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STTR Phase I: Robotic Leg Advancement Device

STTR Phase I: Robotic Leg Advancement Device
STTR 第一阶段:机器人腿部推进装置
批准号:
1346396
负责人:
Maciej Pietrusinski
金额:
$22.5万
依托单位:
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
项目状态:
已结题
起止时间:
2014-01-01 至 2015-06-30

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中文摘要
翻译
这个小型企业技术转让研究(STTR)第一阶段项目旨在开发一种新型的智能设备,用于接受物理治疗和康复的神经系统患者人群的步态训练自动化。 该项目的目标是创建一个物理上简单的机器人系统,它使用一个复杂的控制系统来智能地与管理步态训练的物理治疗师合作,以部分自动化该过程。 该系统的开发可能会导致步态训练和物理治疗的新范式的创建。 该设备将有可能大大提高物理治疗师进行强化步态再训练的能力,这反过来又可能导致每年数十万患者的活动能力得到改善。 步态训练自动化的现有技术解决方案过于复杂和昂贵,市场渗透率非常低,因此很少有患者从中受益。 在本项目中,将证明创建一种廉价设备的可行性,该设备将与物理治疗师合作进行步态训练。该项目更广泛的影响/商业潜力源于提高步态训练的经济性和结果的可能性。 目前的步态康复方法依赖于体力劳动。 治疗通常由2或3个PT同时进行,这是非常昂贵的。 我们提出的产品将使治疗各种神经系统疾病的患者更具成本效益,其中包括每年约35万名可以从步态治疗中受益的中风患者。 我们估计该产品的潜在市场规模约为3600万美元,但该设备也可能在未来引领简单机器人消费产品的开发。
英文摘要
This Small Business Technology Transfer Research (STTR) Phase I project seeks to develop a novel, intelligent device for automation of gait training in the neurological patient population undergoing physical therapy and rehabilitation. The objective of this project is the creation of a physically simple robotic system, which uses a sophisticated control system to intelligently cooperate with the physical therapist administering gait training, to partially automate the process. The development of this system may lead to the creation of a new paradigm in gait training and physical therapy. This device will have the potential to greatly enhance the abilities of physical therapists to administer intensive gait retraining, and this in turn may lead to improved mobility in hundreds of thousands of patients every year. The existing technological solutions to automation of gait training are overly complex and costly, with very low market penetration, and as a result few patients benefit from them. During this project, the feasibility of creating an inexpensive device which will cooperate with the physical therapists in gait training will be demonstrated.The broader impact/commercial potential of this project stems from the possibility of enhancing both the economics and the outcomes of gait training. Current gait rehabilitation methods rely on manual labor. Therapy is often administered by 2 or 3 PTs at the same time, which is very costly. Our proposed product will make it more cost-effective to treat patients with a variety of neurological disorders, including some 350,000 stroke patients who could benefit from gait therapy every year. We estimate the size of the addressable market for the proposed product to be about $36 million, but this device may also lead do the development of simple robotic consumer products in the future.
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