Automatic identification of cardiorespiratory biomarkers for remote management of chronic conditions

早期发现患者的临床恶化有助于减少重症监护病房（icu）的入院、心脏骤停、败血症和死亡。恶化通常通过身体信号的非常细微的变化（例如由心脏和呼吸功能直接产生的变化）在早期表现出来。准确测量这些信号并计算临床指标（通常称为“早期预警评分”）对于医疗保健专业人员识别患者是否处于危险中至关重要。不幸的是，目前测量这些信号并随后识别恶化的方法并不理想。这会导致非常严重的错误，有时甚至是悲剧性的错误。据估计，监测不良与约31%的可预防死亡有关，并与80%以上的严重不良事件有关。该项目的目的是将智能添加到现有的可治愈设备中，这些设备非常小且对患者友好。这将使自动提取生理参数成为可能，这些参数在家庭恶化的情况下是重要的。Acurable设备独特的物理传感特性将允许提取和解释更广泛的临床恶化指标，而不是以前使用这种小型设备所能做到的。因此，这将消除其他不引人注目的方法的局限性，并最大限度地减少错过或发现危及生命的恶化的风险。

Early detection of clinical deterioration in patients can help reduce admissions to intensive care units (ICUs), cardiac arrests, sepsis, and deaths. Deteriorations commonly manifest themselves early via very subtle changes in body signals, such as those directly generated by cardiac and respiratory functions. Accurately measuring those signals and computing clinical metrics (commonly referred to as "Early Warning Scores"), is essential in allowing healthcare professionals to identify whether a patient is at risk. Unfortunately, current methods to measure these signals, and subsequently identifying deteriorations, are suboptimal. This leads to very significant, and sometimes tragic, mistakes. It has been estimated that poor monitoring is implicated in around 31% of preventable deaths and is associated with over 80% of severe adverse events.The aim of this project is to add intelligence into the existing Acurable devices which are very small and patient friendly. This will make it possible to extract automatically physiological parameters which are important within the context of deteriorations at home. The unique physical sensing characteristics of Acurable devices will allow the extraction and interpretation of a much wider set of clinical indicators of deterioration than was ever possible with such a small device before. This will consequently eliminate the limitations of other unobtrusive methods, and minimise the risk of life-threatening deteriorations being missed or caught too late.