Department of Biomedical Engineering, Korea University College of Medicine, Seoul, 02841, Korea.
Sci Rep. 2023 Aug 29;13(1):14099. doi: 10.1038/s41598-023-35769-2.
Real world settings are seldomly just composed of level surfaces and stairs are frequently encountered in daily life. Unfortunately, ~ 90% of the elderly population use some sort of compensation pattern in order to negotiate stairs. Because the biomechanics required to successfully ascend stairs is significantly different from level walking, an independent training protocol is warranted. Here, we present as a preliminary investigation with 11 able-bodied subjects, prior to clinical trials, whether Myosuit could potentially serve as a stair ascent training robot. Myosuit is a soft wearable exosuit that was designed to assist the user via hip and knee extension during the early stance phase. We hypothesized that clinical studies could be carried out if the lower limb kinematics, sensory feedback via plantar force, and electromyography (EMG) patterns do not deviate from the user's physiological stair ascent patterns while reducing hip and knee extensor demand. Our results suggest that Myosuit conserves the user's physiological kinematic and plantar force patterns. Moreover, we observe approximately 20% and 30% decrease in gluteus maximus and vastus medialis EMG levels in the pull up phase, respectively. Collectively, Myosuit reduces the hip and knee extensor demand during stair ascent without any introduction of significant compensation patterns.
现实世界的环境很少由水平面组成,楼梯在日常生活中经常遇到。不幸的是,~90%的老年人口为了上下楼梯都需要某种代偿模式。由于成功上下楼梯所需的生物力学与平地行走有显著差异,因此需要独立的训练方案。在这里,我们在进行临床试验之前,使用 11 名健康受试者进行了初步研究,以确定 Myosuit 是否有可能成为一种楼梯上升训练机器人。Myosuit 是一种柔软的可穿戴式外骨骼,旨在通过髋关节和膝关节伸展在早期支撑阶段帮助使用者。我们假设,如果下肢运动学、足底力的感觉反馈和肌电图 (EMG) 模式不偏离用户的生理楼梯上升模式,同时减少髋关节和膝关节伸肌的需求,就可以进行临床研究。我们的结果表明,Myosuit 保留了使用者的生理运动学和足底力模式。此外,我们观察到在拉起阶段,臀大肌和股直肌的 EMG 水平分别降低了约 20%和 30%。总的来说,Myosuit 在不引入明显代偿模式的情况下,降低了楼梯上升过程中髋关节和膝关节伸肌的需求。