Neuromechanical Simulation of Human Postural Sway in the Sagittal Plane Based on a Hybrid Triple Inverted Pendulum...

Area of Science:

• Biomechanics
• Neuroscience
• Robotics

Background:

• Human quiet stance relies on complex neuromechanical interactions.
• Previous models often require precise, computationally intensive joint control.
• The central nervous system simplifies neural control for posture maintenance.

Purpose of the Study:

• To introduce a novel neuromechanical model for simulating human quiet stance.
• To integrate a hybrid triple inverted pendulum (HTIP) framework with state-dependent intermittent control.
• To focus on body's center of mass (CoM) stabilization rather than individual joint control.

Main Methods:

• Developed a hybrid triple inverted pendulum (HTIP) model.
• Implemented a state-dependent intermittent control strategy.
• Simulated posture control in the sagittal plane, activating feedback near stability boundaries.

Main Results:

• The model accurately replicates natural postural sway patterns observed in experimental data.
• Demonstrated realistic simulation of human posture control in the sagittal plane.
• Validated against real-world data for postural sway.

Conclusions:

• The HTIP model offers a computationally efficient and realistic simulation of human quiet stance.
• Addresses a long-standing challenge in neuromechanical modeling.
• Enhances understanding and simulation of posture control, aiding interventions for individuals with impairments.