Using graphene based sensors for ex-situ monitoring of neurodegenerative disorders

目的：建立由二维材料可穿戴传感器和数据分析框架组成的端到端管道，检测和分析神经退行性疾病患者的眨眼模式。建议方法：在这个博士学位期间，打算进行两条主要的研究路线。首先，是建立一个无线版本的先前在曼彻斯特开发的设备。已发表的研究表明，用石墨烯制造RFID传感器是可能的，尽管是用于不同的应用。第二项研究是调查来自这些传感器的数据是否真的有助于识别帕金森症/阿尔茨海默症患者的眨眼模式。鉴于其他诊断/监测工具的存在，帕金森病是测试这些传感器有效性的一个很好的起点，这些工具应该作为基础事实的良好来源。如果时间允许，这项工作将扩展到研究制造一种带有MoS2传感元件的隐形眼镜的可能性，该元件可以通过无线电频率传输数据。这种传感器将不同于其他基于应变的设备，因为它将测量光强度的变化，而不是电阻的变化。

Objective:To build an end to end pipeline, consisting of wearable sensors built out of 2D materials and a data analysis framework, to detect and analyse eye blink patterns of patientssuffering from neurodegenerative diseases.Proposed Method:During this PhD, it is intended that two main lines of research are pursued. First, is to build a wireless version of a previously constructed device developed in Manchester. Published work has demonstrated that it is possible to construct a RFID sensor out of graphene, albeit for different applications. The second line is to investigate whether the data coming in from these sensors could actually be helpful in identifying blinking patterns in people with Parkinson's/Alzheimer's. Parkinson's disease represents a good starting point to test the effectiveness of these sensors given the existence of other diagnostic/monitoring tools which should serve as a good source of ground truth. If time permits, the work will be extended to investigate the possibility of creating a contact lens with a MoS2 sensing element that transmits the data over radio frequency. This sensor would differ from the other strain based devices, since it would be measuring changes in light intensity, rather than changes in resistance.