SNOW: Wearable Nano-Opto-electro-mechanic Systems

SNOW：可穿戴纳米光电机械系统

• 批准号: EP/X034690/1
• 负责人: Hadi Heidari
• 金额: $ 31.37万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX034690%2F1
• 关键词: SNOW; Wearable; Nano; Opto; electro

Health and fitness wearables present mobile solutions for ICT in public wellbeing by providing personal remote control and clinical intervention through telemedicine networks. Due to their noninvasive and continuous vital sign monitoring, wearables are incorporated in several studies to identify the onset and progression of the Coronavirus pandemic, and institutions deployed patient surveillance networks based on them. However, today's consumer wearables rely on sensing technologies vulnerable to motion artifacts due to discontinuous skin contact or insufficient motion artefact reduction mechanisms that prevent them from being a reliable source of vital signs. The SNOW project specifically aims to heterogeneously integrate the best options of different disciplines to offer a complete ICT solution based on a Nano-Opto-Electro-Mechanical system (NOEMS) that is mechanically flexible and energy-efficient. The combination of optical and mechano-acoustic sensors into a single platform and consequent manipulation of the light signal via mechanical input and integrated electronics offers accurate heart rate and respiration rate extractions. With the combination of material and flexible-electronics-based technologies, our project aims to provide a wearable solution for ICT to contribute to a decent level of personal and public health. By benefiting from the proven expertise of the interdisciplinary consortium, here we propose to realize the next-generation wearable devices that can continuously monitor and provide instant feedback on the user's personal health parameters. Our hybrid approach provides artefact compensation by using the heart rate signal from both optical and mechano-acoustic sensors. Integrating these sensors into a neuromorphic processor yields strict control on the actively extracted data and creates instant feedback in the case of abnormalities. The energy and data communication requirement of the proposed mobile sensing unit will be realized by a specific wireless communication that provides an efficient capacitive coupling to operate the sensors and circuitry components bypassing the need for an additional battery and bulky readout systems. Capacitive coupling with a smartwatch module will also provide transmission of the processed signal back to the final smart devices such as smartphone, laptops, and the smartwatch itself. The final system integration work package will employ a heterogenous integration methodology to pack these technologies in a wearable device form factor suitable for user experience and validation. Systematic validation of the final wearable device prototypes will be provided to reach reliable device deployment. Active user experience will be investigated to improve design aspects and the measurement methodologies.

健康和健身可穿戴设备通过远程医疗网络提供个人远程控制和临床干预，为公共健康领域的 ICT 提供移动解决方案。由于可穿戴设备具有无创和持续的生命体征监测功能，因此被纳入多项研究中，以识别冠状病毒大流行的发生和进展，并且各机构也基于它们部署了患者监测网络。然而，当今的消费类可穿戴设备所依赖的传感技术容易受到运动伪影的影响，因为不连续的皮肤接触或运动伪影减少机制不足，导致它们无法成为生命体征的可靠来源。 SNOW 项目的具体目标是异构集成不同学科的最佳选项，提供基于机械灵活且节能的纳米光机电系统 (NOEMS) 的完整 ICT 解决方案。将光学和机械声学传感器组合到一个平台中，然后通过机械输入和集成电子设备对光信号进行操作，从而提供准确的心率和呼吸率提取。通过结合材料和柔性电子技术，我们的项目旨在为 ICT 提供可穿戴解决方案，为个人和公共健康做出贡献。通过受益于跨学科联盟经过验证的专业知识，我们在此建议实现下一代可穿戴设备，该设备可以持续监控用户的个人健康参数并提供即时反馈。我们的混合方法通过使用来自光学和机械声学传感器的心率信号来提供伪影补偿。将这些传感器集成到神经形态处理器中可以对主动提取的数据进行严格控制，并在出现异常时创建即时反馈。所提出的移动传感单元的能量和数据通信要求将通过特定的无线通信来实现，该无线通信提供有效的电容耦合来操作传感器和电路组件，从而无需额外的电池和庞大的读出系统。与智能手表模块的电容耦合还将处理后的信号传输回最终的智能设备，例如智能手机、笔记本电脑和智能手表本身。最终的系统集成工作包将采用异构集成方法将这些技术打包到适合用户体验和验证的可穿戴设备外形尺寸中。将提供最终可穿戴设备原型的系统验证，以实现可靠的设备部署。将调查活跃的用户体验，以改进设计方面和测量方法。