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，为公共福利领域的信通技术提供移动的解决方案。由于其非侵入性和连续的生命体征监测，可穿戴设备被纳入多项研究，以确定冠状病毒大流行的发病和进展，机构部署了基于它们的患者监测网络。然而，当今的消费者可穿戴设备依赖于易受运动伪影影响的感测技术，这是由于不连续的皮肤接触或不充分的运动伪影减少机制，这阻止了它们成为生命体征的可靠来源。SNOW项目旨在将不同学科的最佳选择进行异质整合，以提供基于纳米光电机械系统（NOEMS）的完整ICT解决方案，该系统具有机械灵活性和节能性。将光学和机械声学传感器组合到单个平台中，并通过机械输入和集成电子器件对光信号进行后续操作，可提供准确的心率和呼吸率提取。通过材料和柔性电子技术的结合，我们的项目旨在为ICT提供可穿戴解决方案，以促进个人和公共健康的体面水平。通过受益于跨学科联盟的成熟专业知识，我们建议实现下一代可穿戴设备，可以持续监测和提供对用户个人健康参数的即时反馈。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，并在异常情况下创建即时反馈。所提出的移动的感测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以操作传感器和电路组件，从而绕过对附加电池和庞大读出系统的需要。与智能手表模块的电容耦合还将提供将处理后的信号传输回最终智能设备，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。积极的用户体验将进行调查，以改善设计方面和测量方法。