COLLABORATIVE RESEARCH: ARWED - AUGMENTED PERCEPTION FOR UPPER-LIMB REHABILITATION

合作研究：ARWED - 上肢康复的增强感知

• 批准号: 1403502
• 负责人: Amarnath Banerjee
• 金额: $ 20万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-15 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1403502&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; ARWED; AUGMENTED; PERCEPTION

PI: Banerjee, Amarnath/Perez Gracia, Alba/Robson, NinaProposal Number: 1403502/1403688/1404011Title: Collaborative Research: ARWED - Augmented Perception for Upper-Limb RehabilitationBroader Significance & Importance Training and retraining the movement of individuals suffering loss of motor ability due to stroke is a challenging task. In many cases, only partial success is accomplished after long training sessions. Given the limitations of recovery for post-stroke patients, it is imperative that better tools and methods for retraining be developed. Even though several training hypotheses exist, such as need for an exact repetition of the training pattern, the solutions are still to be found. Overcoming some of these obstacles is the goal of this proposal. Recent studies show a direct link between human action perception and action execution. There is some evidence that the visual observation of human actions has an effect on the movement of the observer. This priming effect is reduced, or not present, when the motion is executed by a non-human device, such as a robot. This proposal aims to develop and test a novel wearable system for the training of the human arm. The system will allow the user to perceive the device as part of their upper limb (hence closing the perception/action loop). Training protocols based on observational learning findings will be implemented with the ARWED in order to develop it as rehabilitation training device for motor recovery in post-stroke patients.Technical description The intellectual merit centers on exploiting the link between action-observation and action execution in order to develop training protocols to facilitate rehabilitation following stroke. Currently, there are limited systems that utilize virtual reality in the relearning of biological movements. The proposed development of augmented wearable system (ARWED) requires solving several challenges in computer vision/modeling, and robot kinematic mapping. Testing the effectiveness of the device on priming the perception-action effect will require combined expertise from the areas of human kinematics, signal analysis, virtual reality, robotic fault recovery theory and rehabilitation. Therefore, the theoretical contributions emerging from this multidisciplinary collaborative research team will advance knowledge and understanding not only within the medical field, but also across the above-mentioned research areas. The broader impact is based on the characteristics of the device to be developed, with an expanded ability in the training and re-training of patients with motor disabilities. Efficient design and manipulation will make the proposed ARWED system a reliable solution, which will be broadly utilized by medical professionals working in rehabilitation, sports therapy and convalescence. The proposed research will provide effective tools for the training and physical rehabilitation of patients with limb limitations at any scale, ranging from individuals suffering partial loss of motor ability to those with severe limitations in mobility due to strokes, birth defects or accidents. Motor learning theory shows that reducing feedback during practice benefits long term retention of motor skill training. Observational learning may offer greater benefits regarding transfer to ADLs, in comparison to robotic-based stroke training. Thus, a success indicator for these patients would be the beneficial transfer of training from the un-affected to affected limb or vice-versa. The ARWED system is expected to advance significantly the fundamentals of engineering and scientific knowledge, by implementing the device in experimental and educational work on cognition, telemanipulation and virtual reality. The medical community would also benefit from the development of the ARWED by furthering the understanding of how training using technology may enhance the recovery of motor control in diverse populations while providing a novel intervention that may prove more effective than what is currently available. The collaborative nature of the research team will lead to the education of undergraduate and graduate students in the areas of Engineering and Kinesiology. In the long run, the outcomes of the proposal will facilitate the communication between students that want to enter Physical and Occupational Therapy professions and those that want to design and develop mechanical devices that can aid in human recovery following neurological injury.

主要研究者：Banerjee，Amarnath/Perez Gracia，Alba/Robson，Nina提案编号：1403502/1403688/1404011标题：合作研究：ARWED -上肢再训练增强感知更广泛的&意义 训练和再训练因中风而丧失运动能力的个体的运动是一项具有挑战性的任务。在许多情况下，经过长时间的训练后，只取得了部分成功。考虑到中风后患者恢复的局限性，开发更好的再培训工具和方法势在必行。尽管存在一些培训假设，例如需要精确重复培训模式，但仍需找到解决方案。克服其中一些障碍是本提案的目标。最近的研究表明，人类的动作感知和动作执行之间有直接的联系。有一些证据表明，人类行为的视觉观察对观察者的运动有影响。当运动由非人类设备（诸如机器人）执行时，这种启动效应被降低或不存在。该提案旨在开发和测试一种用于训练人类手臂的新型可穿戴系统。该系统将允许用户将该设备视为其上肢的一部分（从而闭合感知/动作循环）。基于观察学习结果的训练方案将与ARWED一起实施，以将其开发为中风后患者运动恢复的康复训练设备。技术描述 智力价值集中在利用行动观察和行动执行之间的联系，以制定训练方案，以促进中风后的康复。目前，在生物运动的再学习中利用虚拟现实的系统有限。增强可穿戴系统（ARWED）的发展需要解决计算机视觉/建模，机器人运动学映射的几个挑战。测试设备在引发感知-动作效应方面的有效性将需要来自人类运动学、信号分析、虚拟现实、机器人故障恢复理论和康复领域的综合专业知识。因此，这个多学科合作研究团队的理论贡献将不仅在医学领域内，而且在上述研究领域内推进知识和理解。 更广泛的影响基于待开发器械的特征，在运动残疾患者的培训和再培训方面具有扩展能力。高效的设计和操作将使拟议的ARWED系统成为一个可靠的解决方案，这将被广泛使用的医疗专业人员在康复，运动治疗和康复。拟议的研究将为任何规模的肢体限制患者的训练和身体康复提供有效的工具，从患有部分运动能力丧失的个体到因中风，出生缺陷或事故而严重限制活动的个体。运动学习理论表明，减少练习中的反馈有利于运动技能训练的长期保持。与基于机器人的中风训练相比，观察性学习可能在向ADL转移方面提供更大的益处。因此，这些患者的成功指标将是训练从未受影响的肢体到受影响的肢体的有益转移，反之亦然。ARWED系统预计将通过在认知、远程操纵和虚拟现实的实验和教育工作中实施该设备，大大推进工程和科学知识的基础。医学界也将受益于ARWED的发展，通过进一步了解使用技术的培训如何增强不同人群的运动控制恢复，同时提供一种可能比目前可用的更有效的新干预措施。研究团队的协作性质将导致工程和人体工学领域的本科生和研究生的教育。从长远来看，该提案的结果将促进想要进入物理和职业治疗专业的学生与那些想要设计和开发机械设备的学生之间的沟通，这些设备可以帮助神经损伤后的人类恢复。