Monitoring joint mechanics in anterior cruciate ligament reconstruction using depth sensor-driven musculoskeletal modeling and statistical parametric mapping
•Kinetics were estimated using a single depth sensor and musculoskeletal modeling.•Kinects were compared between both ACLR limbs and dominant limbs of controls.•No differences in kinetic waveforms were found between groups in over-ground gait.•ALCR exhibited differences in kinetic waveforms during t...
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| Published in | Medical engineering & physics Vol. 103; p. 103796 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
01.05.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1350-4533 1873-4030 1873-4030 |
| DOI | 10.1016/j.medengphy.2022.103796 |
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| Abstract | •Kinetics were estimated using a single depth sensor and musculoskeletal modeling.•Kinects were compared between both ACLR limbs and dominant limbs of controls.•No differences in kinetic waveforms were found between groups in over-ground gait.•ALCR exhibited differences in kinetic waveforms during terminal stair ascent.•Evidence of compensatory strategies may be task dependent in this ACLR cohort.
The incidence of anterior cruciate ligament injury and reconstruction (ACLR) may set the stage for the development of early onset osteoarthritis in these patients. Development of accessible quantitative motion capture methodologies for recurrent monitoring of knee joint loading during daily activities following ACLR is necessary. This study aimed to compare lower extremity kinetics between ACLR affected limbs, ACLR unaffected limbs, and dominant limbs of healthy control subjects during over-ground gait and stair ascent using a single depth sensor-driven musculoskeletal modeling approach. No meaningful differences were found between groups during over-ground gait in any kinetic variables. When subjected to a stair ascent task, both ACLR limbs showed greater hip extension and internal rotation moments compared to control subjects at approximately 72–79% stance. This was coincident with greater knee flexion moments in both ALCR limbs compared to control. The absence of differences during over-ground gait but presence of compensatory strategies during stair ascent, suggests task dependent recovery in this cohort who were tested at least 1-year following surgery. Importantly, this was determined using a portable low-cost motion capture method which may be attractive to professionals in sports medicine for recurrent monitoring following ACLR. |
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| AbstractList | •Kinetics were estimated using a single depth sensor and musculoskeletal modeling.•Kinects were compared between both ACLR limbs and dominant limbs of controls.•No differences in kinetic waveforms were found between groups in over-ground gait.•ALCR exhibited differences in kinetic waveforms during terminal stair ascent.•Evidence of compensatory strategies may be task dependent in this ACLR cohort.
The incidence of anterior cruciate ligament injury and reconstruction (ACLR) may set the stage for the development of early onset osteoarthritis in these patients. Development of accessible quantitative motion capture methodologies for recurrent monitoring of knee joint loading during daily activities following ACLR is necessary. This study aimed to compare lower extremity kinetics between ACLR affected limbs, ACLR unaffected limbs, and dominant limbs of healthy control subjects during over-ground gait and stair ascent using a single depth sensor-driven musculoskeletal modeling approach. No meaningful differences were found between groups during over-ground gait in any kinetic variables. When subjected to a stair ascent task, both ACLR limbs showed greater hip extension and internal rotation moments compared to control subjects at approximately 72–79% stance. This was coincident with greater knee flexion moments in both ALCR limbs compared to control. The absence of differences during over-ground gait but presence of compensatory strategies during stair ascent, suggests task dependent recovery in this cohort who were tested at least 1-year following surgery. Importantly, this was determined using a portable low-cost motion capture method which may be attractive to professionals in sports medicine for recurrent monitoring following ACLR. The incidence of anterior cruciate ligament injury and reconstruction (ACLR) may set the stage for the development of early onset osteoarthritis in these patients. Development of accessible quantitative motion capture methodologies for recurrent monitoring of knee joint loading during daily activities following ACLR is necessary. This study aimed to compare lower extremity kinetics between ACLR affected limbs, ACLR unaffected limbs, and dominant limbs of healthy control subjects during over-ground gait and stair ascent using a single depth sensor-driven musculoskeletal modeling approach. No meaningful differences were found between groups during over-ground gait in any kinetic variables. When subjected to a stair ascent task, both ACLR limbs showed greater hip extension and internal rotation moments compared to control subjects at approximately 72-79% stance. This was coincident with greater knee flexion moments in both ALCR limbs compared to control. The absence of differences during over-ground gait but presence of compensatory strategies during stair ascent, suggests task dependent recovery in this cohort who were tested at least 1-year following surgery. Importantly, this was determined using a portable low-cost motion capture method which may be attractive to professionals in sports medicine for recurrent monitoring following ACLR. The incidence of anterior cruciate ligament injury and reconstruction (ACLR) may set the stage for the development of early onset osteoarthritis in these patients. Development of accessible quantitative motion capture methodologies for recurrent monitoring of knee joint loading during daily activities following ACLR is necessary. This study aimed to compare lower extremity kinetics between ACLR affected limbs, ACLR unaffected limbs, and dominant limbs of healthy control subjects during over-ground gait and stair ascent using a single depth sensor-driven musculoskeletal modeling approach. No meaningful differences were found between groups during over-ground gait in any kinetic variables. When subjected to a stair ascent task, both ACLR limbs showed greater hip extension and internal rotation moments compared to control subjects at approximately 72-79% stance. This was coincident with greater knee flexion moments in both ALCR limbs compared to control. The absence of differences during over-ground gait but presence of compensatory strategies during stair ascent, suggests task dependent recovery in this cohort who were tested at least 1-year following surgery. Importantly, this was determined using a portable low-cost motion capture method which may be attractive to professionals in sports medicine for recurrent monitoring following ACLR.The incidence of anterior cruciate ligament injury and reconstruction (ACLR) may set the stage for the development of early onset osteoarthritis in these patients. Development of accessible quantitative motion capture methodologies for recurrent monitoring of knee joint loading during daily activities following ACLR is necessary. This study aimed to compare lower extremity kinetics between ACLR affected limbs, ACLR unaffected limbs, and dominant limbs of healthy control subjects during over-ground gait and stair ascent using a single depth sensor-driven musculoskeletal modeling approach. No meaningful differences were found between groups during over-ground gait in any kinetic variables. When subjected to a stair ascent task, both ACLR limbs showed greater hip extension and internal rotation moments compared to control subjects at approximately 72-79% stance. This was coincident with greater knee flexion moments in both ALCR limbs compared to control. The absence of differences during over-ground gait but presence of compensatory strategies during stair ascent, suggests task dependent recovery in this cohort who were tested at least 1-year following surgery. Importantly, this was determined using a portable low-cost motion capture method which may be attractive to professionals in sports medicine for recurrent monitoring following ACLR. |
| ArticleNumber | 103796 |
| Author | Best, Thomas M. Letter, Michael Signorile, Joseph F. Andersen, Michael S. Eltoukhy, Moataz Oh, Jeonghoon Ripic, Zachary Kuenze, Christopher |
| Author_xml | – sequence: 1 givenname: Jeonghoon orcidid: 0000-0002-9185-7362 surname: Oh fullname: Oh, Jeonghoon organization: Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 132, Coral Gables, FL 33143, United States – sequence: 2 givenname: Zachary orcidid: 0000-0002-7272-0491 surname: Ripic fullname: Ripic, Zachary organization: Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 132, Coral Gables, FL 33143, United States – sequence: 3 givenname: Joseph F. surname: Signorile fullname: Signorile, Joseph F. organization: Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 132, Coral Gables, FL 33143, United States – sequence: 4 givenname: Michael S. orcidid: 0000-0001-8275-9472 surname: Andersen fullname: Andersen, Michael S. organization: Department of Materials and Production, Aalborg University, Fibigerstraede 16, Aalborg East 9220, Denmark – sequence: 5 givenname: Christopher surname: Kuenze fullname: Kuenze, Christopher organization: Department of Kinesiology, School of Education, Michigan State University, East Lansing, MI 48824, United States – sequence: 6 givenname: Michael surname: Letter fullname: Letter, Michael organization: Orthopedic Sports Medicine, Miller School of Medicine, University of Miami, Coral Gables, FL 33146, United States – sequence: 7 givenname: Thomas M. surname: Best fullname: Best, Thomas M. organization: Orthopedic Sports Medicine, Miller School of Medicine, University of Miami, Coral Gables, FL 33146, United States – sequence: 8 givenname: Moataz surname: Eltoukhy fullname: Eltoukhy, Moataz email: meltoukhy@miami.edu organization: Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 132, Coral Gables, FL 33143, United States |
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| CitedBy_id | crossref_primary_10_3390_electronics13122245 crossref_primary_10_1016_j_gaitpost_2024_01_018 |
| Cites_doi | 10.1016/j.gaitpost.2016.10.001 10.1136/bjsports-2015-094797 10.2106/JBJS.J.00898 10.1016/j.gaitpost.2021.10.005 10.1016/j.jsams.2018.03.009 10.1016/j.jbiomech.2013.07.031 10.1016/S0021-9290(01)00035-5 10.1016/j.knee.2018.12.011 10.1249/MSS.0000000000001693 10.1136/bjsm.2008.052522 10.1002/jor.1100090114 10.1016/j.gaitpost.2020.02.011 10.1249/mss.0b013e31815cbb0e 10.1016/j.jbiomech.2015.09.020 10.1249/MSS.0000000000002208 10.1016/j.clinbiomech.2009.12.004 10.1007/s11044-017-9573-8 10.1007/s00167-021-06442-w 10.1016/S0268-0033(02)00016-5 10.1016/j.gaitpost.2020.12.025 10.1177/2325967113496967 10.3390/app10103378 10.1016/j.medengphy.2017.03.007 10.1016/S1050-6411(97)00042-4 10.1093/ptj/73.4.229 10.1016/j.medengphy.2017.10.004 10.1016/j.jbiomech.2004.02.010 10.1177/0363546515618380 10.4085/1062-6050-52.6.06 10.1177/0363546510376053 10.1016/S0021-9290(01)00039-2 10.1023/B:ABME.0000017541.82498.37 10.1177/2325967120984138 10.1016/j.medengphy.2018.07.011 10.1007/s00167-019-05743-5 10.1123/jab.2018-0392 10.1186/s12891-019-2456-9 10.1002/hbm.1058 10.1097/01.blo.0000197079.26600.09 10.1016/j.gaitpost.2019.11.011 10.1016/j.jbiomech.2015.02.051 10.1016/j.jelekin.2016.12.005 10.1097/00005768-199810000-00003 10.1016/j.pmrj.2016.01.014 |
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| Keywords | Biomechanics Musculoskeletal modeling ACL Depth sensors |
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| SubjectTerms | ACL Anterior Cruciate Ligament Injuries - surgery Anterior Cruciate Ligament Reconstruction - methods Biomechanical Phenomena Biomechanics Depth sensors Gait Humans Knee Joint - surgery Musculoskeletal modeling |
| Title | Monitoring joint mechanics in anterior cruciate ligament reconstruction using depth sensor-driven musculoskeletal modeling and statistical parametric mapping |
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