Department of Robotics, Brain and Cognitive Sciences, Istituto Italiano di Tecnologia, Genoa, Italy; Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy.
School of Healthcare Science, Manchester Metropolitan University, Manchester, United Kingdom.
Prog Brain Res. 2019;248:319-327. doi: 10.1016/bs.pbr.2019.04.031. Epub 2019 May 23.
Quiet standing has been modeled many times as an unstable task of controlling an inverted pendulum in a gravity divergent force field. Multiple sensory systems and motor components of the nervous system are involved in postural balancing and the stabilization problem becomes even more complex in presence of perturbations. In the present work, we reveal how humans deal with different sources of perturbations. We asked healthy participants to perform a realistic whole body postural balancing task, controlling a perturbed virtual inverted pendulum through an EMG-interface connected to the ankle muscles, receiving a haptic feedback of the pendulum position. Two sources of perturbations were provided: Motor Noise, applying a gain on the control signal, and Sensory Noise, adding an external disturbance on the system plant. Results show that participants, without a priori knowledge on perturbations and no specific instructions, were able to adapt to perturbations and behaved in different ways in relationship with the different perturbation sources. These findings also suggest that error-enhancing methods (i.e., perturbations) might be suitable for postural stability recovery.
静立已被多次建模为在重力发散力场中控制倒立摆的不稳定任务。姿势平衡涉及到多个感觉系统和神经系统的运动成分,而在存在干扰的情况下,稳定问题变得更加复杂。在本工作中,我们揭示了人类如何应对不同的干扰源。我们要求健康参与者执行一项现实的全身姿势平衡任务,通过连接到脚踝肌肉的肌电图接口控制受干扰的虚拟倒立摆,接收摆位置的触觉反馈。提供了两种干扰源:电机噪声,对控制信号施加增益,以及感官噪声,在系统设备上添加外部干扰。结果表明,参与者在没有先验知识和没有特定指令的情况下,能够适应干扰,并根据不同的干扰源以不同的方式表现。这些发现还表明,误差增强方法(即干扰)可能适合姿势稳定性恢复。