Intelligent analysis and visualization of IoT signals for medical emergency assistance

急诊是影响普通人群生活质量的关键因素之一。提供紧急医疗援助的一个主要挑战是整合来自无数不同来源的数据，以做出明智的决定。在许多情况下，医疗保健提供者，如医生，护士和EMT孤立地工作，在正确的时间沟通和交换适当的信息和重要的决策方面存在问题。传感器和通信技术的最新进展使全天候监测和数据收集变得更加容易。信息处理技术方面的类似进展也促进了众多的健康监测和决策，以提醒卫生专业人员注意危险状况，并协助他们作出适当的诊断决定。此外，沉浸式环境（如增强/虚拟现实（AR/VR））的最新进展已经开辟了通过利用AR/VR在本地或远程提供紧急援助的可能性，以通过数据可视化实现对患者状态的更好感知。然而，由于各种多学科技术挑战，在将数据分析，决策制定和沉浸式可视化集成到一个医疗保健系统中方面投入的努力非常有限。我们建议研究现代信息处理技术，以促进医疗急救服务。我们将开发利用各种物联网传感器记录患者症状的医疗保健系统，并通过智能信号处理/识别和可视化方法分析数据，以帮助医疗保健专业人员在紧急情况下进行及时诊断和决策。具体来说，我们试图解决智能信号处理和物联网数据的特征表示，鲁棒的信息融合和沉浸式环境中的上下文感知可视化方面的挑战性问题。将开发一个原型系统，并将其集成到行业合作伙伴的医疗保健平台中，并部署在医院和其他医疗保健单位，以评估所开发技术的性能。

Emergency healthcare is one of the key factors affecting the quality-of-life of the general population. A major challenge in providing emergency healthcare assistance is consolidation of data from myriads of different sources to make an informed decision. In many cases, healthcare providers such as doctors, nurses and EMTs work in isolation with problems in communicating and exchanging appropriate information and important decisions at the right time. Recent advances in sensor and communications technology have made round the clock monitoring and data collection much easier. Similar advances in information processing technologies have facilitated the multitude of health monitoring and decision-making to alert health professionals to threatening conditions and assist them in making proper diagnostic decisions. Moreover, recent advances in immersive environments like Augmented/Virtual Reality (AR/VR) have opened up possibilities to provide emergency assistance locally or remotely through utilizing AR/VR for achieving a better sense of the state of a patient through data visualization. Yet overall very limited effort has been invested in integrating data analysis, decision making, and immersive visualization into one healthcare system, due to various multidisciplinary technical challenges.** We propose to investigate modern information processing techniques to facilitate medical emergency service. We will develop healthcare systems utilizing various IoT sensors to record the symptoms of the patients and analyze the data with smart signal processing/recognition and visualization methods to assist the healthcare professionals in performing timely diagnosis and decision-making in emergency situations. Specifically, we attempt to solve challenging problems in intelligent signal processing and feature representation of the IoT data, robust information fusion, and context-aware visualization in immersive environment. A prototype system will be developed, and integrated into the industry partner's healthcare platform and deployed in hospitals and other healthcare units to evaluate the performances of the technologies developed.**********