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本文引用的文献

1
Social robots in rehabilitation: A question of trust.康复领域中的社交机器人:信任问题。
Sci Robot. 2018 Aug 15;3(21). doi: 10.1126/scirobotics.aat1587.
2
Factors affecting post-stroke motor recovery: Implications on neurotherapy after brain injury.影响中风后运动恢复的因素:对脑损伤后神经治疗的启示
Behav Brain Res. 2018 Mar 15;340:94-101. doi: 10.1016/j.bbr.2016.08.029. Epub 2016 Aug 13.
3
Influence of psychologic features on rehabilitation outcomes in patients with subacute stroke trained with robotic-aided walking therapy.心理特征对接受机器人辅助步行治疗的亚急性脑卒中患者康复效果的影响。
Am J Phys Med Rehabil. 2013 Oct;92(10 Suppl 2):e16-25. doi: 10.1097/PHM.0b013e3182a20a34.
4
A meta-analysis of factors affecting trust in human-robot interaction.元分析影响人机交互信任的因素。
Hum Factors. 2011 Oct;53(5):517-27. doi: 10.1177/0018720811417254.
5
Psychological state estimation from physiological recordings during robot-assisted gait rehabilitation.机器人辅助步态康复过程中基于生理记录的心理状态估计
J Rehabil Res Dev. 2011;48(4):367-85. doi: 10.1682/jrrd.2010.03.0044.
6
The Armeo Spring as training tool to improve upper limb functionality in multiple sclerosis: a pilot study.Armeo Spring 作为一种训练工具,可改善多发性硬化症患者的上肢功能:一项初步研究。
J Neuroeng Rehabil. 2011 Jan 24;8:5. doi: 10.1186/1743-0003-8-5.
7
Design and Characterization of Hand Module for Whole-Arm Rehabilitation Following Stroke.中风后全臂康复手部模块的设计与特性分析
IEEE ASME Trans Mechatron. 2007 Aug 1;12(4):399-407. doi: 10.1109/TMECH.2007.901928.
8
Multicenter randomized clinical trial evaluating the effectiveness of the Lokomat in subacute stroke.评估Lokomat在亚急性中风中有效性的多中心随机临床试验。
Neurorehabil Neural Repair. 2009 Jan;23(1):5-13. doi: 10.1177/1545968308326632.
9
Post-stroke depression.中风后抑郁症
Rev Neurol (Paris). 2008 Oct;164(10):837-40. doi: 10.1016/j.neurol.2008.07.010. Epub 2008 Sep 3.
10
Depression and anxiety 3 months post stroke: prevalence and correlates.中风后3个月的抑郁和焦虑:患病率及相关因素。
Arch Clin Neuropsychol. 2007 May;22(4):519-31. doi: 10.1016/j.acn.2007.03.002. Epub 2007 Apr 26.

将心理策略应用于机器人辅助物理治疗以提高治疗效果。

Bringing Psychological Strategies to Robot-Assisted Physiotherapy for Enhanced Treatment Efficacy.

作者信息

Zhong Bin, Niu Wenxin, Broadbent Elizabeth, McDaid Andrew, Lee Tatia M C, Zhang Mingming

机构信息

Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.

Shanghai Yangzhi Rehabilitation Hospital, Tongji University School of Medicine, Shanghai, China.

出版信息

Front Neurosci. 2019 Sep 18;13:984. doi: 10.3389/fnins.2019.00984. eCollection 2019.

DOI:10.3389/fnins.2019.00984
PMID:31619954
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6759573/
Abstract

Robotic technologies offer a range of functions to augment clinical rehabilitation practice. However, compliance with robot-assisted rehabilitation techniques has not been optimally achieved. Traditional approaches to improving the treatment efficacy are focusing more on the system function, while psychological factors have not been integrated comprehensively. In this perspective paper, eight key factors reflecting three conceptions-robot design, function design, and patients' expectations have been evaluated and analyzed. Clinical results with 28 therapists and 84 patients indicate that integrating psychological strategies into robot-assisted physiotherapy may promote better trust and acceptance of rehabilitation robots.

摘要

机器人技术为增强临床康复实践提供了一系列功能。然而,尚未达到对机器人辅助康复技术的最佳依从性。提高治疗效果的传统方法更多地侧重于系统功能,而心理因素尚未得到全面整合。在这篇观点论文中,对反映机器人设计、功能设计和患者期望这三个概念的八个关键因素进行了评估和分析。对28名治疗师和84名患者的临床结果表明,将心理策略融入机器人辅助物理治疗中可能会促进对康复机器人更好的信任和接受。