Multifunction Prosthesis Control using Implanted Sensors

使用植入传感器的多功能假肢控制

基本信息

项目摘要

DESCRIPTION (provided by applicant): The limitation of current prostheses is not the devices themselves but rather the lack of sufficient independent control sources. A system capable of reading intra muscular EMG signals would greatly increase the number control sources available for prosthesis control. Current state-of-the-art electric prosthetic hands are generally single DOF (opening/closing) devices often implemented with EMG control. Current prosthetic arms requiring multi-DOF control most often use sequential control. As currently implemented, sequential control is slow. We propose to develop a multichannel/multifunction prosthetic hand/arm controller system capable of receiving and processing signals from up to sixteen implanted bipolar differential electromyographic (EMG) electrodes. An external prosthesis controller will use fuzzy-logic to decipher user intent from telemetry sent over a transcutaneous magnetic link by the implanted electrodes. The same link will provide power for the implanted electrodes. . Northwestern University will develop the multifunctional prosthesis controller and perform the animal experiments necessary to demonstrate the implanted devices. . Rehabilitation Institute of Chicago will perform animal experiments and help with human subject experiments. . Illinois Institute of Technology will develop individually addressable integrated circuit EMG sensor packages. Each sensor will be housed in BION(r) hermetically sealed packages provided by the Alfred E. Mann Foundation. . Sigenics Corp. will develop the transcutaneous telemetry link, (or reader). A custom-designed application specific integrated circuit (ASIC) will "strip" the data from the link's telemetry and send it to the prosthesis controller. Powering of the implanted electrodes will also be controlled by the ASIC. The external coil of the inductive link will be laminated into a prosthetic socket. Development of each component of the system will occur in parallel. Throughout years 1 & 2 fine wire studies with human subjects will be used to develop multifunctional prosthesis control algorithms. Initial silicon for the implanted electrodes and reader ASIC will be ready by end of year 1. Packaged electrodes ready for animal testing and a prototype reader will be ready the middle of year 2. Year 3 is expected to be spent going through initial system integration and iterative test-redesign cycles. A definitive design is anticipated to be ready for final testing and tweaking by the middle of year 4. The final year will be spent conducting the final systems integration.
描述(由申请人提供): 当前假肢的局限性不是装置本身,而是缺乏足够的独立控制源。能够读取肌肉内肌电图信号的系统将大大增加可用于假肢控制的控制源的数量。目前最先进的电动假手通常是单自由度(打开/关闭)装置,通常通过肌电图控制来实现。目前需要多自由度控制的假肢最常使用顺序控制。目前实施的顺序控制速度很慢。我们建议开发一种多通道/多功能假手/手臂控制器系统,能够接收和处理来自多达十六个植入双极差分肌电(EMG)电极的信号。外部假肢控制器将使用模糊逻辑从植入电极通过经皮磁力链路发送的遥测数据中破译用户意图。同一链路将为植入的电极提供电力。 。西北大学将开发多功能假肢控制器,并进行必要的动物实验来演示植入设备。 。芝加哥康复研究所将进行动物实验并帮助进行人体实验。 。伊利诺伊理工学院将开发可单独寻址的集成电路 EMG 传感器套件。每个传感器都将安装在 Alfred E. Mann 基金会提供的 BION(r) 密封包装中。 。 Sigenics Corp. 将开发经皮遥测链路(或读取器)。定制设计的专用集成电路(ASIC)将从链路遥测中“剥离”数据并将其发送到假肢控制器。植入电极的供电也将由 ASIC 控制。感应连接的外部线圈将被层压到假肢接受腔中。 系统每个组件的开发将并行进行。在第一年和第二年中,对人类受试者的细线研究将用于开发多功能假肢控制算法。植入电极和读取器 ASIC 的初始芯片将在第一年年底准备就绪。用于动物测试的封装电极和原型读取器将在第二年年中准备就绪。预计第三年将完成初始系统集成和迭代测试重新设计周期。预计最终设计将在第四年年中准备好进行最终测试和调整。最后一年将用于进行最终的系统集成。

项目成果

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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:
    $ 74.61万
  • 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:
    $ 74.61万
  • 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:
    $ 74.61万
  • 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:
    $ 74.61万
  • 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:
    $ 74.61万
  • 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:
    $ 74.61万
  • 项目类别:
RR&D Research Career Scientist Award Application
RR
  • 批准号:
    10407502
  • 财政年份:
    2018
  • 资助金额:
    $ 74.61万
  • 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:
    $ 74.61万
  • 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:
    $ 74.61万
  • 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:
    $ 74.61万
  • 项目类别:
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