A Smart Ecosystem to improve Patient Monitoring using Wearables, Intelligent Agents, Complex Event Processing and Image Processing

Lorenzo De Lauretis, Fabio Persia, Stefania Costantini
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引用次数: 1

Abstract

Our work describes a smart-ecosystem able to mon-itor patients' health condition, even at home or at work, by ex-ploiting a creative blend of Medical Wearables, Intelligent Agents, Complex Event Processing and Image Processing. With the help of a smart application, that links together the Wearables and the power of Artificial Intelligence, patients will be continuously and actively supervised during their daily activities. This can even save their lives, in case sudden or gradual issues should occur. Using our system, patients with non-severe though potentially unstable chronic diseases will no longer overburden first aid services. This is also useful for containing the spread of COVID-19. Specifically, in this paper we focus on automated vitals monitoring, electrocardiogram (ECG) analysis, and Psoriasis detection.
使用可穿戴设备、智能代理、复杂事件处理和图像处理改善患者监测的智能生态系统
我们的工作描述了一个智能生态系统,能够通过利用医疗可穿戴设备、智能代理、复杂事件处理和图像处理的创造性融合,监测患者的健康状况,甚至在家里或工作中。在智能应用程序的帮助下,将可穿戴设备和人工智能的力量联系在一起,患者将在日常活动中受到持续和积极的监督。这甚至可以挽救他们的生命,以防突然或渐进的问题发生。使用我们的系统,非严重但可能不稳定的慢性病患者将不再使急救服务负担过重。这对遏制COVID-19的传播也很有用。具体来说,本文将重点介绍自动生命体征监测,心电图(ECG)分析和银屑病检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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