EMG-Driven Musculoskeletal Modelling Framework for Virtual Simulation of Upper Limb Activation-Modulated Impairment...

Area of Science:

• Biomechanics
• Musculoskeletal modeling
• Neuroscience

Background:

• Surface electromyography (EMG) is crucial for muscle activation assessment.
• Interpreting EMG's functional biomechanical impact is challenging.
• Need for systematic analysis of activation-dependent movement alterations.

Purpose of the Study:

• Develop and evaluate an EMG-driven musculoskeletal simulation framework.
• Investigate how modified muscle activation patterns influence upper limb joint biomechanics.
• Enable systematic virtual scenario analysis of activation-dependent movement alterations.

Main Methods:

• Recorded surface EMG from healthy adults during elbow flexion/extension.
• Applied processed EMG envelopes as neural inputs in OpenSim forward dynamic simulations.
• Generated virtual scenarios by modifying activation signals (reduced capacity, co-activation, spasticity, tremor).

Main Results:

• Distinct activation modifications yielded characteristic kinematic and kinetic responses.
• Reduced activation decreased joint moments; increased co-activation altered timing and stability.
• Tremor-like modulation caused periodic fluctuations; MQI differentiated scenarios.

Conclusions:

• The EMG-driven simulation framework enables controlled analysis of activation-dependent biomechanical changes.
• Joint mechanics are sensitive to altered muscle activation patterns.
• Framework supports research-oriented biomechanical investigation and hypothesis testing.