of Technology, Tehran, IranDepartment of Mechanical Engineering, Sharif University of Technology, Tehran, IranDepartment of Mechanical Engineering, Sharif University of Technology, Tehran, IranDivision of Applied Mechanics, Department of Mechanical Engineering, Polytechnique Montréal, Montreal, QC, CanadaMusculoskeletal Biomechanics Laboratory, Edward Hines, Jr. VA Hospital, Hines, IL, United StatesDepartment of Mechanical Engineering, Sharif University of Technology, Tehran, IranDepartment of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesLow back pain (LBP), the leading cause of disability worldwide, remains one of the most common and challenging problems in occupational musculoskeletal disorders. The effective assessment of LBP injury risk, and the design of appropriate treatment modalities and rehabilitation protocols, require accurate estimation of the mechanical spinal loads during different activities. This study aimed to: (1) develop a novel 2D beam-column finite element control-based model of the lumbar spine and compare its predictions for muscle forces and spinal loads to those resulting from a geometrically matched equilibrium-based model; (2) test, using the foregoing control-based finite element model, the validity of the follower load (FL) concept suggested in the geometrically matched model; and (3) investigate the effect of change in the magnitude of the external load on trunk muscle activation patterns. A simple 2D continuous beam-column model of the human lumbar spine, incorporating five pairs of Hill’s muscle models, was developed in the frontal plane. Bio-inspired fuzzy neuro-controllers were used to maintain a laterally bent posture under five different external loading conditions. Muscle forces were assigned based on minimizing the kinematic error between target and actual postures, while imposing a penalty on muscular activation levels. As compared to the geometrically matched model, our control-based model predicted similar patterns for muscle forces, but at considerably lower values. Moreover, irrespective of the external loading conditions, a near (<3°) optimal FL on the spine was generated by the control-based predicted muscle forces. The variation of the muscle forces with the magnitude of the external load within the simulated range at the L1 level was found linear. This work presents a novel methodology, based on a bio-inspired control strategy, that can be used to estimate trunk muscle forces for various clinical and occupational applications toward shedding light on the ever-elusive LBP etiology.https://www.frontiersin.org/article/10.3389/fbioe.2020.00949/fullspinemodelcontrollermuscle forcefollower loadstability |
| spellingShingle | Alireza Sharifzadeh-Kermani Navid Arjmand Gholamreza Vossoughi Aboulfazl Shirazi-Adl Avinash G. Patwardhan Mohamad Parnianpour Kinda Khalaf Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar Spine Frontiers in Bioengineering and Biotechnology spine model controller muscle force follower load stability |
| title | Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar Spine |
| title_full | Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar Spine |
| title_fullStr | Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar Spine |
| title_full_unstemmed | Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar Spine |
| title_short | Estimation of Trunk Muscle Forces Using a Bio-Inspired Control Strategy Implemented in a Neuro-Osteo-Ligamentous Finite Element Model of the Lumbar Spine |
| title_sort | estimation of trunk muscle forces using a bio inspired control strategy implemented in a neuro osteo ligamentous finite element model of the lumbar spine |
| topic | spine model controller muscle force follower load stability |
| url | https://www.frontiersin.org/article/10.3389/fbioe.2020.00949/full |
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