Sensor system for self-management of prosthetic socket fit

用于自我管理假肢接受腔安装的传感器系统

基本信息

  • 批准号:
    9482373
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-06-01 至 2020-05-31
  • 项目状态:
    已结题

项目摘要

Many Veterans with lower-limb amputations have difficulty managing their prosthetic socket fit due to reduced sensation in their residual limb, cognitive issues, or insufficient training. Although they are instructed to compensate for changes in residual limb volume throughout the day using prosthetic socks, many Veterans spend large portions of the day with a poorly fitting prosthetic socket, which can lead to numerous skin problems, discomfort, and pain. The goal of this project is to develop and test a socket- fit sensing system that can adapt to patient-specific changes in limb volume and can help Veterans self-manage their socket fit during post-amputation rehabilitation care. The socket-fit sensing system can detect when the Veteran is wearing too few or too many socks and can discretely alert the Veteran when they need to add or remove prosthetic socks. In this project, we will pursue the following two specific aims: 1) refine the socket-fit sensing system and 2) test socket-fit-detection algorithms. We will refine the system using feedback from experienced Veteran prosthesis users and clinicians, and we will test the system with three Veterans during their post-amputation rehabilitation care. This project will create an easy-to-use tool to help Veterans with lower-limb amputations self-manage prosthetic socket fit. This tool will be especially beneficial for Veterans at an early stage in their rehabilitation and will help reduce preventable pain, discomfort, and skin issues common with poor socket-fit. We believe this project will enhance Veteran engagement with self-managing socket fit and ultimately will increase prosthesis use and community participation.
许多接受下肢截肢的退伍军人在处理假肢方面存在困难。 因残肢感觉减退、认知问题或感觉不足而适合插座 训练。尽管他们被指示补偿残肢的变化 全天使用假体袜子,许多退伍军人花了很大一部分 假肢插座不合适,可能会导致大量皮肤 问题、不适和痛苦。这个项目的目标是开发和测试一个套接字- FIT传感系统,可以适应患者特定的肢体体积变化,并可以 帮助退伍军人在截肢后康复护理期间自我管理他们的牙槽适合性。 贴合插槽的感应系统可以检测到退伍军人穿得太少或太多 许多袜子,并可以在需要添加或移除时谨慎地提醒退伍军人 假体袜子。 在本项目中,我们将追求以下两个具体目标:1)改进插座贴合 2)测试插座适配性检测算法。我们将完善这一制度 利用经验丰富的假肢使用者和临床医生的反馈,我们将 在三名退伍军人的截肢后康复护理期间测试该系统。 这个项目将创建一个简单易用的工具来帮助退伍军人进行下肢截肢 自我管理假体插座适合。这个工具将对退伍军人特别有益, 康复的早期阶段,将有助于减少可预防的疼痛、不适、 以及与插座适合性差的常见皮肤问题。我们相信这个项目将加强 凭借自我管理插座贴合的资深员工参与度最终将增加 假体使用和社区参与。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

John Eric Ferguson其他文献

John Eric Ferguson的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('John Eric Ferguson', 18)}}的其他基金

Interactive Software for Assessing Meaningful Cognitive Function
用于评估有意义的认知功能的交互式软件
  • 批准号:
    10323851
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Sensor system for self-management of prosthetic socket fit
用于自我管理假肢接受腔安装的传感器系统
  • 批准号:
    9812779
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:

相似海外基金

CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了