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Experimental Methods to Study Human Postural Control
Published on: September 11, 2019
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The Effect of Visual Stimuli on Stability and Complexity of Postural Control
Haizhen Luo1, Xiaoyun Wang2, Mengying Fan1
1Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Engineering, Sun Yat-sen University, Guangzhou, China.
Frontiers in Neurology
|February 24, 2018
Summary
Visual input significantly impacts balance control. Virtual reality environments, especially those with roll-axis visual motion, most challenge postural stability, indicating complex neuromuscular adaptations.
Area of Science:
- Biomechanics
- Human Physiology
- Neuroscience
Background:
- Visual input's role in postural control is complex and not fully understood.
- Understanding visual stimuli effects on postural stability is crucial for human movement research.
Purpose of the Study:
- To investigate the impact of diverse visual inputs on postural control stability and complexity.
- To analyze center of pressure (COP) signal parameters under various visual conditions.
Main Methods:
- Assessed COP trajectories from force plate data in 16 healthy subjects.
- Analyzed mean velocity (MV), standard deviation (SD), and fuzzy approximate entropy (fApEn) of COP signals.
- Compared eyes-closed, eyes-open, and three virtual reality (VR) visual scenes (yaw, pitch, roll rotation).
Main Results:
- Postural stability parameters were lowest in eyes-open and highest in the VR3 (roll-axis rotation) condition.
- Neuromuscular adaptation (fApEn) was more responsive in the anterior-posterior (AP) direction.
- Medial-lateral (ML) stability (SD) reflected changes in visual scenes, while MV indicated both instability and neuromuscular control.
Conclusions:
- Different visual inputs elicit distinct postural control responses.
- VR environments, particularly roll-axis motion, present significant postural challenges.
- COP parameters (MV, SD, fApEn) offer compensatory insights into postural control within immersive virtual environments.
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