基于机器人的慢性中风幸存者上肢功能主动躯体感觉再训练(Act.Sens):一项试点随机对照试验的研究方案

Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial.

作者信息

Sidarta Ananda, Lim Yu Chin, Kuah Christopher Wee Keong, Loh Yong Joo, Ang Wei Tech

机构信息

Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.

Centre for Advanced Rehabilitation Therapeutics (CART), Tan Tock Seng Hospital, Singapore, Singapore.

出版信息

Pilot Feasibility Stud. 2021 Nov 15;7(1):207. doi: 10.1186/s40814-021-00948-3.

Abstract

BACKGROUND

Prior studies have established that senses of the limb position in space (proprioception and kinaesthesia) are important for motor control and learning. Although nearly one-half of stroke patients have impairment in the ability to sense their movements, somatosensory retraining focusing on proprioception and kinaesthesia is often overlooked. Interventions that simultaneously target motor and somatosensory components are thought to be useful for relearning somatosensory functions while increasing mobility of the affected limb. For over a decade, robotic technology has been incorporated in stroke rehabilitation for more controlled therapy intensity, duration, and frequency. This pilot randomised controlled trial introduces a compact robotic-based upper-limb reaching task that retrains proprioception and kinaesthesia concurrently.

METHODS

Thirty first-ever chronic stroke survivors (> 6-month post-stroke) will be randomly assigned to either a treatment or a control group. Over a 5-week period, the treatment group will receive 15 training sessions for about an hour per session. Robot-generated haptic guidance will be provided along the movement path as somatosensory cues while moving. Audio-visual feedback will appear following every successful movement as a reward. For the same duration, the control group will complete similar robotic training but without the vision occluded and robot-generated cues. Baseline, post-day 1, and post-day 30 assessments will be performed, where the last two sessions will be conducted after the last training session. Robotic-based performance indices and clinical assessments of upper limb functions after stroke will be used to acquire primary and secondary outcome measures respectively. This work will provide insights into the feasibility of such robot-assisted training clinically.

DISCUSSION

The current work presents a study protocol to retrain upper-limb somatosensory and motor functions using robot-based rehabilitation for community-dwelling stroke survivors. The training promotes active use of the affected arm while at the same time enhances somatosensory input through augmented feedback. The outcomes of this study will provide preliminary data and help inform the clinicians on the feasibility and practicality of the proposed exercise.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04490655 . Registered 29 July 2020.

摘要

背景

先前的研究已证实,对肢体在空间中的位置感知(本体感觉和运动觉)对于运动控制和学习至关重要。尽管近一半的中风患者在感知自身运动的能力方面存在障碍,但专注于本体感觉和运动觉的体感再训练却常常被忽视。同时针对运动和体感成分的干预措施被认为有助于重新学习体感功能,同时增加患侧肢体的活动能力。十多年来,机器人技术已被应用于中风康复治疗,以实现更可控的治疗强度、持续时间和频率。这项初步随机对照试验引入了一项基于紧凑型机器人的上肢伸展任务,可同时对本体感觉和运动觉进行再训练。

方法

30名首次发生的慢性中风幸存者(中风后超过6个月)将被随机分配到治疗组或对照组。在为期5周的时间里,治疗组将接受15次训练,每次训练约1小时。在移动过程中,机器人产生的触觉引导将作为体感线索沿着运动路径提供。每次成功移动后都会出现视听反馈作为奖励。在相同的时间段内,对照组将完成类似的机器人训练,但不遮挡视觉且没有机器人产生的线索。将进行基线、第1天和第30天的评估,其中最后两次评估将在最后一次训练后进行。基于机器人的性能指标和中风后上肢功能的临床评估将分别用于获取主要和次要结果指标。这项工作将为这种机器人辅助训练在临床上的可行性提供见解。

讨论

当前的工作提出了一项研究方案,用于对社区居住的中风幸存者使用基于机器人的康复方法来重新训练上肢体感和运动功能。该训练促进了患侧手臂的积极使用,同时通过增强反馈增强了体感输入。这项研究的结果将提供初步数据,并帮助临床医生了解所提议运动的可行性和实用性。

试验注册

ClinicalTrials.gov NCT04490655。于2020年7月29日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/490c/8591937/04b014c4d13b/40814_2021_948_Fig1_HTML.jpg

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