Development of Wearable Sensors for Medical Diagnostics and Monitoring Health and Wellbeing

在这个项目中，我们将致力于开发新型先进的可穿戴生物传感器，这些传感器既可以用于医疗保健应用，也可以用于评估生活方式和健康标志(如用于水分或压力的标志)。我们的目标是扩大我们的传感能力，将微型制造的电化学生物传感器与微流体相结合，开发能够非侵入性地采样人体代谢活动的新型生物传感器。该项目将实现以下目标/里程碑：1.我们将开发一个初始微传感器平台，作为手表或贴片/绷带，并探索一系列潜在的分析方法，包括电解质、pH、皮质醇和激素，如肾上腺素，作为第一个目标里程碑1.2。我们将参与一项患者和公众参与和参与(PPIE)的计划，探索与业界、利益相关者、临床医生、医疗保健专业人员和护士共同创造产品和概念。我们还将与最终用户群体接触，包括老年人和运动/运动生理学家，里程碑2。PPIE活动将贯穿整个项目，整合到发展的各个方面。3.传感器阵列将与微流控平台集成，测试从皮肤提取样本的新方法的有效性，包括使用反离子导入里程碑3.4。该平台将与智能手机接口，使用低功耗通信接口，使数据收集和存储、信号处理和人工智能能够解释结果，里程碑4。培训结果：在项目结束时，学生将对可穿戴生物传感器有新的理解，特别是在以用户为中心的设计概念的背景下，使新技术能够迅速部署。学生将获得生物传感器开发的所有方面的培训，包括建立分子接口和数据分析，但重要的是，学生也将接触到，然后将推动PPIE的努力。

In this project, we will work to develop novel advanced wearable biosensors which can be used either for healthcare applications or assessing lifestyle and wellbeing markers (such as those for hydration or stress). Our ambition is to expand our sensing capabilities, combining microfabricated electrochemical biosensors with microfluidics to develop novel biosensors that can sample the metabolic activity of the body, non-invasively. The project will deliver the following objectives/milestones:1. We will develop an initial microsensor platform either as a watch or a patch/bandage, and explore a range of potential analytes to measure, including those of electrolytes, pH, cortisol, and hormones such as adrenaline as a first objective Milestone 1.2. We will engage in a programme of Patient and Public Involvement and Engagement (PPIE) exploring the co-creation of products and concepts with industry, stakeholders, clinicians, healthcare professional and nurses. We will also engage with end-user groupings including the elderly as well as sportspeople/exercise physiologists, Milestone 2. The PPIE activity will run throughout the project, integrated into all facets of the developments. 3. The sensor array will be integrated with microfluidic platform, testing the efficacy of new methods to draw sample from the skin including e.g. the use of reverse iontophoresis Milestone 3.4. The platform will be interfaced with a smartphone using a low power communications interface to enable data collection and storage, signal processing and artificial intelligence to interpret the results, Milestone 4. Training outcomes: At the end of the project, the student will have developed new understanding of wearable biosensors in particular within the context of user-centered design concepts, enabling new technologies to be deployed rapidly. The student will obtain training in all aspects of biosensors developments, including building molecular interfaces and data analysis, but importantly the student will also be exposed and then will drive PPIE efforts.