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Accuracy and Reliability of Marker-Based Approaches to Scale the Pelvis, Thigh, and Shank Segments in Musculoskeletal Models
- Source :
- Journal of applied biomechanics. 33(5)
- Publication Year :
- 2017
-
Abstract
- Gait analysis together with musculoskeletal modeling is widely used for research. In the absence of medical images, surface marker locations are used to scale a generic model to the individual’s anthropometry. Studies evaluating the accuracy and reliability of different scaling approaches in a pediatric and/or clinical population have not yet been conducted and, therefore, formed the aim of this study. Magnetic resonance images (MRI) and motion capture data were collected from 12 participants with cerebral palsy and 6 typically developed participants. Accuracy was assessed by comparing the scaled model’s segment measures to the corresponding MRI measures, whereas reliability was assessed by comparing the model’s segments scaled with the experimental marker locations from the first and second motion capture session. The inclusion of joint centers into the scaling process significantly increased the accuracy of thigh and shank segment length estimates compared to scaling with markers alone. Pelvis scaling approaches which included the pelvis depth measure led to the highest errors compared to the MRI measures. Reliability was similar between scaling approaches with mean ICC of 0.97. The pelvis should be scaled using pelvic width and height and the thigh and shank segment should be scaled using the proximal and distal joint centers.
- Subjects :
- Models, Anatomic
medicine.medical_specialty
Scale (ratio)
Computer science
0206 medical engineering
Population
Biophysics
02 engineering and technology
Thigh
Motion capture
Pelvis
03 medical and health sciences
0302 clinical medicine
medicine
Humans
Orthopedics and Sports Medicine
education
Gait
Reliability (statistics)
Orthodontics
education.field_of_study
medicine.diagnostic_test
Rehabilitation
Reproducibility of Results
Magnetic resonance imaging
020601 biomedical engineering
Magnetic Resonance Imaging
Biomechanical Phenomena
medicine.anatomical_structure
Lower Extremity
Gait analysis
Physical therapy
Anatomic Landmarks
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15432688
- Volume :
- 33
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of applied biomechanics
- Accession number :
- edsair.doi.dedup.....c5c6869f28750b61528d5c42a49bf53c