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一种基于分段复合本体感受弯曲致动器的用于手部康复的气动软外骨骼系统。

A Pneumatic Soft Exoskeleton System Based on Segmented Composite Proprioceptive Bending Actuators for Hand Rehabilitation.

作者信息

Li Kai, Zhang Daohui, Chu Yaqi, Zhao Xingang, Ren Shuheng, Hou Xudong

机构信息

The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.

The Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China.

出版信息

Biomimetics (Basel). 2024 Oct 18;9(10):638. doi: 10.3390/biomimetics9100638.

Abstract

Soft pneumatic actuators/robotics have received significant interest in the medical and health fields, due to their intrinsic elasticity and simple control strategies for enabling desired interactions. However, current soft hand pneumatic exoskeletons often exhibit uniform deformation, mismatch the profile of the interacting objects, and seldom quantify the assistive effects during activities of daily life (ADL), such as extension angle and predicted joint stiffness. The lack of quantification poses challenges to the effective and sustainable advancement of rehabilitation technology. This paper introduces the design, modeling, and testing of pneumatic bioinspired segmented composite proprioceptive bending actuators (SCPBAs) for hand rehabilitation in ADL tasks. Inspired by human finger anatomy, the actuator's soft-joint-rigid-bone segmented structure provides a superior fit compared to continuous structures in traditional fiber-reinforced actuators (FRAs). A quasi-static model is established to predict the bending angles based on geometric parameters. Quantitative evaluations of predicted joint stiffness and extension angle utilizing proprioceptive bending are performed. Additionally, a soft under-actuated hand exoskeleton equipped with SCPBAs demonstrates their potential in ADL rehabilitation scenarios.

摘要

由于其固有的弹性和实现所需相互作用的简单控制策略,软质气动致动器/机器人在医疗和健康领域受到了广泛关注。然而,当前的软质手部气动外骨骼通常表现出均匀变形,与相互作用物体的轮廓不匹配,并且很少量化日常生活活动(ADL)期间的辅助效果,如伸展角度和预测的关节刚度。缺乏量化给康复技术的有效和可持续发展带来了挑战。本文介绍了用于ADL任务中手部康复的气动仿生分段复合本体感受弯曲致动器(SCPBA)的设计、建模和测试。受人类手指解剖结构的启发,与传统纤维增强致动器(FRA)中的连续结构相比,该致动器的软关节-硬骨分段结构具有更好的贴合性。建立了一个准静态模型,基于几何参数预测弯曲角度。利用本体感受弯曲对预测的关节刚度和伸展角度进行了定量评估。此外,配备SCPBA的软质欠驱动手部外骨骼展示了它们在ADL康复场景中的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1749/11506789/8846e8df0e56/biomimetics-09-00638-g004.jpg

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