老年人穿戴式机器人辅助行走时的步态表现和足底压力分布。
Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults.
机构信息
Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea.
Department of Health Science and Technology, Department of Medical Device Management and Research, SAIHST, Sungkyunkwan University, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea.
出版信息
J Neuroeng Rehabil. 2017 Nov 28;14(1):123. doi: 10.1186/s12984-017-0333-z.
BACKGROUND
A robotic exoskeleton device is an intelligent system designed to improve gait performance and quality of life for the wearer. Robotic technology has developed rapidly in recent years, and several robot-assisted gait devices were developed to enhance gait function and activities of daily living in elderly adults and patients with gait disorders. In this study, we investigated the effects of the Gait-enhancing Mechatronic System (GEMS), a new wearable robotic hip-assist device developed by Samsung Electronics Co, Ltd., Korea, on gait performance and foot pressure distribution in elderly adults.
METHODS
Thirty elderly adults who had no neurological or musculoskeletal abnormalities affecting gait participated in this study. A three-dimensional (3D) motion capture system, surface electromyography and the F-Scan system were used to collect data on spatiotemporal gait parameters, muscle activity and foot pressure distribution under three conditions: free gait without robot assistance (FG), robot-assisted gait with zero torque (RAG-Z) and robot-assisted gait (RAG).
RESULTS
We found increased gait speed, cadence, stride length and single support time in the RAG condition. Reduced rectus femoris and medial gastrocnemius muscle activity throughout the terminal stance phase and reduced effort of the medial gastrocnemius muscle throughout the pre-swing phase were also observed in the RAG condition. In addition, walking with the assistance of GEMS resulted in a significant increase in foot pressure distribution, specifically in maximum force and peak pressure of the total foot, medial masks, anterior masks and posterior masks.
CONCLUSION
The results of the present study reveal that GEMS may present an alternative way of restoring age-related changes in gait such as gait instability with muscle weakness, reduced step force and lower foot pressure in elderly adults. In addition, GEMS improved gait performance by improving push-off power and walking speed and reducing muscle activity in the lower extremities.
TRIAL REGISTRATION
NCT02843828 .
背景
机器人外骨骼设备是一种旨在改善佩戴者步态表现和生活质量的智能系统。近年来，机器人技术发展迅速，已经开发出几种机器人辅助步态设备，旨在增强老年人和步态障碍患者的步态功能和日常生活活动能力。在这项研究中，我们研究了韩国三星电子公司开发的新型可穿戴机器人髋关节辅助装置 Gait-enhancing Mechatronic System（GEMS）对老年人步态表现和足底压力分布的影响。
方法
30 名无影响步态的神经或肌肉骨骼异常的老年人参加了这项研究。使用三维（3D）运动捕捉系统、表面肌电图和 F-Scan 系统收集数据，数据包括在三种条件下的时空步态参数、肌肉活动和足底压力分布：无机器人辅助的自由步态（FG）、零扭矩的机器人辅助步态（RAG-Z）和机器人辅助步态（RAG）。
结果
我们发现 RAG 条件下的步态速度、步频、步长和单支撑时间增加。在 RAG 条件下，还观察到股直肌和内侧腓肠肌在整个终末站立阶段的肌肉活动减少，以及内侧腓肠肌在预摆阶段的用力减少。此外，在 GEMS 的辅助下行走导致足底压力分布显著增加，特别是总足的最大力和峰值压力、内侧面具、前面具和后面具。
结论
本研究结果表明，GEMS 可能为恢复老年人步态提供一种替代方法，例如与肌肉无力相关的步态不稳定、步力降低和足底压力降低。此外，GEMS 通过提高推离力和行走速度以及减少下肢肌肉活动来改善步态表现。
试验注册
NCT02843828。
Zotero 插件