Sowande O Francis, Koyner Dwight, Prosser Laura, Johnson Michelle J
School of Engineering and Applied Sciences, Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA.
School of Engineering and Applied Sciences, Department of Systems Science and Engineering, University of Pennsylvania, Philadelphia, PA, USA.
ROMAN. 2024 Aug;2024:1005-1012. doi: 10.1109/ro-man60168.2024.10731418. Epub 2024 Oct 30.
Infants at risk for developmental delays such as Cerebral Palsy, can often be distinguished through observation of their motion and postural stability. In an effort to provide more accessible and quantitative metrics for the early detection of such impairments, this study focuses on the development of a 6-degree of freedom (DOF) robotic infant simulator. The robotic simulator provides insight into the relationship between infant motion and center of pressure (COP), a common measure that is capable of distinguishing impaired infants through quantification of postural stability. We focus on the impact of a 2 DOF motion in the trunk on COP through two experiments where we 1) Compare the impacts on COP of the limbs and the trunk, and 2) Compare the robot's COP to a real infant's. Our results indicate that motion in the trunk plays a strong part in replicating an infant's COP. Additionally, we can observe that changes in COP exhibit clear and repeatable patterns with respect to motion in each DOF. Future directions suggest a look at how different motions in the trunk affect infant COP.
患有发育迟缓风险的婴儿,如脑瘫患儿,通常可以通过观察其运动和姿势稳定性来识别。为了提供更易获取且定量的指标用于早期检测此类损伤,本研究聚焦于开发一种六自由度(DOF)机器人婴儿模拟器。该机器人模拟器有助于深入了解婴儿运动与压力中心(COP)之间的关系,压力中心是一种常见的测量指标,能够通过量化姿势稳定性来区分受损婴儿。我们通过两个实验,重点研究躯干中两自由度运动对压力中心的影响,这两个实验分别是:1)比较四肢和躯干对压力中心的影响;2)将机器人的压力中心与真实婴儿的进行比较。我们的结果表明,躯干运动在复制婴儿压力中心方面起着重要作用。此外,我们可以观察到,压力中心的变化相对于每个自由度的运动呈现出清晰且可重复的模式。未来的研究方向建议关注躯干中不同运动如何影响婴儿的压力中心。