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: $ 25万
• 依托单位: Case Western Reserve University
• 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
• 起止时间: 2017-02-15 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1664368&HistoricalAwards=false
• 关键词: EAGER; Wearable; Nanofabrication; Designs; Create

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.

在过去的几十年里，通过新的材料和技术，如靶向肌肉神经再支配、动力膝关节和踝关节假体，假肢领域取得了巨大的进步。然而，由于残肢软组织和假肢接受腔之间的非自然机械相互作用而产生的生物力学载荷仍然没有完全了解，需要进一步研究。本跨学科研究项目旨在通过开发无线传感装置和力可视化系统，研究残肢和接受腔之间的力分布，以提高假肢的设计、适配性、可用性和接口为目标，创造新的传感和计算方法，从而提高假肢的适配质量。该提案探索了一种精确的力传感设计，使用独特的三维网络结构，它允许在一个灵活的平台上制造一个强大的传感器阵列，用于定量压力和剪切力测量。这个跨学科的研究项目包括传感器材料合成，设备制造，树桩插座接口应用的平台和信号处理单元设计，以及基于机器学习的解决方案，以分析影响舒适贴合感的信息。拟议的研究是多学科的，汇集了数字设计和测试，人机界面，传感器和信号处理领域，并扩展了移动的传感和健康技术的影响，假肢研究。来自凯斯西储大学和克利夫兰退伍军人事务医疗中心的一个具有互补专业知识的调查人员和学生小组将开展这一合作项目。所提出的解决方案有望帮助修复师设计更好的设备，并使装配过程方便和简单。参与该项目的学生将接受多个学科的培训。

项目成果

Customizable Pressure Sensor Array: Design and Evaluation

• 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
• 作者: Cai, Yi;Chen, Jia;Chen, Diliang;Qu, Guanzhou;Zhao, Hongping;Ansari, Rahila;Huang, Ming-Chun
• 通讯作者: Huang, Ming-Chun

ZnO Nanowall Networks for Sensor Devices: From Hydrothermal Synthesis to Device Demonstration

• 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