• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

测量脑卒中患者机器人辅助神经康复过程中的运动动力学变化。

Measuring changes of movement dynamics during robot-aided neurorehabilitation of stroke patients.

机构信息

"Salvatore Maugeri" Foundation, IRCCS, Service of Rehabilitation Engineering, 27100 Pavia, Italy.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2010 Feb;18(1):75-85. doi: 10.1109/TNSRE.2009.2028831. Epub 2009 Aug 7.

DOI:10.1109/TNSRE.2009.2028831
PMID:19666344
Abstract

The aim of this study was to describe in detail a new method, called normalized force control parameter (nFCP), to measure changes in movement dynamics obtained during robot-aided neurorehabilitation, and to evaluate its ability to estimate the clinical scales. The study was conducted in a group of 18 subjects after chronic stroke who underwent robot therapy of the upper limb. We used two different measures of movement dynamics to assess patients' performance during each session of training: the nFCP and force directional error (FDE), both measuring the directional error of the patient-exerted force applied to the end-effector of the robot device. Both metrics exhibited significant changes over the three-week course of treatment. The comparison between nFCP and FDE slopes showed a significant and high correlation ( r = 0.79; p < 0.001), indicating that the two parameters are closely correlated. The FDE informed on the direction of the force error, while the nFCP showed a better performance in predicting the clinical scale values. Assessment of the time course of recovery showed that nFCP, FDE and the movement smoothness improved quickly at first and then plateaued, while steady gains in mean velocity of movement took place over a longer time course. These data may be helpful to the therapist in developing more effective robot-based therapy protocols.

摘要

本研究的目的是详细描述一种新的方法,称为归一化力控制参数(nFCP),以测量机器人辅助神经康复过程中获得的运动动力学变化,并评估其估计临床量表的能力。该研究在 18 名慢性中风后接受上肢机器人治疗的受试者中进行。我们使用两种不同的运动动力学测量来评估患者在每次训练过程中的表现:nFCP 和力方向误差(FDE),两者都测量患者施加到机器人设备末端执行器的力的方向误差。在为期三周的治疗过程中,这两个指标都发生了显著变化。nFCP 和 FDE 斜率之间的比较显示出显著的高度相关性(r=0.79;p<0.001),表明这两个参数密切相关。FDE 提供了力误差的方向信息,而 nFCP 在预测临床量表值方面表现更好。对恢复时间过程的评估表明,nFCP、FDE 和运动平滑度最初迅速提高,然后趋于平稳,而运动平均速度的稳定增加则需要更长的时间。这些数据可能有助于治疗师制定更有效的基于机器人的治疗方案。

相似文献

1
Measuring changes of movement dynamics during robot-aided neurorehabilitation of stroke patients.测量脑卒中患者机器人辅助神经康复过程中的运动动力学变化。
IEEE Trans Neural Syst Rehabil Eng. 2010 Feb;18(1):75-85. doi: 10.1109/TNSRE.2009.2028831. Epub 2009 Aug 7.
2
Robotic techniques for upper limb evaluation and rehabilitation of stroke patients.用于中风患者上肢评估与康复的机器人技术。
IEEE Trans Neural Syst Rehabil Eng. 2005 Sep;13(3):311-24. doi: 10.1109/TNSRE.2005.848352.
3
Assessing mechanisms of recovery during robot-aided neurorehabilitation of the upper limb.评估上肢机器人辅助神经康复过程中的恢复机制。
Neurorehabil Neural Repair. 2008 Jan-Feb;22(1):50-63. doi: 10.1177/1545968307303401. Epub 2007 Jul 11.
4
Quantitative EEG for Predicting Upper Limb Motor Recovery in Chronic Stroke Robot-Assisted Rehabilitation.用于预测慢性中风机器人辅助康复中上肢运动恢复情况的定量脑电图
IEEE Trans Neural Syst Rehabil Eng. 2017 Jul;25(7):1058-1067. doi: 10.1109/TNSRE.2017.2678161. Epub 2017 Mar 3.
5
Assistive control system using continuous myoelectric signal in robot-aided arm training for patients after stroke.用于中风后患者机器人辅助手臂训练的基于连续肌电信号的辅助控制系统。
IEEE Trans Neural Syst Rehabil Eng. 2008 Aug;16(4):371-9. doi: 10.1109/TNSRE.2008.926707.
6
Robot-aided neurorehabilitation: a robot for wrist rehabilitation.机器人辅助神经康复:一种用于手腕康复的机器人。
IEEE Trans Neural Syst Rehabil Eng. 2007 Sep;15(3):327-35. doi: 10.1109/TNSRE.2007.903899.
7
Training stroke patients with continuous tracking movements: evaluating the improvement of voluntary control.对中风患者进行连续跟踪运动训练:评估自主控制能力的改善情况。
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5961-4. doi: 10.1109/IEMBS.2009.5334525.
8
Mechanisms of motor recovery in chronic and subacute stroke patients following a robot-aided training.机器人辅助训练后慢性和亚急性中风患者运动恢复的机制
IEEE Trans Haptics. 2014 Apr-Jun;7(2):175-80. doi: 10.1109/TOH.2013.73.
9
Effects of robot-aided bilateral force-induced isokinetic arm training combined with conventional rehabilitation on arm motor function in patients with chronic stroke.机器人辅助双侧力诱导等速手臂训练联合传统康复对慢性脑卒中患者手臂运动功能的影响
Arch Phys Med Rehabil. 2007 Oct;88(10):1332-8. doi: 10.1016/j.apmr.2007.07.016.
10
Test-retest reliability of robotic assessment measures for the evaluation of upper limb recovery.用于评估上肢恢复情况的机器人评估测量方法的重测信度。
IEEE Trans Neural Syst Rehabil Eng. 2014 Sep;22(5):1020-9. doi: 10.1109/TNSRE.2014.2306571. Epub 2014 Feb 20.

引用本文的文献

1
Reliability and validity of digital health metrics for assessing arm and hand impairments in an ataxic disorder.评估共济失调障碍患者手臂和手部障碍的数字健康指标的信度和效度。
Ann Clin Transl Neurol. 2022 Apr;9(4):432-443. doi: 10.1002/acn3.51493. Epub 2022 Feb 27.
2
Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands.机器人辅助中风后上肢训练:一项采用组合方法以减少劳动力需求的随机对照试验。
Front Neurol. 2021 Jun 2;12:622014. doi: 10.3389/fneur.2021.622014. eCollection 2021.
3
Effects of Hemispheric Stroke Localization on the Reorganization of Arm Movements within Different Mechanical Environments.
半球性卒中定位对不同力学环境下手臂运动重组的影响。
Life (Basel). 2021 Apr 23;11(5):383. doi: 10.3390/life11050383.
4
Bimanual motor skill learning and robotic assistance for chronic hemiparetic stroke: a randomized controlled trial.慢性偏瘫性卒中的双手运动技能学习与机器人辅助:一项随机对照试验。
Neural Regen Res. 2021 Aug;16(8):1566-1573. doi: 10.4103/1673-5374.301030.
5
Robotic Assessment of Upper Limb Function in a Nonhuman Primate Model of Chronic Stroke.慢性中风非人灵长类动物模型中上肢功能的机器人评估
Transl Stroke Res. 2021 Aug;12(4):569-580. doi: 10.1007/s12975-020-00859-0. Epub 2021 Jan 3.
6
Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study.用于个性化机器人辅助治疗的运动改善估计和任务适应:一项可行性研究。
Biomed Eng Online. 2020 May 14;19(1):33. doi: 10.1186/s12938-020-00779-y.
7
Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects.上肢机器人辅助康复过程中跟踪患者进展的运动学参数:一项针对亚急性中风患者的观察性研究
Appl Bionics Biomech. 2019 Oct 21;2019:4251089. doi: 10.1155/2019/4251089. eCollection 2019.
8
Electrical, Hemodynamic, and Motor Activity in BCI Post-stroke Rehabilitation: Clinical Case Study.脑机接口中风后康复中的电活动、血流动力学和运动活动:临床案例研究。
Front Neurol. 2018 Dec 20;9:1135. doi: 10.3389/fneur.2018.01135. eCollection 2018.
9
Upper Limb Rehabilitation Robot Powered by PAMs Cooperates with FES Arrays to Realize Reach-to-Grasp Trainings.由 PAMs 驱动的上肢康复机器人与 FES 阵列配合实现伸手抓握训练。
J Healthc Eng. 2017;2017:1282934. doi: 10.1155/2017/1282934. Epub 2017 Jun 15.
10
Robot-assisted assessment of muscle strength.机器人辅助肌肉力量评估。
J Neuroeng Rehabil. 2017 Oct 11;14(1):103. doi: 10.1186/s12984-017-0314-2.