先兆子痫检测的网络物理平台
Cyber-Physical Platform for Preeclampsia Detection
摘要：
高血压相关疾病是全球最常见的妊娠并发症。它们在高达8%的病例中表现出来，如果不加以治疗，可能会导致严重的有害影响。早期发现他们的突然发作可以帮助医生减轻病情，改善未来母亲和婴儿的结局。如今智能手机和高性价比可穿戴技术的普及为个性化医疗提供了新的机遇。现有的设备促进心脏健康，它们监测和鼓励身体活动并测量睡眠质量。这引起了用户的兴趣，并鼓励他们需要更高级的功能。我们相信这些方面形成了创造和销售专用可穿戴设备的合适条件。本文详细介绍了一种围绕智能手环构建的网络物理系统，用于监测针对孕妇的高血压相关疾病。该手镯使用微流体层，该微流体层通过血液挤压动脉壁而被压缩。集成传感器记录波形并将其发送到用户的智能手机，在那里确定心脏收缩和心脏舒张值。该系统目前在欧盟研究基金的资助下开发，包括一个软件服务器，其中存储数据并通过机器学习进行进一步处理。
英文摘要：
Hypertension-related conditions are the most prevalent complications of pregnancy worldwide. They manifest in up to 8% of cases and if left untreated, can lead to serious detrimental effects. Early detection of their sudden onset can help physicians alleviate the condition and improve outcomes for both would-be mother and baby. Today's prevalence of smartphones and cost-effective wearable technology provide new opportunities for individualized medicine. Existing devices promote heart health, they monitor and encourage physical activity and measure sleep quality. This builds interest and encourages users to require more advanced features. We believe these aspects form suitable conditions to create and market specialized wearable devices. The present paper details a cyber-physical system built around an intelligent bracelet for monitoring hypertension-related conditions tailored to pregnant women. The bracelet uses a microfluidic layer that is compressed by the blood pressing against the arterial wall. Integrated sensors register the waveform and send it to the user's smartphone, where the systolic and diastolic values are determined. The system is currently developed under European Union research funding, and includes a software server where data is stored and further processing is carried out through machine learning.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
