CPS: TTP Option: Synergy: Human-Machine Interaction with Mobility Enhancing Soft Exosuits
CPS: TTP Option: Synergy: Human-Machine Interaction with Mobility Enhancing Soft Exosuits
批准号:
1446464
负责人:
Conor Walsh
金额:
$141.15万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-03-01 至 2020-02-29
中文摘要
中风是美国长期残疾的主要原因,目前约有700万中风幸存者生活在美国,对于患有神经疾病的患者来说,有限的步速通常会导致主要局限于家庭的行走。与包含刚性连接元件的传统外骨骼不同,这项工作的愿景是使用纺织品等软材料提供更适形、不引人注目和顺从的方式与人体接口的外衣。这代表着过去半个世纪人们看待和设计可穿戴机器人的方式发生了根本性的变化。这样的解决方案将产生广泛的影响,超越中风患者群体,并可能为患有脑瘫的儿童或患有肌肉无力的老年人提供好处。此外,还计划为病人在回路中的网络物理系统创建一套新颖的教学工具包,将通过在线门户和CPS虚拟组织(CPS-VO)共享。通过病人在回路中的CPS,患者、身体状况、计算控制算法和任务/环境形成了一个系统,其中所有元素都需要无缝交互。通过涉及广泛的人体受试者研究的建模和实验方法,该团队的目标是创建一个统一的工程、生物力学和生理学框架,用于设计和评估患者环路CP,其中包括实时适应患者的协作控制器,以确保集成系统的安全性和可靠性。具体地说,该项目将寻求对如何(1)通过分析和实验表征这些软组织如何将力通过底层软组织传递到患者以产生帮助,(2)通过监测生物力学、生理和套装传感器数据,对患者应用最佳的辅助幅度和时间,以促进更对称和自然的步态,以及(3)融合来自监控患者运动和相互作用力的不同传感器的信息,以创建一个集成的CPS,该CPS具有一个能够适应患者非周期性运动的协作控制器。
英文摘要
Stroke is the leading cause of long-term disability in the US with approximately 7 million stroke survivors living in the US today and for patients with neurological disorders, it has been shown that limited gait velocity commonly results in walking that is predominantly restricted to the household. Unlike traditional exoskeletons which contain rigid linkage elements, the vision for this work is for exosuits that use soft materials such as textiles to provide a more conformal, unobtrusive and compliant means to interface to the human body. This represents a fundamental change in the paradigm of how people have viewed and designed wearable robots for the last half a century. Such a solution would have broad impact beyond the stroke patient population and could provide benefit to children with Cerebral Palsy or elderly individuals with muscle weakness. In addition there are plans to create a set of novel instructional educational toolkits for patient-in-the-loop cyber-physical systems that will be shared via an online portal and the CPS Virtual Organization (CPS-VO).With a patient-in-the-loop CPS, the patient, the physical suit, the computational control algorithms and the task/environment form a system in which all of the elements need to seamlessly interact. Through a modeling and experimental approach involving extensive human subjects studies, the team aims to create a unified engineering, biomechanical and physiological framework for designing and evaluating patient-in-the-loop CPS that include co-operative controllers that adapt in real-time to the patient to ensure safety and reliability an integrated system. Specifically the project will seek to gain a fundamental understanding of how to (1) analytically and experimentally characterize how forces are transmitted from these soft systems to the patient through the underlying soft tissue so as to generate assistance, (2) apply the optimal magnitude and timing of assistance to the patient to promote a more symmetric and natural gait by monitoring biomechanical, physiological and suit sensor data and (3) fuse information from different sensors monitoring patient motion and interaction forces to create an integrated CPS with a co-operative controller than can adapt to non-periodic movements of the patient.
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