Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling
Musculoskeletal computational models provide a non-invasive approach to investigate human movement biomechanics. These models could be particularly useful for pediatric applications where in vivo and in vitro biomechanical parameters are difficult or impossible to examine using physical experiments...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Mathematical and Computational Applications |
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| Online Access: | https://www.mdpi.com/2297-8747/27/3/36 |
| _version_ | 1797484613249007616 |
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| author | Yeram Lim Tamara Chambers Christine Walck Safeer Siddicky Erin Mannen Victor Huayamave |
| author_facet | Yeram Lim Tamara Chambers Christine Walck Safeer Siddicky Erin Mannen Victor Huayamave |
| author_sort | Yeram Lim |
| collection | DOAJ |
| description | Musculoskeletal computational models provide a non-invasive approach to investigate human movement biomechanics. These models could be particularly useful for pediatric applications where in vivo and in vitro biomechanical parameters are difficult or impossible to examine using physical experiments alone. The objective was to develop a novel musculoskeletal subject-specific infant model to investigate hip joint biomechanics during cyclic leg movements. Experimental motion-capture marker data of a supine-lying 2-month-old infant were placed on a generic GAIT 2392 OpenSim model. After scaling the model using body segment anthropometric measurements and joint center locations, inverse kinematics and dynamics were used to estimate hip ranges of motion and moments. For the left hip, a maximum moment of 0.975 Nm and a minimum joint moment of 0.031 Nm were estimated at 34.6° and 65.5° of flexion, respectively. For the right hip, a maximum moment of 0.906 Nm and a minimum joint moment of 0.265 Nm were estimated at 23.4° and 66.5° of flexion, respectively. Results showed agreement with reported values from the literature. Further model refinements and validations are needed to develop and establish a normative infant dataset, which will be particularly important when investigating the movement of infants with pathologies such as developmental dysplasia of the hip. This research represents the first step in the longitudinal development of a model that will critically contribute to our understanding of infant growth and development during the first year of life. |
| first_indexed | 2024-03-09T23:07:54Z |
| format | Article |
| id | doaj.art-7a191ea60a1f42419066f3a161d5aa9d |
| institution | Directory Open Access Journal |
| issn | 1300-686X 2297-8747 |
| language | English |
| last_indexed | 2024-03-09T23:07:54Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematical and Computational Applications |
| spelling | doaj.art-7a191ea60a1f42419066f3a161d5aa9d2023-11-23T17:50:35ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472022-04-012733610.3390/mca27030036Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant ModelingYeram Lim0Tamara Chambers1Christine Walck2Safeer Siddicky3Erin Mannen4Victor Huayamave5Department of Mechanical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USADepartment of Mechanical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USADepartment of Mechanical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USAMechanical and Biomedical Engineering Department, Boise State University, Boise, ID 83725, USAMechanical and Biomedical Engineering Department, Boise State University, Boise, ID 83725, USADepartment of Mechanical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USAMusculoskeletal computational models provide a non-invasive approach to investigate human movement biomechanics. These models could be particularly useful for pediatric applications where in vivo and in vitro biomechanical parameters are difficult or impossible to examine using physical experiments alone. The objective was to develop a novel musculoskeletal subject-specific infant model to investigate hip joint biomechanics during cyclic leg movements. Experimental motion-capture marker data of a supine-lying 2-month-old infant were placed on a generic GAIT 2392 OpenSim model. After scaling the model using body segment anthropometric measurements and joint center locations, inverse kinematics and dynamics were used to estimate hip ranges of motion and moments. For the left hip, a maximum moment of 0.975 Nm and a minimum joint moment of 0.031 Nm were estimated at 34.6° and 65.5° of flexion, respectively. For the right hip, a maximum moment of 0.906 Nm and a minimum joint moment of 0.265 Nm were estimated at 23.4° and 66.5° of flexion, respectively. Results showed agreement with reported values from the literature. Further model refinements and validations are needed to develop and establish a normative infant dataset, which will be particularly important when investigating the movement of infants with pathologies such as developmental dysplasia of the hip. This research represents the first step in the longitudinal development of a model that will critically contribute to our understanding of infant growth and development during the first year of life.https://www.mdpi.com/2297-8747/27/3/36musculoskeletal modelinfant movementbiomechanicsmotion captureOpenSim |
| spellingShingle | Yeram Lim Tamara Chambers Christine Walck Safeer Siddicky Erin Mannen Victor Huayamave Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling Mathematical and Computational Applications musculoskeletal model infant movement biomechanics motion capture OpenSim |
| title | Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling |
| title_full | Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling |
| title_fullStr | Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling |
| title_full_unstemmed | Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling |
| title_short | Challenges in Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling |
| title_sort | challenges in kinetic kinematic driven musculoskeletal subject specific infant modeling |
| topic | musculoskeletal model infant movement biomechanics motion capture OpenSim |
| url | https://www.mdpi.com/2297-8747/27/3/36 |
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