Automatic identification of cardiorespiratory biomarkers for remote management of chronic conditions

自动识别心肺生物标志物，用于慢性病的远程管理

• 批准号: 10033772
• 金额: $ 44.6万
• 依托单位: ACURABLE LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10033772
• 关键词: Automatic; identification; cardiorespiratory; biomarkers; remote

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.

早期发现患者的临床恶化可以帮助减少重症监护室（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微妙的变化早期表现出来，例如心脏和呼吸功能直接产生的信号。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风险中至关重要。不幸的是，目前的方法来测量这些信号，并随后识别恶化，是次优的。这会导致非常严重的，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，与80%以上的严重不良事件有关。该项目的目的是为现有的Acured设备增加智能，这些设备非常小，对患者友好。这将使得有可能自动提取生理参数，这些参数在家庭恶化的背景下是重要的。Acured器械独特的物理传感特性将允许提取和解释比以前使用如此小的器械可能更广泛的临床恶化指标。因此，这将消除其他不引人注目的方法的局限性，并最大限度地减少危及生命的恶化被错过或发现太晚的风险。