Biomechanical Analysis of Human Gait When Changing Velocity and Carried Loads: Simulation Study with OpenSim

Area of Science:

• Biomechanics
• Human Movement Analysis
• Musculoskeletal Modeling

Background:

• Gait analysis is crucial for understanding daily activities and biomechanics.
• Extensive reference data for various walking conditions are limited due to experimental challenges.
• Assessing walking performance requires comprehensive data across diverse gait conditions.

Purpose of the Study:

• To simulate and analyze lower limb biomechanics under various walking speeds and carried loads.
• To generate comprehensive biomechanical data not easily obtainable through direct experimentation.
• To expand existing literature by investigating a wider range of gait conditions.

Main Methods:

• Utilized a musculoskeletal model in OpenSim coupled with gait data.
• Simulated seven different walking velocities and seven carried load conditions.
• Investigated all combinations of speed and load parameters.

Main Results:

• Demonstrated that both walking speed and carried load significantly influence lower limb biomechanics.
• Quantified the effects on joint torque, power, and mechanical work.
• The simulation approach provided comprehensive data across a wide range of conditions.

Conclusions:

• The study provides extensive biomechanical data for lower limb function under varied speeds and loads.
• These findings are valuable for applications in rehabilitation, orthopedics, sports medicine, and clinical care.
• The simulation method offers a powerful tool for generating comprehensive gait data.