课题基金 / 基金详情

Quantum Imaging for Monitoring of Wellbeing & Disease in Communities

Quantum Imaging for Monitoring of Wellbeing & Disease in Communities
用于健康监测的量子成像
批准号:
EP/T021020/1
负责人:
Jonathan Cooper
金额:
$716.74万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --

项目摘要

项目成果

Jonathan Cooper的其他基金

相似基金

相关文献

中文摘要
翻译
我们已经确定,家庭是未来变革性医疗变化发生的地方,具有最大的影响潜力。我们的愿景是,未来的家将是一个能够跟踪我们日常活动、行为和健康的环境。从这个意义上说,它将成为我们身体的延伸,在新一代传感器收集的数据流中出现异常时,为我们提供反馈、建议和警报。对传感器数据流的分析将基于临床批准的模型,从而有效地将训练有素的专业知识直接带到生活环境中。远程检测和监测参数,如步态、宏观和微观运动、血液流动、心率,甚至潜在的大脑功能,与数据驱动的模型相结合,将允许监测健康和非传染性疾病(NCDs)的发病,并通过个性化和持续更新的康复计划从NCDs或手术中恢复。因此,这将精准医学的概念扩展到我们的整体身心健康,并将其扩展到我们的整体身心健康,愿景是使“精准医疗”能够提供给家庭。我们提出的传感器基于新一代量子灵感相机。这些摄像头可以探测到极低水平的光线,从而使它们在家里的存在完全不显眼。摄像头还可以以非常高的精度和非常高的帧速率检测光到达传感器的时间。这些功能的结合使得能够同时测量宏观运动(以与更常见的相机类似的方式)和微观运动(目前对于当前的低成本或低外形因数的相机是不可能的)。微动检测的精确度足以捕捉皮肤/身体形状的纳米变化,从而直接检测血液流动,监控心脏跳动的精确形状和变化。未来,非常雄心勃勃的计划,包括将这种能力扩展到大脑。我们的摄像机还可以与射频技术相结合,提供更丰富的数据,例如与运动速度直接相关的多普勒信号。所有这些指标都将被输入到机器学习模型中,这些模型会随着时间的推移进行监控、学习和更新,最重要的是,适应居住在家庭环境中的个人。因此,这些系统将迅速适应和发展为定制的个人,提供精确的医疗监测和反馈。除了从事传感器和数据分析工作的工程师和计算机科学家外,我们的计划还包括临床医生,他们将为我们的数据提供解释模型,以及合作伙伴,他们将使我们能够访问新一代智能家居,这些用户已经在对传感器进行贝塔测试,例如监控整体运动。
英文摘要
We have identified the home as the place where future transformational healthcare changes will occur with the greatest impact potential. Our vision is that the home of the future will be an environment that has the ability to follow our everyday movements, behaviour and wellness. In this sense, it will become an extension of our physical bodies, providing us with feedback, advice and alerts in the presence of anomalies in the data streams collected by new-generation sensors. The analysis of the data-streams from the sensors will be based on clinically approved models, thus effectively bringing highly trained expertise directly to the living environment. Remote detection and monitoring of parameters such as gait, macro and micro-movements, blood flow, heart rate and potentially even brain function, when combined with data-driven models, will allow to both monitor health and the onset of non-communicable diseases (NCDs) but also recovery from NCDs or surgery with personalised and continuously updated re-habilitation programmes. This therefore takes the concept of precision medicine and extends it to our overall physical and mental well-being, with the vision of enabling "precision healthcare" delivered to the home.The sensors we are proposing are based on new-generation quantum-inspired cameras. These cameras can detect extremely low levels of light, thus rendering their presence in the home completely unobtrusive. The cameras can also detect the arrival time of light at the sensor with very high precision and at very high frame rates. The combination of these features enables the measurement of both macro-movement (in a similar fashion to more common cameras) and micro-movement (not currently possible with current, low-cost or low form-factor cameras). Micro-movement detection is sufficiently precise to capture nanometric variations in skin/body shape and thus directly detect blood flow, monitoring the precise shape and variations of heart beat. Future, very ambitious plans, include extending this capability to the brain. Our cameras can also be combined with RF technology to provide richer data, e.g. Doppler signals directly related to speed of movement. All these indicators will be fed into machine learning models that monitor, learn and are updated over time and, most importantly, adapt to the individuals inhabiting the home environment. Thus, the systems will quickly adapt and evolve for bespoke individuals, providing precision healthcare monitoring and feedback.Alongside the engineers and computer scientists working on the sensors and data analysis, our programme involves clinicians who will provide the interpretation models for our data and also partners who will give us access to new-generation intelligent homes inhabited by users who are already beta-testing sensors monitoring for example gross movement.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/jsen.2020.3035960
发表时间: 2021-02-15
期刊: IEEE SENSORS JOURNAL
影响因子: 4.3
作者: [Ashleibta, Aboajeila Milad, Abbasi, Qammer H., Imran, Muhammad Ali]
通讯作者: Imran, Muhammad Ali
Alignment-free construction of double emulsion droplet generation devices incorporating surface wettability contrast.
结合表面润湿性对比的双乳液液滴生成装置的免对准结构。
DOI: 10.1039/d3lc00584d
发表时间: 2023
期刊: Lab on a chip
影响因子: 6.1
作者: [Aslan Y]
通讯作者: Aslan Y
LoRa-based Privacy-Aware and Contactless Surveillance in Next-generation Smart Homes
下一代智能家居中基于 LoRa 的隐私感知和非接触式监控
DOI: 10.1109/usnc-ursi52151.2023.10238314
发表时间: 2023
期刊:
影响因子: --
作者: [Farooq M]
通讯作者: Farooq M
DOI: 10.1080/19490976.2023.2199659
发表时间: 2023-01
期刊: Gut microbes
影响因子: 12.2
作者: []
通讯作者:
共 8 条
    MICA: Community Based Point-of-Need Integrated Diagnostics for SARS-CoV-2
    • 批准号:
      MR/V035401/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $48.22万
    • 财政年份:
      2021
    • 负责人:
      Jonathan Cooper
    • 依托单位:
    Window into the Mind: Handheld Spectroscopic Eye-safe Device (EyeD) for Neurodiagnostics
    • 批准号:
      EP/V029940/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $12.91万
    • 财政年份:
      2021
    • 负责人:
      Jonathan Cooper
    • 依托单位:
    Mobile Phone enabled Diagnostics for Infectious Disease Diagnosis: Low Cost Tools for Digital Health in East Africa
    • 批准号:
      EP/T029765/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $15.62万
    • 财政年份:
      2020
    • 负责人:
      Jonathan Cooper
    • 依托单位:
    Novel low cost diagnostic tools and their impact in Africa
    • 批准号:
      EP/R01437X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $202.02万
    • 财政年份:
      2018
    • 负责人:
      Jonathan Cooper
    • 依托单位:
    国内基金
    海外基金
    非小细胞肺癌Biomarker的Imaging MS研究新方法
    • 批准号:
      30672394
    • 项目类别:
      面上项目
    • 资助金额:
      30.0万元
    • 批准年份:
      2006
    • 负责人:
      陆豪杰
    • 依托单位: