RR&D Research Career Scientist Award Application

RR

基本信息

项目摘要

The over-arching goal of the Nominees research activities is to improve the quality of life of veterans and individuals with limb loss. Upper-limb prosthetics research is an area of particular interest and relevance to VA especially in times of war. The Nominee through his Laboratory the VA/CU Biomechatronics Development Laboratory and its people seeks to improve the prosthetic options available to veterans with limb loss through the application of novel approaches and technology to the development of clinically relevant prosthetic systems and solutions. While it is a personal goal of the Nominee to be able to develop an artificial hand replacement capable of true dexterous manipulation for use by persons with upper-limb loss the Nominee and his team explore all aspects of the problem ranging from neural control and sensing; mechatronic design and development; novel actuator technologies; novel physical suspension/interface techniques; clinical deployment of these systems; methods to manage phantom limb pain; conducting clinical testing of the systems developed. The Nominee has been in the field of Prosthesis design and Rehabilitation Research in one form or another (Student, Post-doc, Scientist, Mentor) for over 25 years and has maintained extramural funding over that period. The Nominee has had numerous contracts and grants to develop advanced limb systems for a number of different Federal funding agencies including VA, NIH, and DARPA as well as Subcontracts from UNB in Canada. Over that time, in addition to being a VA Researcher and academic researcher, the Nominee completed the training required to become a clinical prosthetist and was National Director of Research for Advanced Arm Dynamics (AAD) for 2 years, (AAD is a national provider of upper-limb prosthetics care), providing the Nominee with a deep clinical insight into how care is provided in our field of upper-limb prosthetics. As a result, the Nominee believes he should explore and provide practical solutions to immediately pressing clinical problems while also exploring ideas that push the envelope of current technology but that might lead to platform level technologies with the potential for broad impact across a number of unrelated fields in the longer term. The Nominee’s VA projects aim to address issues of immediate clinical relevance to veterans with arm amputations but do so in a novel and innovative way. In particular, the Nominee’s current VA grant is to develop and test a novel prosthesis controller based on the Nominee’s ideas of Posture Control. At issue is the poor control available for current multifunctional electric hands that fails to enable them to operate at their fullest potential. In Posture Control through novel processing the control signals are mapped to a two-dimensional space where coordinates in the space represent hand postures enabling whole hand Posture Control rather than joint based control. This control approach has been developed, tested and demonstrated and we are working with a company to integrate our algorithm into their prosthesis controller to translate it to the field. The Nominee’s non-VA research is centered around using optical methods to interrogate nerves. True dexterous control of an artificial hand will not be achieved without sensory feedback (touch, pressure, force) from a prosthetic hand interfaced directly to the user’s nervous system. The Nominee is exploring the use of optical methods to non-invasively promote action potentials within neurons or to read-out action potentials from a nerve. We have recently published results of our work demonstrating how optical methods could be used to communicate with peripheral nerves. This is a blue-sky project with a long event horizon yet still grounded in the possibility of translation. If used to interface with the median or ulnar nerves such an interface could provide sensory or motor control for a prosthesis. If the interface modulates the vagus nerve then many other options become possible – such as modulating the neurons to the pancreas to control glucose and/or glycogen secretion without at the same time driving the heart. An example of the broad possibilities such an optically based peripheral nerve interface might provide.
被提名者研究活动的首要目标是提高退伍军人的生活质量

项目成果

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科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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RICHARD Fergus ffrench WEIR其他文献

RICHARD Fergus ffrench WEIR的其他文献

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{{ truncateString('RICHARD Fergus ffrench WEIR', 18)}}的其他基金

The Point Digit: A ratcheting prosthetic finger using advanced rapid manufacturing technology
The Point Digit:采用先进快速制造技术的棘轮假肢手指
  • 批准号:
    10028272
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Power Hungry: Fuel Cells Harvesting Biofluids for Renewable Power of Wearable Medical Devices
电力需求旺盛:燃料电池收集生物流体,为可穿戴医疗设备提供可再生能源
  • 批准号:
    10237207
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Artificial Digit Replacements for Women Veterans with Individual Digit Loss
为个别手指缺失的女性退伍军人进行人工手指替换
  • 批准号:
    10426913
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Artificial Digit Replacements for Women Veterans with Individual Digit Loss
为个别手指缺失的女性退伍军人进行人工手指替换
  • 批准号:
    10610390
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Research Career Scientist
研究职业科学家
  • 批准号:
    10754193
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Artificial Digit Replacements for Women Veterans with Individual Digit Loss
为个别手指缺失的女性退伍军人进行人工手指替换
  • 批准号:
    10174849
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Development of a Bidirectional Optogenetic Minimally Invasive Peripheral Nerve Interface with Single Axon Read-in & Read-out Specificity
单轴突读入双向光遗传学微创周围神经接口的开发
  • 批准号:
    9535582
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
Development of a Bidirectional Optogenetic Minimally Invasive Peripheral Nerve Interface with Single Axon Read-in & Read-out Specificity
单轴突读入双向光遗传学微创周围神经接口的开发
  • 批准号:
    9481458
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
A Postural Control Paradigm for EMG Control of Advanced Prosthetic Hands
先进假手肌电图控制的姿势控制范例
  • 批准号:
    9000726
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
A Postural Control Paradigm for EMG Control of Advanced Prosthetic Hands
先进假手肌电图控制的姿势控制范例
  • 批准号:
    8825956
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:

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