Suppr超能文献

为新生儿救护车转运寻找舒适路线。

Finding Comfortable Routes for Ambulance Transfers of Newborn Infants.

作者信息

Partridge Tom J, Morris David E, Light Roger A, Leslie Andrew, Sharkey Don, Crowe John A, McNally Donal S

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5905-5908. doi: 10.1109/EMBC44109.2020.9175873.

Abstract

Early inter-hospital ambulance transport of premature babies is associated with more severe brain injury. The mechanism is unclear, but they are exposed to excessive noise and vibration. Smart-routing may help minimise these exposure levels and potentially improve outcomes.An app for Android smartphones was developed to collect vibration, noise and location data during ambulance journeys. Four smartphones, with the app installed, were provided to the local neonatal transport group to attach to their incubator trolleys. An example of route comparison was performed on the roads used between Nottingham City Hospital (NCH) and Leicester Royal Infirmary (LRI).Almost 1,700 journeys were recorded over the space of a year. 39 of these journeys travelled from NCH to LRI, comprising of 9 different routes. Analysis was performed on all recorded data which travelled along each road. For routes from NCH to LRI, the route with least vibration was also the quickest. Noise levels, however, were found to increase with vehicle speed. Ambulance drivers in the study did not tend to take the quickest, smoothest or quietest route.Android smartphones are a practical method of gathering information about the in-ambulance environment. Routes were found to vary in vibration, noise and speed, suggesting these could be minimised. The next step is to combine recorded and clinical data to try and define an ideal neonatal comfort metric which can then be fed into the routing. Roll-out of the app around the UK is also planned.Clinical relevance-Transferring preterm neonatal infants to specialist units lead to worse outcomes. By reducing the levels of vibration and noise the infants are exposed to during transport, we hope to improve outcomes.

摘要

早产婴儿的早期院际救护车转运与更严重的脑损伤有关。其机制尚不清楚,但他们会受到过多噪音和振动的影响。智能路线规划可能有助于将这些暴露水平降至最低,并有可能改善预后。

开发了一款适用于安卓智能手机的应用程序,用于在救护车行程中收集振动、噪音和位置数据。向当地新生儿转运小组提供了四部安装了该应用程序的智能手机,以便连接到他们的保温箱手推车上。对诺丁汉市医院(NCH)和莱斯特皇家医院(LRI)之间使用的道路进行了路线比较示例。

一年时间里记录了近1700次行程。其中39次行程是从NCH到LRI,包括9条不同路线。对沿每条道路行驶的所有记录数据进行了分析。对于从NCH到LRI的路线,振动最小的路线也是最快的。然而,发现噪音水平会随着车速增加。研究中的救护车司机往往不会选择最快、最平稳或最安静的路线。

安卓智能手机是收集救护车内部环境信息的一种实用方法。发现不同路线在振动、噪音和速度方面存在差异,这表明可以将这些因素降至最低。下一步是将记录的数据与临床数据相结合,试图定义一个理想的新生儿舒适度指标,然后将其输入到路线规划中。还计划在英国各地推广该应用程序。

临床相关性——将早产新生儿转运到专科单位会导致更差的预后。通过降低婴儿在转运过程中所接触的振动和噪音水平,我们希望改善预后。

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