Electromyography-Based Validation of a Musculoskeletal Hand Model

Area of Science:

• Biomechanics
• Musculoskeletal modeling
• Human hand function

Background:

• Musculoskeletal simulations offer insights into hand muscle forces for injury prevention and rehabilitation.
• Current hand models are often validated using anatomical moment arms from cadaver studies.

Purpose of the Study:

• To further validate a recently developed hand model.
• To compare numerically calculated muscle activities with experimentally measured electromyographical (EMG) signals.

Main Methods:

• Measured EMG signals from 10 hand muscles across five subjects during seven hand movements.
• Used kinematic data as input for the hand model to compute numerical muscle activities.
• Calculated the time difference of muscle on- and off-set points between simulated and experimental data.

Main Results:

• Achieved a mean on- and off-set time difference of 0.58 seconds between the model and experimental EMG data.
• Observed largest discrepancies for wrist-dominant movements.
• Identified muscle cross-talk as a significant challenge in comparing simulated and measured activities.

Conclusions:

• The validated hand model demonstrates accurate performance, despite limitations.
• This represents a significant step towards developing patient-specific musculoskeletal models for the upper extremity.
• The findings support the use of this model in research related to hand function and injury.