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A study on balance maintenance strategies during walking - a simulation study.

Yu Ikemoto¹, Wenwei Yu, Jun Inoue

¹Department of Medical System Engineering, Chiba University, Japan. yikemoto@graduate.chiba-u.jp

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 24, 2009

Summary

This study models human walking to improve assistive systems. Reflexes and compensated gait strategies enhance balance against perturbations and spastic paralysis, crucial for walking assist systems.

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Area of Science:

Robotics
Biomechanics
Computational Neuroscience

Background:

Assistive walking systems need to address external perturbations (slips, terrain) and internal impairments (spastic paralysis).
Humans utilize reflexive responses and compensated gait strategies to maintain stability and overcome gait abnormalities.

Purpose of the Study:

To investigate human strategies for coping with perturbations and functional impairments using a computational model.
To evaluate the effectiveness of reflexive mechanisms and compensated gait in simulated walking scenarios.

Main Methods:

Developed a human walking model incorporating a Central Pattern Generator (CPG) module.
Integrated muscle activity profiles and CPG-phase modulation to simulate reflexive responses.
Modeled spastic hemiplegic gait by altering specific neuron outputs to study compensated walking.

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Main Results:

The simulation model accurately replicated normal human walking behavior.
CPG-phase modulation and rapid muscular responses improved perturbation resistance and balance during simulated slips.
The model successfully simulated pes equinus gait and demonstrated reduced falling risk through compensated walking.

Conclusions:

The developed model effectively simulates human walking strategies for stability.
Reflexive mechanisms and compensated gait are vital for robust walking assist systems.
This research provides insights for designing advanced walking assist technologies for diverse user needs.