Journal
ANNALS OF BIOMEDICAL ENGINEERING
Volume 34, Issue 3, Pages 465-476Publisher
SPRINGER
DOI: 10.1007/s10439-005-9045-9
Keywords
shoulder; stochastic; Monte Carlo; musculoskeletal model; infraspinatus; supraspinatus; teres minor
Categories
Funding
- Intramural NIH HHS [Z01 AR041171] Funding Source: Medline
- NIAMS NIH HHS [R01 AR048540, AR048540] Funding Source: Medline
- NICHD NIH HHS [R56 HD007447, R01 HD007447, T32 HD007447, HD07447] Funding Source: Medline
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The reigning paradigm of musculoskeletal modeling is to construct deterministic models from parameters of an average subject and make predictions for muscle forces and joint torques with this model. This approach is limited because it does not perform well for outliers, and it does not model the effects of population parameter variability. The purpose of this study was to simulate variability in musculoskeletal parameters on glenohumeral external rotation strength in healthy normals, and in rotator cuff tear case using a Monte Carlo model. The goal was to determine if variability in musculoskeletal parameters could quantifiably explain variability in glenohumeral external rotation strength. Multivariate Gamma distributions for musculoskeletal architecture and moment arm were constructed from empirical data. Gamma distributions of measured joint strength were constructed. Parameters were sampled from the distributions and input to the model to predict muscle forces and joint torques. The model predicted measured joint torques for healthy normals, subjects with supraspinatus tears, and subjects with infraspinatus-supraspinatus tears with small error. Muscle forces for the three conditions were predicted and compared. Variability in measured torques can be explained by differences in parameter variability.
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