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.

PI：Banerjee，Amarnath/Perez Gracia，Alba/Robson，Ninaproposal编号：1403502/1403688/14040111TITLE：协作研究：协作 - 增强的感知 - 对上限康复训练和恢复了损失运动能力的运动能力恢复到损失运动能力的运动能力造成运动损失的运动能力造成的运动损失的运动障碍。在许多情况下，只有在长期培训课程之后才能完成部分成功。鉴于中风后患者恢复的局限性，必须开发更好的工具和方法。即使存在几种培训假设，例如需要精确重复培训模式，但仍有解决方案。克服其中一些障碍是该提议的目标。最近的研究表明，人类行动感知与行动执行之间的直接联系。有证据表明，对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（例如机器人）执行时，这种启动效果会降低或不存在。该建议旨在开发和测试一种新型可穿戴系统，以训练人类的手臂。该系统将允许用户将设备视为上肢的一部分（因此关闭感知/动作循环）。基于观察学习结果的培训协议将与ARWED实施，以将其作为恢复后遇到的训练装置开发，以恢复后中风后患者的运动恢复。技术描述智力优点中心在利用行动攻击和行动执行之间的联系以开发培训方案，以促进Stroke之后的康复。当前，有限的系统在重新学习生物运动中利用虚拟现实。拟议的增强可穿戴系统（ARWED）的开发需要解决计算机视觉/建模中的几个挑战以及机器人运动学映射。测试设备对启动感知效应的有效性将需要人类运动学领域，信号分析，虚拟现实，机器人断层恢复理论和康复领域的联合专业知识。因此，该多学科协作研究团队的理论贡献不仅会在医学领域内，而且还会跨越上述研究领域提高知识和理解。 更广泛的影响是基于要开发的设备的特征，其能力扩大了运动障碍患者的训练和重新训练。有效的设计和操纵将使拟议的ARWED系统成为可靠的解决方案，该解决方案将被从事康复，运动疗法和康复的医疗专业人员广泛使用。拟议的研究将为肢体限制的患者提供有效的工具，以训练和进行身体康复，包括遭受运动能力的部分丧失的个人到由于中风，出生缺陷或事故而导致行动不便的人。运动学习理论表明，减少练习过程中的反馈有益于运动技能训练的长期保留。与基于机器人的中风训练相比，观察性学习可能会为转移到ADL提供更大的好处。因此，这些患者的成功指标将是将训练从受影响的肢体或反之亦然的有益转移。预计，通过在认知，远程注射和虚拟现实的实验和教育工作中实施该设备，预计该系统将显着推进工程和科学知识的基本面。医学界还将从ARWED的开发中受益，从而进一步了解使用技术训练如何增强各种人群中运动控制的恢复，同时提供一种新颖的干预措施，这可能比当前可用的更有效。研究团队的协作性质将导致工程和运动机能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康复。