Spinal Cord Injury Center, Heidelberg University Hospital, 69118, Heidelberg, Germany.
Institute for Physiotherapy, University Hospital Jena, 07747, Jena, Germany.
J Neuroeng Rehabil. 2018 May 29;15(1):44. doi: 10.1186/s12984-018-0389-4.
Walking disabilities negatively affect inclusion in society and quality of life and increase the risk for secondary complications. It has been shown that external feedback applied by therapists and/or robotic training devices enables individuals with gait abnormalities to consciously normalize their gait pattern. However, little is known about the effects of a technically-assisted over ground feedback therapy. The aim of this study was to assess whether automatic real-time feedback provided by a shoe-mounted inertial-sensor-based gait therapy system is feasible in individuals with gait impairments after incomplete spinal cord injury (iSCI), stroke and in the elderly.
In a non-controlled proof-of-concept study, feedback by tablet computer-generated verbalized instructions was given to individuals with iSCI, stroke and old age for normalization of an individually selected gait parameter (stride length, stance or swing duration, or foot-to-ground angle). The training phase consisted of 3 consecutive visits. Four weeks post training a follow-up visit was performed. Visits started with an initial gait analysis (iGA) without feedback, followed by 5 feedback training sessions of 2-3 min and a gait analysis at the end. A universal evaluation and FB scheme based on equidistant levels of deviations from the mean normal value (1 level = 1 standard deviation (SD) of the physiological reference for the feedback parameter) was used for assessment of gait quality as well as for automated adaptation of training difficulty. Overall changes in level over iGAs were detected using a Friedman's Test. Post-hoc testing was achieved with paired Wilcoxon Tests. The users' satisfaction was assessed by a customized questionnaire.
Fifteen individuals with iSCI, 11 after stroke and 15 elderly completed the training. The average level at iGA significantly decreased over the visits in all groups (Friedman's test, p < 0.0001), with the biggest decrease between the first and second training visit (4.78 ± 2.84 to 3.02 ± 2.43, p < 0.0001, paired Wilcoxon test). Overall, users rated the system's usability and its therapeutic effect as positive.
Mobile, real-time, verbalized feedback is feasible and results in a normalization of the feedback gait parameter. The results form a first basis for using real-time feedback in task-specific motor rehabilitation programs.
DRKS00011853 , retrospectively registered on 2017/03/23.
行走障碍会对社会包容和生活质量产生负面影响,并增加继发并发症的风险。研究表明,治疗师和/或机器人训练设备施加的外部反馈使步态异常的个体能够有意识地使步态模式正常化。然而,对于技术辅助的地面反馈治疗的效果知之甚少。本研究的目的是评估基于鞋装惯性传感器的步态治疗系统提供的自动实时反馈在不完全性脊髓损伤(iSCI)、中风和老年人中的步态障碍患者中是否可行。
在一项非对照概念验证研究中,通过平板电脑生成的口头指令向 iSCI、中风和老年人提供反馈,以将个体选择的步态参数(步长、站立或摆动时间或足地角度)正常化。训练阶段包括 3 次连续就诊。训练后 4 周进行随访就诊。就诊时首先进行初始步态分析(iGA),不进行反馈,然后进行 5 次 2-3 分钟的反馈训练,最后进行步态分析。使用基于与正常均值偏差的等距水平的通用评估和 FB 方案(反馈参数的 1 个水平=生理参考的 1 个标准差(SD))来评估步态质量,并自动调整训练难度。使用 Friedman 检验检测 iGA 中总体水平的变化。采用配对 Wilcoxon 检验进行事后检验。使用定制问卷评估用户满意度。
15 名 iSCI 患者、11 名中风后患者和 15 名老年人完成了训练。所有组的 iGA 平均水平在就诊期间均显著降低(Friedman 检验,p<0.0001),最大降幅发生在第一次和第二次训练就诊之间(4.78±2.84 至 3.02±2.43,p<0.0001,配对 Wilcoxon 检验)。总体而言,用户对系统的可用性和治疗效果评价为积极。
移动、实时、口头反馈是可行的,可使反馈步态参数正常化。这些结果为在特定于任务的运动康复计划中使用实时反馈提供了初步依据。
DRKS00011853,于 2017 年 3 月 23 日回顾性注册。