Automating the design of digitally made prostheses

自动化数字化假肢的设计

• 批准号: 571074-2021
• 负责人: Andrysek, JanJ
• 金额: $ 10.92万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=746150
• 关键词: Automating; design; digitally; made; prostheses

Prosthetic limbs play an important role in restoring physical function and mobility of individuals with limb-loss. While a well-designed prosthesis typically leads to successful rehabilitation, an ill-fitting one can cause discomfort and ill-function and restrict an individual's ability to conduct everyday activities. Digital workflows have the potential to greatly improve the efficiency and performance of the prosthesis building process, thus enabling access to affordable and well functioning prostheses, however several significant scientific and technological challenges must be overcome to realize clinical viability. This project aims to develop and implement data-driven algorithms to technologically advance existing digital workflows of prosthetic socket fabrication. An algorithm will be developed and trained using real-world data and evaluated against conventional methods of prosthetic socket building. The final step involves the implementation of the algorithm into existing digital workflows, namely the NiaFit Software, to make the developed technology accessible globally within prosthetic rehabilitation programs. This transformational project brings together an inter-disciplinary team of scientists, engineers, and clinicians and forms a unique and complementary partnership between the University of Toronto, Holland Bloorview Kids Rehabilitation Hospital and Nia Technologies, a non-profit, to co-develop and translate the technology.

假肢在肢体缺损患者恢复身体功能和活动能力方面发挥着重要作用。虽然设计良好的假肢通常会导致成功的康复，但不合适的假肢会导致不适和功能障碍，并限制个人进行日常活动的能力。 数字化工作流程有可能大大提高假体构建过程的效率和性能，从而使人们能够获得负担得起且功能良好的假体，但必须克服几个重大的科学和技术挑战才能实现临床可行性。该项目旨在开发和实施数据驱动的算法，以在技术上推进假肢接受腔制造的现有数字化工作流程。将使用真实世界的数据开发和训练一种算法，并根据传统的假肢接受腔建造方法进行评估。最后一步是将该算法应用到现有的数字工作流程中，即NiaFit软件，以使所开发的技术在全球范围内可用于假肢康复计划。 这个转型项目汇集了科学家，工程师和临床医生的跨学科团队，并在多伦多大学，Holland Bloorview儿童康复医院和Nia Technologies（非营利组织）之间形成了独特的互补合作伙伴关系，共同开发和翻译技术。