Department of Rehabilitation Therapy, Yangzhi Affiliated Rehabilitation Hospital of Tongji University, No. 2209, Guangxing Road, Songjiang District, Shanghai, 201619, People's Republic of China.
Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia.
J Neuroeng Rehabil. 2020 Jan 13;17(1):5. doi: 10.1186/s12984-020-0641-6.
Locomat is a robotic exoskeleton providing guidance force and bodyweight support to facilitate intensive walking training for people with stroke. Although the Locomat has been reported to be effective in improving walking performance, the effects of training parameters on the neuromuscular control remain unclear. This study aimed to compare the muscle activities between Locomat walking and treadmill walking at a normal speed, as well as to investigate the effects of varying bodyweight support and guidance force on muscle activation patterns during Locomat walking in people with stroke.
A cross-sectional study design was employed. Participants first performed an unrestrained walking on a treadmill and then walked in the Locomat with different levels of bodyweight support (30% or 50%) and guidance force (40% or 70%) at the same speed (1.2 m/s). Surface electromyography (sEMG) of seven muscles of the affected leg was recorded. The sEMG envelope was time-normalised and averaged over gait cycles. Mean sEMG amplitude was then calculated by normalising the sEMG amplitude with respect to the peak amplitude during treadmill walking for statistical analysis. A series of Non-parametric test and post hoc analysis were performed with a significance level of 0.05.
Fourteen participants with stroke were recruited at the Yangzhi Affiliated Rehabilitation Hospital of Tongji University (female n = 1; mean age 46.1 ± 11.1 years). Only the mean sEMG amplitude of vastus medialis oblique during Locomat walking (50% bodyweight support and 70% guidance force) was significantly lower than that during treadmill walking. Reducing both bodyweight and guidance increased muscle activity of gluteus medius and tibialis anterior. Activity of vastus medialis oblique muscle increased as bodyweight support reduced, while that of rectus femoris increased as guidance force decreased.
The effects of Locomat on reducing muscle activity in people with stroke were minimized when walking at a normal speed. Reducing bodyweight support and guidance force increased the activity of specific muscles during Locomat walking. Effects of bodyweight support, guidance force and speed should be taken into account when developing individualized Locomat training protocols for clients with stroke.
Locomat 是一种机器人外骨骼,可提供导向力和体重支撑,以促进中风患者的强化步行训练。尽管已有报道称 Locomat 可有效改善步行表现,但训练参数对神经肌肉控制的影响仍不清楚。本研究旨在比较 Locomat 行走和常规速度 treadmill 行走之间的肌肉活动,并探讨在中风患者中改变体重支撑和导向力对 Locomat 行走时肌肉激活模式的影响。
采用横断面研究设计。参与者首先在 treadmill 上进行无约束行走,然后以相同速度(1.2m/s)在 Locomat 中进行不同水平的体重支撑(30%或 50%)和导向力(40%或 70%)的行走。记录患侧 7 块肌肉的表面肌电图(sEMG)。将 sEMG 包络进行时间归一化,并在步态周期上进行平均化。然后,通过将 sEMG 幅度相对于 treadmill 行走期间的峰值幅度进行归一化,计算出 sEMG 幅度的平均值,用于统计分析。使用非参数检验和事后分析,以 0.05 的显著性水平进行了一系列分析。
共招募了来自同济大学附属养志康复医院的 14 名中风患者(女性 n=1;平均年龄 46.1±11.1 岁)。只有 Locomat 行走(50%体重支撑和 70%导向力)时的股直肌中间肌的平均 sEMG 幅度显著低于 treadmill 行走时的幅度。降低体重和导向力均增加了臀中肌和胫骨前肌的活动。随着体重支撑的降低,股直肌中间肌的活动增加,而随着导向力的降低,股直肌的活动增加。
当以常规速度行走时,Locomat 降低中风患者肌肉活动的效果最小化。降低体重支撑和导向力会增加 Locomat 行走时特定肌肉的活动。在为中风患者制定个体化 Locomat 训练方案时,应考虑体重支撑、导向力和速度的影响。