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任务条件的变化会导致中枢神经系统在控制人体站立时采用的间歇性反馈控制中的间歇性变化。

Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance.

机构信息

SysIDEA Robotics Lab, Mechanical Engineering, IIT Gandhinagar, Palaj, 382355, GJ, India.

出版信息

Biol Cybern. 2022 Aug;116(4):447-459. doi: 10.1007/s00422-022-00927-8. Epub 2022 Apr 2.

Abstract

Event-driven intermittent feedback control is a form of feedback control in which the corrective control action is only initiated intermittently when the variables of interest exceed certain threshold criteria. It has been reported in the literature that the CNS uses an event-driven intermittent control strategy to stabilize the human upright posture. However, whether the threshold criteria may change under different postural task conditions is not yet well understood. We employ a numerical study with inverted pendulum models and an experimental study with 51 young healthy individuals (13 females and 38 males; age: 27.8 ± 6.5 years) with stabilogram-diffusion, temporal and spectral analysis applied to COP (Center of Pressure) trajectories measured from these experiments to examine this aspect. The present study provides compelling evidence that inducing a natural arm swing during quiet stance appears to lead to higher sensory dead zone in neuronal control reflecting higher intermittency thresholds in active feedback control and a corresponding lower sensory dependence. Beyond the obvious scientific interest in understanding this aspect of how CNS controls the standing posture, an investigation of the said control strategy may subsequently help uncover insights about how control of quiet stance degrades with age and in diseased conditions. Additionally, such an understanding will also be of interest to the humanoid robotics community as it may lead to insights leading to improving control strategies for posture control in robots.

摘要

事件驱动的间歇反馈控制是一种反馈控制形式,其中只有在感兴趣的变量超过某些阈值标准时,才会间歇性地启动纠正控制动作。文献报道称,中枢神经系统(CNS)使用事件驱动的间歇控制策略来稳定人体的直立姿势。然而,在不同的姿势任务条件下,阈值标准是否会发生变化尚不清楚。我们采用数值研究(使用倒立摆模型)和实验研究(涉及 51 名年轻健康个体(女性 13 名,男性 38 名;年龄:27.8 ± 6.5 岁),并应用稳定图扩散、时间和频谱分析对这些实验中测量的 COP(重心)轨迹进行分析)来研究这一方面。本研究提供了令人信服的证据,表明在安静站立时引入自然的手臂摆动似乎会导致神经元控制中的感觉死区更高,反映出主动反馈控制中的间歇性阈值更高,相应的感觉依赖性更低。除了在理解中枢神经系统如何控制站立姿势方面具有明显的科学兴趣外,对这种控制策略的研究也可能有助于揭示随着年龄的增长和疾病状态下,安静站立控制如何恶化的机制。此外,这种理解也将引起仿人机器人社区的关注,因为它可能为提高机器人的姿势控制策略提供一些思路。

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