Moving the mountain: Non-conventional human body monitoring to enable energy harvester powered systems

可穿戴传感器是一种高度智能化的电子设备，可以很容易地放置在人体上，可以方便地监测一系列身体参数，促进疾病的诊断，甚至在危急情况下自动发出警报以寻求帮助。它们正迅速成为下一代人体长时间监测设备，并对管理我们的老龄化人口产生重大影响：在老年受试者的自动监测和警报生成方面;以及在年轻受试者中促进主动和预防性医疗保健和锻炼方面。然而，提供新的传感器，增强其功能，并保持电池寿命，因为我们采用了更耗电的复杂电子设备，这是一个重大的工程挑战。为了解决这个问题，未来的设备包括能量收集是至关重要的：在这里，通过使用环境中可用的固有能量为传感器供电来补充电池。因此，能量收集是创建传感器的唯一方法，这些传感器是电力自主的，并且可以超越电池提供的有限寿命。然而，适合佩戴在人体上的最先进的微型能量采集器只能提供非常少量的输出功率。为了充分实现这些潜在的好处，有必要设计新的技术来缩小可穿戴传感器所需的功率与微型能量采集器所提供的功率之间的差距。该项目将通过在人体非常规部位进行人体监测来弥补这一差距。目前的方法将能量收集器放置在所需生理信号最强的地方;该项目将设计技术，将生理监测移动到可以收集最多能量的地方。在身体上的非常规位置（例如手臂和腿）测量生理参数意味着信号较弱，并且更容易受到由于运动引起的伪影的干扰。这也意味着更多的能量可用于采集和为传感器和校正伪影存在所需的信号处理供电。这项研究将调查这些新的权衡，可穿戴传感器开始包括能量采集器。特别地，它将建立以下之间的权衡：生理信号强度、所收集的信号的运动伪影破坏和能量收集潜力。这将涉及从身体上的非常规部位收集生理数据，并创建数字信号处理方法，用于分析信号并处理与常规监测相比的新运动伪影。成功的成果将有助于我们对数字信号处理的了解，并提高我们创建能够执行复杂信号处理的自供电传感器的能力。这将为未来的可穿戴传感器、个性化和预防性医疗保健以及我们解决英国老龄化人口的医疗保健、社会和个人影响的能力带来重大好处。

Wearable sensors are highly miniaturised electronic devices that are easily placed on the human body and can conveniently monitor a range of body parameters, facilitate diagnosis of diseases, and even automatically raise alarms to summon help in critical situations. They are quickly emerging as next generation devices for the prolonged monitoring of the human body and have substantial impacts for managing our ageing population: both in terms of automatic monitoring and alarm generation in older subjects; and in promoting proactive and preventative healthcare and exercise in younger subjects. However, delivering new sensors, enhancing their functionality, and maintaining battery life as we incorporate more power hungry complex electronics is a major engineering challenge. To resolve this it is crucial that future devices include energy harvesting: here the batteries present are supplemented by using the intrinsic energy available in the environment to power the sensor. As a result, energy harvesting is the only method for creating sensors which are power autonomous and can go beyond the limited lifetimes provided by batteries. However, state-of-the-art miniature energy harvesters which are suitable for wearing on the human body can only provide very small amounts of output power. To realise the full potential benefits from these it is necessary to devise new techniques for closing the current gap between the power required by wearable sensors and the power provided by miniature energy harvesters. This project will bridge this gap by performing human body monitoring in non-conventional places on the body. Current approaches place the energy harvester where the wanted physiological signal is strongest; this project will devise techniques to move the physiological monitoring to where the most power can be harvested. Measuring physiological parameters in non-conventional locations on the body, such as the arms and legs, means the signals are weaker and more prone to interference from artefacts due to motion. It also means that substantially more energy is available for harvesting and to power both the sensor and the signal processing required to correct for the presence of artefacts. The research will investigate these new trade-offs that are available as wearable sensors begin to include energy harvesters. In particular it will establish the trade-off between: physiological signal strength, motion artefact corruption of the collected signal, and energy harvesting potential. This will involve collecting physiological data from non-conventional places on the body and creating digital signal processing approaches for analysing the signals and dealing with the new motion artefacts compared to conventional monitoring. The successful outcomes will contribute to our knowledge on digital signal processing and enhance our ability to create self-powered sensors that can perform complex signal processing. This will provide major benefits to future wearable sensors, to personalised and preventative healthcare, and to our ability to tackle the healthcare, societal, and personal implications of the UK's ageing population.