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2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)最新文献

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Design and Development of a Novel Core, Balance and Lower Limb Rehabilitation Robot: hunova® 一种新型核心、平衡和下肢康复机器人的设计与开发:hunova®
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779531
J. Saglia, A. D. Luca, V. Squeri, Lucia Ciaccia, Carlo Sanfilippo, Simone Ungaro, L. Michieli
This article describes the motivation behind and the technical aspects at the basis of the development of the innovative rehabilitation robot hunova®. The paper describes in detail the hardware and software design of the system and summarizes the clinical studies carried out to validate the technology.
这篇文章描述了背后的动机和技术方面的基础上,创新的康复机器人hunova®的发展。本文详细介绍了该系统的硬件和软件设计,并总结了为验证该技术而进行的临床研究。
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引用次数: 24
A Comprehensive Analysis of Sensorimotor Mechanisms of Inter-Leg Coordination in Gait Using the Variable Stiffness Treadmill: Physiological Insights for Improved Robot-Assisted Gait Therapy 利用可变刚度跑步机对步态中腿间协调的感觉运动机制进行综合分析:改进机器人辅助步态治疗的生理学见解
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779466
J. Skidmore, P. Artemiadis
Rehabilitation robotics is an emerging field in which gait training has been largely automated allowing more intensive, repetitive motions which are important for facilitating recovery. However, there is no clear evidence that robot-assisted gait training is superior to conventional therapy. A limitation of current approaches to gait therapy is that they do not consider mechanisms of inter-leg coordination and how the sensory feedback from one leg affects the motion of the other leg. Instead they impose motion on the impaired limb. Recent research suggests that utilizing the coupling between limbs in stroke rehabilitation therapies could lead to improved functional outcome. Therefore, a fundamental understanding of underlying sensorimotor mechanisms of inter-leg coordination may facilitate improved interventions in gait therapy. This paper systematically explores and analyzes a sensorimotor mechanism of inter-leg coordination that is stimulated through sudden unilateral low-stiffness perturbations to the walking surface. The potential contribution of each sensory modality to the perception and response of the perturbation will be investigated. Additionally, the neural pathway that relays the sensory signal into the motor output will be described in order to fully characterize this sensorimotor mechanism of inter-leg coordination. This work provides physiological understanding of inter-leg coordination that will benefit robot-assisted gait therapies.
康复机器人是一个新兴的领域,步态训练在很大程度上是自动化的,允许更密集、重复的运动,这对促进康复很重要。然而,没有明确的证据表明机器人辅助步态训练优于传统疗法。当前步态治疗方法的一个局限性是,它们没有考虑腿间协调的机制,以及一条腿的感觉反馈如何影响另一条腿的运动。相反,它们让受损的肢体动起来。最近的研究表明,在中风康复治疗中利用四肢之间的耦合可以改善功能结果。因此,对腿间协调的潜在感觉运动机制的基本理解可能有助于改善步态治疗的干预措施。本文系统地探讨和分析了一种感觉运动机制,这种机制是通过对行走表面的突然单侧低刚度扰动来刺激的。将研究每种感觉模态对扰动的感知和反应的潜在贡献。此外,将感觉信号传递到运动输出的神经通路将被描述,以充分表征这种腿间协调的感觉运动机制。这项工作提供了对腿间协调的生理学理解,这将有利于机器人辅助步态治疗。
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引用次数: 3
Development and Evaluation of a Novel Passive Wrist Bilateral Rehabilitation Device paired with Virtual Reality: A Feasibility Study 一种新型虚拟现实腕部双侧被动康复装置的开发与评估:可行性研究
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779548
Doyoung Park, Jen-Shuan Chang, Hsiao-Ju Cheng, M. Ashsiddique, B.M.O. Hauk, Haoyong Yu
This paper introduces a novel passive wrist bilateral rehabilitation device coupled with a new Virtual Reality (VR) platform. This is the first work to have adapted three-link coaxial spherical parallel manipulator (SPM) to wrist rehabilitation. The device comprises a coaxial SPM and cross-connected cable system. The coaxial SPM facilitates 3 degrees of freedom (DOFs) spherical wrist orientation and singularity-free motion within its workspace. The cross-connected cable system enables bilateral symmetrical exercises in passive mode training. A VR platform with activities of daily living (ADL) task was developed and coupled with the device to increase the adherence of the users to the device. Experiments were conducted with fifteen healthy right-handed individuals with no history of wrist or hand injury to evaluate the feasibility of the system for providing passive bilateral training as well as the effectiveness of the VR platform. Subjects were asked to use their right arms to move the left arms passively through the device to perform four wrist movements, flexion, extension, radial deviation, and ulnar deviation. EMG activations on the left arm were observed when the right arm passively moved the left arm. The results showed that the device was capable of inducing the muscle activation of the left arm and the VR platform increased the motivation to continue the exercises. This demonstrates that this study can serve as the fundamental for larger clinical trials.
本文介绍了一种新型的与虚拟现实(VR)平台相结合的腕部双侧被动康复装置。这是首次将三连杆同轴球面并联机械臂(SPM)应用于腕部康复。该装置包括同轴SPM和交叉连接的电缆系统。同轴SPM在其工作空间内实现3自由度(DOFs)球面腕关节定向和无奇点运动。在被动模式训练中,交叉连接的电缆系统使双边对称练习成为可能。开发了具有日常生活活动(ADL)任务的VR平台,并与设备相结合,以增加用户对设备的依从性。实验对象为15名无手腕或手部损伤史的健康右利手,以评估该系统提供被动双侧训练的可行性以及VR平台的有效性。受试者被要求用他们的右臂被动地移动左臂通过该装置进行四种手腕运动,屈、伸、桡偏和尺偏。当右臂被动地移动左臂时,观察到左臂的肌电图激活。结果表明,该设备能够诱导左臂肌肉激活,VR平台增加了继续锻炼的动力。这表明本研究可以作为更大规模临床试验的基础。
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引用次数: 1
Development of a Pneumatic Exoskeleton Robot for Lower Limb Rehabilitation* 用于下肢康复的气动外骨骼机器人的研制*
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779522
R. Goergen, A. C. Valdiero, L. A. Rasia, Mauricio Oberdörfer, J. P. D. Souza, R. S. Gonçalves
Nowadays, many people suffer from physical disabilities caused by illness or accidents. The problems in the lower limb are one of the main that interrupt the activities of daily life of these people. To assist them in the activities of daily living, many support devices for upper and lower limb movement have been developed. In this paper is proposed a new simple and low-cost pneumatic robotic mechanism for lower limb rehabilitation. We employ a pneumatic actuator so that it is possible to obtain safety for the operation and the control of the force by the appropriate regulation of the pressures in the pneumatic cylinder chambers of the robot for rehabilitation. This work deals with the development of the robot for rehabilitation from a methodology of integration of mathematical modeling with the phases of the design process. It is concluded that the results obtained are a modular design that can be improved for multiple degrees of freedom and adapted also for rehabilitation of upper limbs.
如今,许多人因疾病或事故而身体残疾。下肢的问题是中断这些人日常生活活动的主要原因之一。为了帮助他们进行日常生活活动,已经开发了许多用于上肢和下肢运动的支持装置。本文提出了一种简单、低成本的新型下肢康复气动机器人机构。我们采用气动执行器,以便通过适当调节康复机器人气缸腔内的压力来获得操作的安全性和对力的控制。这项工作涉及机器人康复的发展,从数学建模与设计过程的各个阶段相结合的方法。结果表明,所获得的结果是一种模块化设计,可以改进为多个自由度,也适用于上肢的康复。
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引用次数: 5
Robot-Aided Upper-limb Proprioceptive Training in Three-Dimensional Space 三维空间机器人辅助上肢本体感觉训练
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779529
Bulmaro A. Valdés, Mahta Khoshnam, J. Neva, C. Menon
Proprioception, the ability to sense body position and limb movements in space without visual feedback, is one of the key factors in controlling body movements and performing activities of daily living. However, this capability might be affected after neural injuries such as stroke. Robotic platforms can be used to monitor and promote arm movements and, therefore, can assist in developing rehabilitation protocols that aim to improve proprioception through repetitive reaching motions without vision. The objective of this paper is to investigate if a robotic training protocol improves the end-position reaching proprioceptive sense in three-dimensional (3D) space. As an initial step towards clinical application, a robotic platform was employed to train the end-position proprioceptive sense in six healthy participants. During the training phase, volunteers used their dominant hand to reach without vision to two different targets in 3D space. Positions of these targets were carefully chosen to create a hand movement pattern similar to that used when self-feeding, which is an important activity of daily living. At the end of each training trial, participants were provided with visual feedback to help them move their hands to the exact locations confirmed through haptic feedback. Their performance was evaluated before and after the training in an assessment phase during which participants were asked to move from the start position to the same two targets as well as an additional third one without any visual or haptic feedback. The results from this study show significant improvements in overall reaching accuracy and trajectory smoothness, demonstrated by 41% decrease in the average end-position error and 13% reduction in the average index of curvature after the training. This research suggests the potential of designing robotic rehabilitation protocols for improving 3D proprioception.
本体感觉是在没有视觉反馈的情况下感知身体位置和肢体运动的能力,是控制身体运动和进行日常生活活动的关键因素之一。然而,这种能力可能会在神经损伤(如中风)后受到影响。机器人平台可用于监测和促进手臂运动,因此,可以帮助制定康复方案,旨在通过无视觉的重复性伸展运动来改善本体感觉。本文的目的是研究机器人训练方案是否能提高机器人在三维空间中到达本体感觉的末端位置。作为临床应用的第一步,使用机器人平台对6名健康参与者进行末端位置本体感觉的训练。在训练阶段,志愿者在没有视觉的情况下,用惯用手去触摸三维空间中的两个不同目标。这些目标的位置经过精心选择,以创造类似于自我进食时使用的手部运动模式,这是日常生活的重要活动。在每次训练试验结束时,参与者都会获得视觉反馈,以帮助他们将手移动到通过触觉反馈确定的准确位置。在训练前后的一个评估阶段,参与者被要求从起始位置移动到相同的两个目标,以及在没有任何视觉或触觉反馈的情况下移动到另外一个目标。研究结果表明,经过训练后,平均末端位置误差降低41%,平均曲率指数降低13%,整体到达精度和轨迹平滑度均有显著提高。这项研究表明,设计机器人康复方案的潜力,以提高3D本体感觉。
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引用次数: 3
ExoProsthetics: Assisting Above-Knee Amputees with a Lightweight Powered Hip Exoskeleton 外骨骼:用轻便的动力髋骨外骨骼帮助膝盖以上的截肢者
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779412
M. Ishmael, M. Tran, T. Lenzi
In this paper, we explore the effect of residual hip assistance in one above-knee amputee subject using a novel lightweight powered hip exoskeleton. Differently from a powered prosthesis, a powered hip exoskeleton adds mass proximally. Thus, we expect that the negative effect of the added mass will be lower for a powered hip exoskeleton than a powered ankle and knee prosthesis. Consequently, residual-hip assistance may more easily lead to a net reduction of metabolic effort. To preliminarily assess this hypothesis, we measured the physiological cost index (PCI) while an above-knee subject walked with and without a powered hip exoskeleton. Experimental results show 20.5% reduction of PCI when walking with the powered hip exoskeleton.
在本文中,我们使用一种新型的轻量级动力髋关节外骨骼,探讨了残余髋关节辅助对一名膝盖以上截肢者的影响。与动力假肢不同,动力髋关节外骨骼增加了近端质量。因此,我们预计,与动力踝关节和膝关节假体相比,动力髋关节外骨骼增加的质量的负面影响将会更小。因此,残余髋关节辅助可能更容易导致代谢努力的净减少。为了初步评估这一假设,我们测量了膝盖以上受试者在有动力髋关节外骨骼和没有动力髋关节外骨骼时的生理成本指数(PCI)。实验结果表明,使用动力髋外骨骼行走时PCI降低20.5%。
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引用次数: 16
Balance Control Strategies during Standing in a Locked-Ankle Passive Exoskeleton 锁踝被动外骨骼站立时的平衡控制策略
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779500
J. Fasola, T. Vouga, Romain Baud, H. Bleuler, M. Bouri
This paper investigates sensorimotor adaptation strategies of sagittal postural control in healthy subjects under kinematic constraints. A passive exoskeleton named CAPTUR, with locked ankle joints and legs motion restrained to the sagittal plane is used to restrict and measure participant’s movements. The aim is to assess the role of the orientation of the shank and the trunk segments in maintaining the body center of mass above its support base, while the ankle strategy is inhibited. Five young healthy participants were asked to keep standing, while their balance was challenged by five experimental conditions. Participants mainly regulated quiet standing balance by flexing/extending the knees, in order to affect the shank and feet angles, and move the contact patch along the sagittal axis. In this case, the orientation of the trunk segment changes synchronously with the shank angle to keep an upright posture. Responses to more dramatic excursions of the center of pressure are ensured by changing the trunk tilt angle in opposition of phase with the shank angle. These observations could be used to implement a bioinspired balance controller for such constrained lower-limb exoskeletons.
本文研究了运动约束下健康受试者矢状位控制的感觉运动适应策略。一种名为CAPTUR的被动式外骨骼,具有锁定的踝关节和限制在矢状面的腿部运动,用于限制和测量参与者的运动。目的是评估小腿和躯干部分的方向在保持身体质量中心高于其支撑基础的作用,而脚踝的策略被抑制。五名年轻健康的参与者被要求保持站立,同时他们的平衡受到五种实验条件的挑战。参与者主要通过弯曲/伸展膝盖来调节静立平衡,以影响小腿和脚的角度,并沿着矢状轴移动接触片。在这种情况下,躯干部分的方向与小腿角度同步变化,以保持直立姿势。通过改变与杆角相反的躯干倾斜角度,可以保证对更剧烈的压力中心偏移的响应。这些观察结果可用于实现这种受限的下肢外骨骼的仿生平衡控制器。
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引用次数: 14
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement 上肢运动中肌电手势识别训练时间与表现的权衡分析
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779535
Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, M. Atzori, Henning Müller
Although remarkable improvements have been made, the natural control of hand prostheses in everyday life is still challenging. Changes in limb position can considerably affect the robustness of pattern recognition-based myoelectric control systems, even if various strategies were proposed to mitigate this effect. In this paper, we investigate the possibility of selecting a set of training movements that is robust to limb position change, performing a trade-off between training time and accuracy. Four able-bodied subjects were recorded while following a training protocol for myoelectric hand prostheses control. The protocol is composed of 210 combinations of arm positions, forearm orientations, wrist orientations and hand grasps. To the best of our knowledge, it is among the most complete including changes in limb positions. A training reduction paradigm was used to select subsets of training movements from a group of subjects that were tested on the left-out subject's data. The results show that a reduced training set (30 to 50 movements) allows a substantial reduction of the training time while maintaining reasonable performance, and that the trade-off between performance and training time appears to depend on the chosen classifier. Although further improvements can be made, the results show that properly selected training sets can be a viable strategy to reduce the training time while maximizing the performance of the classifier against variations in limb position.
尽管已经取得了显著的进步,但在日常生活中对假肢的自然控制仍然具有挑战性。肢体位置的变化可以显著影响基于模式识别的肌电控制系统的鲁棒性,即使提出了各种策略来减轻这种影响。在本文中,我们研究了选择一组对肢体位置变化具有鲁棒性的训练动作的可能性,在训练时间和准确性之间进行权衡。四名身体健全的受试者在遵循肌电手假体控制训练方案时进行了记录。该方案由210种手臂姿势、前臂方向、手腕方向和手抓握的组合组成。据我们所知,它是最完整的,包括肢体位置的变化。使用训练简化范式从一组被试中选择训练动作子集,对被试的数据进行测试。结果表明,减少的训练集(30到50个动作)可以在保持合理性能的同时大幅减少训练时间,并且性能和训练时间之间的权衡似乎取决于所选择的分类器。虽然还可以进一步改进,但结果表明,适当选择训练集是一种可行的策略,可以减少训练时间,同时最大限度地提高分类器对肢体位置变化的性能。
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引用次数: 4
The Effect of an Automatically Levelling Wrist Control System 自动调平手腕控制系统的效果
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779444
Dylan J. A. Brenneis, M. R. Dawson, Hiroki Tanikawa, Jacqueline S. Hebert, J. Carey, P. Pilarski
Upper limb loss is a devastating injury for which current prosthetic replacement inadequately compensates. A lack of wrist movement in prostheses due to mechanical design and control system considerations compels prosthetic users to employ compensatory movements using their upper back and shoulder that can eventually result in strain and overuse injuries. One possible means of easing this control burden is to allow a prosthetic wrist to self-regulate, keeping the terminal device of the prosthesis level relative to the ground when appropriate, such as when raising a cup of liquid. This study aims to outline such a wrist control scheme, and evaluate its function in terms of the effect on compensatory movements, objective system performance, and subjective perception of system performance based on user feedback. To that end, twelve able-bodied participants were recruited to control a body-mounted robotic arm using three different control schemes: fixed-wrist (FW), sequential switching (SS), and automatic levelling (AL). The resulting movement strategies were recorded for two different tasks using 3D motion-capture. SS and AL control schemes induced similar movement strategies and less compensation than FW for horizontal movements, while AL reduced shoulder flexion compared to FW and SS for vertical movements. However, AL was ranked less intuitive and less reliable than the FW. AL and SS both seemed to involve more conscious thought to operate than FW. These results suggest that more complex wrist control schemes may indeed be able to eliminate harmful compensatory movements, but reinforce prior observations that control must be reliable and simple to use or people will opt for an easier system.
上肢丧失是一种毁灭性的伤害,目前的假肢置换无法充分补偿。由于机械设计和控制系统的考虑,假体缺乏手腕运动,迫使假体使用者使用他们的上背部和肩部进行补偿性运动,最终可能导致劳损和过度使用损伤。减轻这种控制负担的一种可能的方法是允许假体手腕自我调节,在适当的时候保持假体的终端设备相对于地面的水平,比如在举起一杯液体的时候。本研究旨在概述这样一种手腕控制方案,并根据用户反馈,从对代偿运动的影响、客观系统性能以及对系统性能的主观感知三个方面评估其功能。为此,研究人员招募了12名健全的参与者,让他们使用三种不同的控制方案来控制安装在身体上的机械臂:固定手腕(FW)、顺序切换(SS)和自动调平(AL)。使用3D动作捕捉技术记录了两种不同任务的运动策略。SS和AL控制方案在水平运动中诱导的运动策略与FW相似,且补偿比FW少,而AL控制方案在垂直运动中比FW和SS减少了肩部屈曲。然而,人工智能的直觉性和可靠性不如FW。与FW相比,ai和SS似乎都需要更多的有意识思维来操作。这些结果表明,更复杂的手腕控制方案可能确实能够消除有害的代偿运动,但强化了先前的观察,即控制必须可靠且易于使用,否则人们将选择更简单的系统。
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引用次数: 2
Predicting upper limb compensation during prehension tasks in tetraplegic spinal cord injured patients using a single wearable sensor 利用单一可穿戴传感器预测四肢瘫痪脊髓损伤患者在抓取任务中的上肢补偿
Pub Date : 2019-06-01 DOI: 10.1109/ICORR.2019.8779561
Sophie Schneider, W. Popp, M. Brogioli, Urs Albisser, Stefan J Ortmann, Inge-Marie Velstra, László Demkó, R. Gassert, A. Curt
Upper limb (UL) compensation is a common strategy of patients with a high spinal cord injury (SCI), i.e., tetraplegic patients, to perform activities of daily living (ADLs) despite their sensorimotor deficits. Currently, an objective and sensitive tool to assess UL compensation, which is applicable in the clinical routine and in the daily life of patients, is missing. In this work, we propose a metric to quantify this compensation using a single inertial measurement unit (IMU). The spread of forearm pitch angles of an IMU attached to the wrist of 17 SCI patients and 18 healthy controls performing six prehension tasks of the graded redefined assessment of strength, sensibility and prehension (GRASSP) was extracted. Using the spread of the forearm pitch angles, a classification of UL compensation was possible with very good to excellent accuracies in all six different prehension tasks. Furthermore, the spread of forearm pitch angles correlated moderately to very strongly with qualitative and quantitative GRASSP prehension scores and the task duration. Therefore, we conclude that our proposed method has a high potential to classify compensation accurately and objectively and might be used to quantify the degree of UL compensation in ADLs. Thus, this method could be implemented in clinical trials investigating the effectiveness of interventions targeting UL functions.
上肢(UL)代偿是高度脊髓损伤(SCI)患者,即四肢瘫痪患者在感觉运动缺陷的情况下进行日常生活活动(adl)的常见策略。目前缺乏一种既适用于临床常规又适用于患者日常生活的客观、灵敏的评估UL代偿的工具。在这项工作中,我们提出了一个度量来量化使用单个惯性测量单元(IMU)的补偿。选取17例脊髓损伤患者和18例健康对照进行6项强度、敏感性和握力分级重定义评估(GRASSP)的抓握任务,并对其腕部附着的IMU进行前臂俯俯角扩展。使用前臂俯仰角的扩展,可以在所有六种不同的抓取任务中以非常好的准确度对UL补偿进行分类。此外,前臂俯仰角的分布与定性和定量的GRASSP理解得分和任务持续时间有中等到非常强的相关性。因此,我们认为我们提出的方法具有很高的潜力,可以准确客观地分类补偿,并可用于量化adl中UL补偿的程度。因此,该方法可用于临床试验,研究针对UL功能的干预措施的有效性。
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引用次数: 4
期刊
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)
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