IUCRC Phase II UMBC: Building Reliable Advances and Innovation in Neurotechnology (BRAIN)

IUCRC 第二期 UMBC:在神经技术 (BRAIN) 领域建立可靠的进步和创新

基本信息

  • 批准号:
    2333292
  • 负责人:
  • 金额:
    $ 14.97万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-03-01 至 2027-02-28
  • 项目状态:
    未结题

项目摘要

Disability is becoming a leading healthcare concern because of the increase in survivable trauma and an aging population. Millions of adults live with neurological disorders, brain injury, mental illness, limb loss or paralysis. There is a need for accessible technologies that can more effectively address the care and rehabilitation needs of these patients. However, innovation in neurotechnology faces several challenges: The pace of innovation exceeds the rate of evaluation for acceptable performance; standards for the validation of safety, efficacy, and reliability of neurotechnology are lagging; current technologies are costly, limiting their deployment for treatment of disabilities; and the need to train new generations of physicians and engineers in emerging technologies steadily increases.The Industry University Cooperative Research Center for Building Reliable Advances and Innovations in Neurotechnology (IUCRC BRAIN) will address the above challenges. The Center's vision is built on a convergent research approach to the design and validation of reliable, ethical, patient-centered neurotechnologies and their use in understanding neural systems. BRAIN leverages wide-ranging expertise from neural, cognitive and rehabilitation engineering to neurorobotics, neuromodulation, and ethical artificial intelligence to enhance the rate of development and empirical validation of new neurotechnologies through partnerships with industry and other strategic partners while developing a highly skilled workforce; evaluating the impact of these technologies on quality of life; and integrating knowledge across disciplines, such as the humanities, with neurotechnologies to understand collective intelligence, and augment physical and cognitive capabilities.The Center's mission is multifold: to accelerate the progress of science and advance the national health by transferring neurotechnology to end users and to promote access for underrepresented minorities in science, technology, engineering, and math (STEM) by broadening new participation and retaining current participants. BRAIN will address problems in the neurological space that disproportionately affect underrepresented groups. BRAIN will become a neurotechnology hub by creating a pipeline from discoveries to solutions, while helping students, scientists, and engineers solve one of the greatest unmet medical and healthcare needs of our time.The University of Maryland Baltimore County (UMBC) site, a Partner Site of the BRAIN Center complements existing strength and expands research into new areas such as Cyber Human Systems/Human Centered Computing, Artificial Intelligence, Neural Signal Processing, Neural Imaging and Stimulation, and Virtual/Augmented/Mixed Reality. Thus, UMBC has specific technological (introducing new research areas), collaborative (combined projects with existing BRAIN sites), and resourceful (involving northeast biomedical industry and top national and international medical centers and close proximity to federal agencies and institutes such as NSF, NIH, NIDA, FDA and NASA) contributions. The Center will maintain a project repository (https://nsfbrain.org/) comprised of products and services for 10 years after the completion of this project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
由于可存活创伤的增加和人口老龄化,残疾正在成为主要的医疗保健问题。数百万成年人患有神经系统疾病、脑损伤、精神疾病、肢体丧失或瘫痪。需要能够更有效地满足这些患者的护理和康复需求的可用技术。然而,神经技术的创新面临着一些挑战:创新的步伐超过了可接受性能的评估速度;神经技术的安全性、有效性和可靠性验证标准滞后;目前的技术成本高昂,限制了其在残疾治疗中的应用;新兴技术培训新一代医生和工程师的需求稳步增加。工业大学建立可靠的神经技术进步和创新合作研究中心(IUCRC BRAIN)将解决上述挑战。该中心的愿景建立在融合研究方法的基础上,设计和验证可靠、合乎道德、以患者为中心的神经技术及其在理解神经系统中的应用。 BRAIN 利用从神经、认知和康复工程到神经机器人、神经调节和道德人工智能的广泛专业知识,通过与行业和其他战略合作伙伴的合作,提高新神经技术的开发速度和实证验证,同时培养高技能的劳动力;评估这些技术对生活质量的影响;并将人文学科等跨学科知识与神经技术相结合,以理解集体智慧,增强身体和认知能力。该中心的使命是多重的:通过将神经技术转移给最终用户和通过扩大新的参与并留住现有参与者,促进代表性不足的少数群体进入科学、技术、工程和数学 (STEM) 领域。 BRAIN 将解决神经学领域的问题,这些问题对代表性不足的群体产生了不成比例的影响。 BRAIN 将通过创建从发现到解决方案的管道,成为神经技术中心,同时帮助学生、科学家和工程师解决我们这个时代最大的未满足的医疗和保健需求之一。马里兰大学巴尔的摩县分校 (UMBC) 网站,合作伙伴大脑中心的站点补充了现有的实力,并将研究扩展到新领域,例如网络人类系统/以人为中心的计算、人工智能、神经信号处理、神经成像和刺激以及虚拟/增强/混合 现实。因此,UMBC 拥有特定的技术(引入新的研究领域)、协作性(与现有 BRAIN 站点的联合项目)和资源丰富(涉及东北生物医学行业以及顶级的国内和国际医疗中心,并且靠近 NSF、NIH 等联邦机构和研究所) 、NIDA、FDA 和 NASA)的贡献。该中心将在该项目完成后 10 年内维护一个由产品和服务组成的项目存储库 (https://nsfbrain.org/)。该奖项反映了 NSF 的法定使命,并通过使用基金会的评估进行评估,认为值得支持。智力价值和更广泛的影响审查标准。

项目成果

期刊论文数量(0)
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Ramana Vinjamuri其他文献

Emerging Frontiers in Human-Robot Interaction
人机交互的新兴前沿
  • DOI:
    10.1007/s10846-024-02074-7
  • 发表时间:
    2024-03-18
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Farshad Safavi;P. Olikkal;Dingyi Pei;Sadia Kamal;Helen Meyerson;Varsha Penumalee;Ramana Vinjamuri
  • 通讯作者:
    Ramana Vinjamuri
Learning Hand Gestures using Synergies in a Humanoid Robot
利用人形机器人的协同作用学习手势
Novel Hand Gesture Classification based on Empirical Fourier Decomposition of sEMG Signals*
基于 sEMG 信号经验傅立叶分解的新颖手势分类*

Ramana Vinjamuri的其他文献

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{{ truncateString('Ramana Vinjamuri', 18)}}的其他基金

I-Corps: Integrated Wearable System for Management of Substance Use Disorder
I-Corps:用于管理药物使用障碍的集成可穿戴系统
  • 批准号:
    2401028
  • 财政年份:
    2024
  • 资助金额:
    $ 14.97万
  • 项目类别:
    Standard Grant
Planning IUCRC Stevens Institute of Technology: Center for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
规划 IUCCRC 史蒂文斯理工学院:神经技术可靠进步与创新中心 (BRAIN)
  • 批准号:
    1939121
  • 财政年份:
    2020
  • 资助金额:
    $ 14.97万
  • 项目类别:
    Standard Grant
CAREER: Synergy-based Human Machine Interfaces
职业:基于协同的人机界面
  • 批准号:
    2053498
  • 财政年份:
    2020
  • 资助金额:
    $ 14.97万
  • 项目类别:
    Continuing Grant
Planning IUCRC Stevens Institute of Technology: Center for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
规划 IUCCRC 史蒂文斯理工学院:神经技术可靠进步与创新中心 (BRAIN)
  • 批准号:
    2042203
  • 财政年份:
    2020
  • 资助金额:
    $ 14.97万
  • 项目类别:
    Standard Grant
CAREER: Synergy-based Human Machine Interfaces
职业:基于协同的人机界面
  • 批准号:
    1845197
  • 财政年份:
    2019
  • 资助金额:
    $ 14.97万
  • 项目类别:
    Continuing Grant

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  • 批准号:
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  • 财政年份:
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  • 批准号:
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  • 批准号:
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