AdjuSST的设计和特征:一个可调整的表面刚度跑步机
Mark Price1, Dominic Locurto2, Banu Abdikadirova3
1Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003 USA; Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003 USA.
概括
研究人员开发了一种可调整表面刚性跑步机 (AdjuSST),以研究人类神经运动系统如何适应变化的脚-地面动态. 这项技术有助于理解步行适应,以获得更好的康复策略.
科学领域:
- 生物力学 生物力学
- 神经科学是一个神经科学.
- 机器人技术 机器人技术 机器人技术
背景情况:
- 人类在不同的地形上表现出了足地相互作用的显著适应能力.
- 了解神经运动适应动态变化是步态再培训的关键.
- 现有的系统在研究这些适应方面存在局限性.
研究的目的:
- 推出一种新的可调表面刚性跑步机 (AdjuSST).
- 调查人类适应变化的足迹和地面动态的适应机制.
- 通过更好地了解运动控制,加强步行康复干预措施.
主要方法:
- 开发了基于梁曲原理的可调表面刚度跑步机 (AdjuSST).
- 通过调整悬臂梁的有效长度来控制表面刚度.
- 该系统提供15-300kN/m的刚度范围,响应快速,行走表面长度显著.
主要成果:
- AdjuSST系统成功地模拟了不同的脚与地面相互作用动态.
- 证明了触发和研究神经运动适应机制的能力.
- 该系统提供了增强的行走表面长度和响应式悬挂.
结论:
- 在研究运动控制和适应方面,AdjuSST是一个重要的进步.
- 这项技术为步行康复和理解人类适应能力提供了新的可能性.
- 进一步的研究可以利用AdjuSST来探索对表面刚度变化的神经运动反应.
相关概念视频
Actin Treadmilling
9.7K
Actin filaments undergo polymerization and depolymerization from either end. The polymerization and depolymerization rates depend on the cytosolic concentration of free G-actins. The polymerization rate is generally higher at the plus or barbed end, while the depolymerization rate is higher at the minus or pointed end. At a steady state, critical concentration describes the concentration of free G-actin monomers at which the polymerization rate at the plus end is equal to that of the...
9.7K
The Anchoring-and-Adjustment Heuristic
7.8K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.8K
Adjusting a Traverse
380
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
380
Group Design
10.4K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.4K
Renal Failure: Dose Adjustments
471
In patients with renal impairment, drugs undergo significant changes in their pharmacokinetics, which require dosage adjustments to ensure safe and effective therapy.
Reduced renal clearance and elimination rate are common outcomes of renal impairment. These alterations lead to a prolonged elimination half-life and an altered apparent volume of distribution for drugs. As a result, dosage adjustments are typically necessary to maintain optimal drug levels in the body.
However, dosage adjustments...
Reduced renal clearance and elimination rate are common outcomes of renal impairment. These alterations lead to a prolonged elimination half-life and an altered apparent volume of distribution for drugs. As a result, dosage adjustments are typically necessary to maintain optimal drug levels in the body.
However, dosage adjustments...
471
Factorial Design
13.8K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.8K


