Development of Modelling Techniques for Subject-Specific Prediction of Biomechanical Variables Beyond the Research Environment

研究环境之外生物力学变量特定主题预测的建模技术的发展

• 批准号: RGPIN-2018-03894
• 负责人: Giles, Joshua
• 金额: $ 1.97万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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=760179
• 关键词: Development; Modelling; Techniques; Subject; Specific

New technologies are starting to lead to insights into human joint function at low cost and without the need for significant infrastructure. These technologies could be combined and further developed to provide more comprehensive biomechanical analysis and eventually aid surgeons in personalizing orthopaedic surgical plans, which currently requires significant expertise. This work will develop a fundamental engineering understanding of these technologies, the types and quality of biomechanical information they can provide, and how they can be combined to provide information in an applied environment. The objectives of this research program are: 1) to investigate computer-based models of the shoulder that account for personalized factors (e.g. anatomical differences) and can determine individualized biomechanical information; 2) to develop low-cost mobile sensors that produce data to drive the above computer model; 3) to investigate how the combined system from Objectives 1 s joint condition affect their joint function (i.e. biomechanics); 4) to use the results from Objective 3 to develop a statistical model that is lightweight (uses fewer computer resources than were needed in Objective 3). This multi-disciplinary research program includes aspects of basic biomechanical experimentation, biomechanical computer modelling, and mechatronics (a combination of mechanical design, electronics, and software). Specifically, basic biomechanical experiments will be conducted to provide important information that can be used to develop and validate a computer model of shoulder biomechanics. After being developed using the information from the above biomechanical experiments, the computer model will be combined with a custom developed system of low-cost mobile sensors (i.e. sensors that provide information about motion and muscle activity and can be used outside a research setting) to calculate biomechanical data that has only ever been available in a laboratory. This research program will produce a new understanding of shoulder biomechanics while also developing foundational technologies that can lead to future systems that could improve orthopaedic surgical outcomes through improved, personalized planning that is not solely dependent on clinician experience. This will in turn benefit the Canadian economy and society through industrial partnerships that deploy and build upon this technology, and through cost savings associated with improved healthcare technologies. Finally, this program will provide an opportunity to train the next generation of engineers in multi-disciplinary bioengineering research which is an increasingly important field.

新技术开始以低成本和不需要大量基础设施的方式深入了解人类的联合功能。这些技术可以结合在一起并进一步开发，以提供更全面的生物力学分析，并最终帮助外科医生个性化骨科手术计划，这目前需要大量的专业知识。这项工作将对这些技术、它们可以提供的生物力学信息的类型和质量以及如何将它们结合在一起在应用环境中提供信息有一个基本的工程学理解。该研究计划的目标是：1)研究考虑个性化因素(如解剖学差异)并能确定个性化生物力学信息的肩关节计算机模型；2)开发产生数据以驱动上述计算机模型的低成本移动传感器；3)调查S关节状况的组合系统如何影响其关节功能(即生物力学)；4)利用目标3的结果开发一个轻量级的统计模型(使用的计算机资源比目标3所需的更少)。这一多学科的研究计划包括基础生物力学实验、生物力学计算机建模和机电一体化(机械设计、电子学和软件的结合)。具体地说，将进行基本的生物力学实验，以提供可用于开发和验证肩部生物力学的计算机模型的重要信息。在利用上述生物力学实验的信息进行开发后，计算机模型将与定制开发的低成本移动传感器系统(即提供运动和肌肉活动信息的传感器，可以在研究环境之外使用)相结合，以计算只有实验室才能获得的生物力学数据。这项研究计划将对肩部生物力学产生新的理解，同时还将开发基础技术，这些技术可以导致未来的系统，通过改进的个性化计划改善整形外科手术结果，而不是仅仅依赖临床医生的经验。这反过来将通过部署和建立这种技术的行业合作伙伴关系，以及与改进的医疗技术相关的成本节约，从而使加拿大经济和社会受益。最后，该项目将为培养多学科生物工程研究的下一代工程师提供机会，生物工程研究是一个日益重要的领域。