Abstract
To improve our understanding on the neuromechanics of finger movements, a comprehensive musculoskeletal model is needed. The aim of this study was to build a musculoskeletal model of the hand and wrist, based on one consistent data set of the relevant anatomical parameters. We built and tested a model including the hand and wrist segments, as well as the muscles of the forearm and hand in OpenSim. In total, the model comprises 19 segments (with the carpal bones modeled as one segment) with 23 degrees of freedom and 43 muscles. All required anatomical input data, including bone masses and inertias, joint axis positions and orientations as well as muscle morphological parameters (i.e. PCSA, mass, optimal fiber length and tendon length) were obtained from one cadaver of which the data set was recently published. Model validity was investigated by first comparing computed muscle moment arms at the index finger metacarpophalangeal (MCP) joint and wrist joint to published reference values. Secondly, the muscle forces during pinching were computed using static optimization and compared to previously measured intraoperative reference values. Computed and measured moment arms of muscles at both index MCP and wrist showed high correlation coefficients (r = 0.88 averaged across all muscles) and modest root mean square deviation (RMSD = 23% averaged across all muscles). Computed extrinsic flexor forces of the index finger during index pinch task were within one standard deviation of previously measured in-vivo tendon forces. These results provide an indication of model validity for use in estimating muscle forces during static tasks.
| Original language | English |
|---|---|
| Pages (from-to) | 548-557 |
| Journal | Computer methods in biomechanics and biomedical engineering |
| Volume | 21 |
| Issue number | 9 |
| Early online date | 26 Sep 2018 |
| DOIs | |
| Publication status | Published - 2018 |
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Keywords
- Finger
- moment arm
- pinch force
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A musculoskeletal model of the hand and wrist : model definition and evaluation. / Mirakhorlo, M.; Van Beek, N.; Wesseling, M.; Maas, H.; Veeger, H. E.J.; Jonkers, I.
In: Computer methods in biomechanics and biomedical engineering, Vol. 21, No. 9, 2018, p. 548-557.Research output: Contribution to Journal › Article › Academic › peer-review
TY - JOUR
T1 - A musculoskeletal model of the hand and wrist
T2 - model definition and evaluation
AU - Mirakhorlo, M.
AU - Van Beek, N.
AU - Wesseling, M.
AU - Maas, H.
AU - Veeger, H. E.J.
AU - Jonkers, I.
PY - 2018
Y1 - 2018
N2 - To improve our understanding on the neuromechanics of finger movements, a comprehensive musculoskeletal model is needed. The aim of this study was to build a musculoskeletal model of the hand and wrist, based on one consistent data set of the relevant anatomical parameters. We built and tested a model including the hand and wrist segments, as well as the muscles of the forearm and hand in OpenSim. In total, the model comprises 19 segments (with the carpal bones modeled as one segment) with 23 degrees of freedom and 43 muscles. All required anatomical input data, including bone masses and inertias, joint axis positions and orientations as well as muscle morphological parameters (i.e. PCSA, mass, optimal fiber length and tendon length) were obtained from one cadaver of which the data set was recently published. Model validity was investigated by first comparing computed muscle moment arms at the index finger metacarpophalangeal (MCP) joint and wrist joint to published reference values. Secondly, the muscle forces during pinching were computed using static optimization and compared to previously measured intraoperative reference values. Computed and measured moment arms of muscles at both index MCP and wrist showed high correlation coefficients (r = 0.88 averaged across all muscles) and modest root mean square deviation (RMSD = 23% averaged across all muscles). Computed extrinsic flexor forces of the index finger during index pinch task were within one standard deviation of previously measured in-vivo tendon forces. These results provide an indication of model validity for use in estimating muscle forces during static tasks.
AB - To improve our understanding on the neuromechanics of finger movements, a comprehensive musculoskeletal model is needed. The aim of this study was to build a musculoskeletal model of the hand and wrist, based on one consistent data set of the relevant anatomical parameters. We built and tested a model including the hand and wrist segments, as well as the muscles of the forearm and hand in OpenSim. In total, the model comprises 19 segments (with the carpal bones modeled as one segment) with 23 degrees of freedom and 43 muscles. All required anatomical input data, including bone masses and inertias, joint axis positions and orientations as well as muscle morphological parameters (i.e. PCSA, mass, optimal fiber length and tendon length) were obtained from one cadaver of which the data set was recently published. Model validity was investigated by first comparing computed muscle moment arms at the index finger metacarpophalangeal (MCP) joint and wrist joint to published reference values. Secondly, the muscle forces during pinching were computed using static optimization and compared to previously measured intraoperative reference values. Computed and measured moment arms of muscles at both index MCP and wrist showed high correlation coefficients (r = 0.88 averaged across all muscles) and modest root mean square deviation (RMSD = 23% averaged across all muscles). Computed extrinsic flexor forces of the index finger during index pinch task were within one standard deviation of previously measured in-vivo tendon forces. These results provide an indication of model validity for use in estimating muscle forces during static tasks.
KW - Finger
KW - moment arm
KW - pinch force
UR - http://www.scopus.com/inward/record.url?scp=85053931479&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053931479&partnerID=8YFLogxK
U2 - 10.1080/10255842.2018.1490952
DO - 10.1080/10255842.2018.1490952
M3 - Article
VL - 21
SP - 548
EP - 557
JO - Computer methods in biomechanics and biomedical engineering
JF - Computer methods in biomechanics and biomedical engineering
SN - 1025-5842
IS - 9
ER -