Monitoring joint mechanics in anterior cruciate ligament reconstruction using depth sensor-driven musculoskeletal modeling and statistical parametric mapping. (May 2022)
- Record Type:
- Journal Article
- Title:
- Monitoring joint mechanics in anterior cruciate ligament reconstruction using depth sensor-driven musculoskeletal modeling and statistical parametric mapping. (May 2022)
- Main Title:
- Monitoring joint mechanics in anterior cruciate ligament reconstruction using depth sensor-driven musculoskeletal modeling and statistical parametric mapping
- Authors:
- Oh, Jeonghoon
Ripic, Zachary
Signorile, Joseph F.
Andersen, Michael S.
Kuenze, Christopher
Letter, Michael
Best, Thomas M.
Eltoukhy, Moataz - Abstract:
- Highlights: 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. Abstract: 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,Highlights: 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. Abstract: 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. … (more)
- Is Part Of:
- Medical engineering & physics. Volume 103(2022)
- Journal:
- Medical engineering & physics
- Issue:
- Volume 103(2022)
- Issue Display:
- Volume 103, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 103
- Issue:
- 2022
- Issue Sort Value:
- 2022-0103-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05
- Subjects:
- Biomechanics -- Musculoskeletal modeling -- ACL -- Depth sensors
Biomedical engineering -- Periodicals
Biomedical Engineering -- Periodicals
Physics -- Periodicals
Génie biomédical -- Périodiques
Biomedical engineering
Electronic journals
Periodicals
610.28 - Journal URLs:
- http://www.medengphys.com ↗
http://www.sciencedirect.com/science/journal/13504533 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/13504533 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/13504533 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.medengphy.2022.103796 ↗
- Languages:
- English
- ISSNs:
- 1350-4533
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5527.323000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21402.xml