Suppr超能文献

重症监护病房中普适传感的潜力与挑战

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit.

作者信息

Davoudi Anis, Shickel Benjamin, Tighe Patrick James, Bihorac Azra, Rashidi Parisa

机构信息

Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.

Department of Medicine, University of Florida, Gainesville, FL, United States.

出版信息

Front Digit Health. 2022 May 17;4:773387. doi: 10.3389/fdgth.2022.773387. eCollection 2022.

Abstract

Patients in critical care settings often require continuous and multifaceted monitoring. However, current clinical monitoring practices fail to capture important functional and behavioral indices such as mobility or agitation. Recent advances in non-invasive sensing technology, high throughput computing, and deep learning techniques are expected to transform the existing patient monitoring paradigm by enabling and streamlining granular and continuous monitoring of these crucial critical care measures. In this review, we highlight current approaches to pervasive sensing in critical care and identify limitations, future challenges, and opportunities in this emerging field.

摘要

重症监护环境中的患者通常需要持续且多方面的监测。然而,当前的临床监测方法未能捕捉到诸如活动能力或躁动等重要的功能和行为指标。无创传感技术、高通量计算和深度学习技术的最新进展有望通过实现并简化对这些关键重症监护措施的精细且持续监测,来改变现有的患者监测模式。在本综述中,我们重点介绍了重症监护中普遍传感的当前方法,并确定了这一新兴领域的局限性、未来挑战和机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7201/9152012/e790c72ec311/fdgth-04-773387-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验