A new musculoskeletal AnyBody™ detailed hand model

Area of Science:

• Biomechanics
• Musculoskeletal modeling
• Human motion analysis

Background:

• Musculoskeletal research often requires complex simulations for hand function.
• Existing human body models lack a fully developed, detailed hand component.
• Inverse dynamics simulations are valuable when experimental data is limited.

Purpose of the Study:

• To develop and validate a comprehensive human hand model within the AnyBody Modelling System (AMS).
• To enable inverse dynamics simulations for hand-related musculoskeletal research.
• To provide a tool for studying hand muscle and joint forces.

Main Methods:

• Utilized a cadaver dataset for extrinsic and intrinsic hand muscles.
• Implemented various obstacle methods (tori, cylinders, ellipsoids) for accurate muscle path alignment.
• Incorporated lumbrical muscle origins within the flexor digitorum profundus tendon.
• Enabled patient-specific scaling based on hand dimensions.
• Validated the model against literature-based experimental data for wrist, thumb, and index finger muscles.

Main Results:

• The developed hand model demonstrated good comparability with experimental data.
• Numerical calculations of moment arms showed good agreement with literature values.
• Extrinsic muscles exhibited higher accordance than intrinsic muscles in the model.
• The model successfully replicated finger range of motion.

Conclusions:

• The validated inverse dynamics hand model is suitable for musculoskeletal research.
• The model provides a valuable tool for analyzing hand muscle and joint forces.
• It offers broad applications in hand injury prevention and rehabilitation studies.