Autonomous sensor system for the quantification of relative residual bone movement monitoring within lower limb prosthetic sockets
Autonomous sensor system for the quantification of relative residual bone movement monitoring within lower limb prosthetic sockets
批准号:
2609089
负责人:
金额:
$0.0万
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
标题:下肢假肢接受腔内相对残余骨运动监测量化的自主传感器系统。目的博士奖学金,建立在现有的学术和临床专业知识,在软组织力学,下肢假肢接受腔设计和实验可穿戴智能传感器系统,研究,开发和验证一个适当的可穿戴移动的传感器系统能够在原位监测小骨骼运动。这个博士研究项目有可能提供具有战略意义的研究成果和创新,因此大大有助于CDT和斯特拉斯克莱德大学内的多学科研究团队的工作。例如,斯特拉斯克莱德研究团队包括来自生物医学工程系和智能动态通信中心(CIDCOM)的研究人员,该中心是生物医学工程系的一部分。拟议的博士项目将受益于联盟专家针对智能传感器技术的开发和部署,这些技术与生物医学工程(辅助设备专业知识和临床方面)和CIDCOM(传感器,AI和通信平台)之间联合开发的移动的通信平台有关。值得一提的是,许多研究成果正在走向商业化。拟议的博士研究是及时的,以及在CDT目标以及与康复工程的主题在斯特拉斯克莱德健康研究战略,重点是减少残疾在生活中的影响对齐。研究还与斯特拉斯克莱德和苏格兰支持的战略传感器网络活动以及斯特拉斯克莱德技术创新中心促进早期和准确治疗与预防伤害的健康技术主题相吻合。 工作计划这项研究将是多学科的,并得到生物医学工程和生物医学工程师斯特拉斯克莱德和其他受人尊敬的CDT合作伙伴的平等支持。它将由Arjan Buis博士和Ivan Glesk教授共同领导,他们都是第一任导师。将指定一名未来的行业主管担任外部主管,其专业知识将使其能够接触到适当的假肢专家和患者群体。最后,这种方法将提供一个机会,向包括HMO和私营部门在内的外部各方展示项目成果和平台能力。探索和研究能够以所需精度测量骨骼相对于下肢假肢接受腔运动的技术,包括MRI、超声和光学断层扫描方法。为所调查的各种技术的排名和适当性制定一个规格矩阵。设计和验证至少两个测量系统从以前的目标。将设计与正在与本项目并行开发的医疗通信平台相集成。在获得伦理同意后,对开发的系统进行临床测试和评估。 假体接受腔内残余骨移动的真实的时间量化结果,为假体接受腔设计提供信息。
英文摘要
Title; Autonomous sensor system for the quantification of relative residual bone movement monitoring within lower limb prosthetic sockets. Aims The PhD scholarship that builds upon existing academic and clinical expertise in soft tissue mechanics, lower limb prosthetic socket design and experimental wearable smart sensor systems, to research, develop and validate an appropriate wearable mobile sensor system capable of in-situ monitoring of small skeletal movement. This PhD research project has the potential to deliver strategically important research outputs and innovations hence substantially contribute to undergoing work of a multi-disciplinary research teams within CDT and the University of Strathclyde. For example, the Strathclyde research team includes researchers from the department of Biomedical engineering and The Centre for Intelligent Dynamic Communications (CIDCOM) which is part of the EEE department. The proposed PhD project will benefit from consortium expertize targeting development and deployment of smart sensors technologies linked to mobile communication platforms being jointly developed between Biomedical engineering (assistive device expertise and clinical aspects) and CIDCOM (sensors, AI, and communication platform). Worth mentioning is the fact that number of research outputs are on their commercialisation pathway. The proposed PhD research is timely and well aligned within the CDT goals as well as with the rehabilitation engineering theme in the Health Research strategy at Strathclyde focused to reduce the impact of disability in life. Research also corresponds well with the strategic sensor network activities supported by Strathclyde and Scotland and with the Strathclyde Technology Innovation Centre health technologies theme promoting earlier and accurate treatment with prevention of injury. Workplan The research will be multi-disciplinary and equally supported by Biomedical engineering and EEE at Strathclyde and other respected CDT partners. It will be jointly led by Dr Arjan Buis and Professor Ivan Glesk both being first supervisors. A prospective industrial supervisor will be assigned the role of External supervisor whose expertise will enable to access the appropriate groups of prosthetic specialists and patients. Finally, this approach will provide an opportunity to demonstrate project outcomes and platform capabilities to external parties including HMO and private sectors. Explore and investigate the technologies capable measuring skeletal movement relative to a lower limb prosthetic socket with the required accuracy, including MRI, ultrasound and optical tomography methods. Develop a specification matrix for ranking and appropriateness of the various technologies investigated. Design and validate at least two measurement systems derived from previous objectives. Integrate the designs with the medical communication platform which is being developed in parallel to this project. After ethical consent has been granted, clinically test and evaluate the developed system. Outcomes Real time quantification of residual bone movement within prosthetic sockets informing prosthetic socket design.
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