Quantum Imaging for Monitoring of Wellbeing & Disease in Communities

我们已经确定家庭是未来医疗保健变革将产生最大影响潜力的地方。我们的愿景是，未来的家将是一个能够跟踪我们日常运动，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出现异常时为我们提供反馈、建议和警报。来自传感器的数据流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。当与数据驱动模型相结合时，远程检测和监测步态、宏观和微观运动、血流、心率甚至可能是大脑功能等参数，将允许监测健康和非传染性疾病（NCD）的发作，还可以通过个性化和不断更新的康复计划从NCD或手术中恢复。因此，这采用了精准医学的概念，并将其扩展到我们的整体身心健康，其愿景是将“精准医疗保健”送到家。我们提出的传感器基于新一代量子启发相机。这些摄像头可以检测到极低的光线水平，从而使它们在家中的存在完全不引人注目。相机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。这些功能的组合使得能够测量宏观运动（以与更常见的相机类似的方式）和微观运动（当前低成本或低形状因子相机目前不可能）。微运动检测足够精确，可以捕获皮肤/身体形状的纳米变化，从而直接检测血流，监测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。我们的相机还可以与RF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机器学习模型中，这些模型将随着时间的推移进行监测、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，该系统将快速适应和发展定制的个人，提供精确的医疗保健监测和反馈。除了工程师和计算机科学家在传感器和数据分析工作，我们的计划涉及临床医生，他们将为我们的数据提供解释模型，也涉及合作伙伴，他们将使我们能够进入新一代智能家居，这些智能家居的用户已经是测试版，测试传感器监测例如总运动。

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.