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EAGER: Wearable Nanofabrication Designs Create Better Fitting Intelligent Prosthetic Sockets

EAGER: Wearable Nanofabrication Designs Create Better Fitting Intelligent Prosthetic Sockets
EAGER:可穿戴纳米加工设计创造更贴合的智能假肢接受腔
批准号:
1664368
负责人:
Ming-Chun Huang
金额:
$25.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-02-15 至 2019-01-31

项目摘要

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中文摘要
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英文摘要
The past decades have witnessed great progress in the prosthetics field through new materials and technologies such as targeted muscle reinnervation, powered knee, and ankle prosthesis. However, the biomechanical load due to the unnatural mechanical interaction between the soft tissues of the residual limb and the prosthetic socket is still not fully understood and needs to be further investigated. This interdisciplinary research project will create new sensing and computational methods enabling knowledge discovery for better prosthesis fitting quality with the goal of enhancing the design, fit, usability, and interface of prosthetic limbs for individuals with amputation in practice.The objective of this project is to investigate force distribution between the stump and socket by developing a wireless sensing device and a force visualization system. This proposal explores an accurate force-sensing design using a unique three-dimensional nanowall network structure, which allows the fabrication of a robust sensor array on a flexible platform for quantitative pressure and shear force measurement. This interdisciplinary research project consists of sensor material synthesis, device fabrication, platform and signal processing unit design for the stump-socket interface application, and a machine learning-based solution to analyze the information that affects the sense of comfortable fit. The proposed research is multidisciplinary, bringing together the fields of digital design and test, human machine interface, sensors, and signal processing and extending the impact of mobile sensing and health technology to the prosthetics research. A team of investigators and students from Case Western Reserve University and the Cleveland Veterans Affairs Medical Center with complementary expertise will carry out this collaborative project. The proposed solution is expected to help prosthetists to design better devices and make the fitting procedure convenient and straightforward. Students working on the project will receive training across multiple disciplines.
期刊论文(3)
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科研奖励(0)
会议论文
DOI: 10.1109/jsen.2018.2832129
发表时间: 2018-08-01
期刊: IEEE SENSORS JOURNAL
影响因子: 4.3
作者: [Chen, Diliang, Cai, Yi, Huang, Ming-Chun]
通讯作者: Huang, Ming-Chun
Smart Prosthesis System: Continuous Automatic Prosthesis Fitting Adjustment and Real-time Stress Visualization
智能假肢系统:连续自动假肢适配调整和实时应力可视化
DOI: 10.1109/biocas.2018.8584784
发表时间: 2018
期刊: IEEE Biomedical Circuits and Systems Conference
影响因子: --
作者: [Cai, Yi, Chen, Jia, Chen, Diliang, Qu, Guanzhou, Zhao, Hongping, Ansari, Rahila, Huang, Ming-Chun]
通讯作者: Huang, Ming-Chun
DOI: 10.1149/2.0221807jss
发表时间: 2018-01-01
期刊: ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY
影响因子: 2.2
作者: [Feng, Zixuan, Rafique, Subrina, Zhao, Hongping]
通讯作者: Zhao, Hongping
海外基金