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Bringing Model Based Ventilation Therapy to the Bedside

机译:将基于模型的通风疗法带到床边

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Modern approaches to respiratory therapy based on computer modeling ought to keep up with the latest technologies. In the era of tablet PCs and smartphones, lung diagnoses and therapy optimization could be brought to patients right at their bedside. To this end, previously presented simulations of patient physiology [1] were redesigned to run on mobile devices. Moreover, a socket communication over WiFi was established between a desktop computer and a tablet PC so that data read from the ventilator (Evita XL that is connected to the computer) can be transferred to the tablet. In order to run the application on an Android operating system, the previously developed MATLAB code must be rewritten in Java. A Graphical User Interface (GUI) was designed so that one can choose any combination of a ventilation mode (Volume Control, Pressure Control, SIMV or BiPAP), a combination of submodels describing lung mechanics, gas exchange and cardiovascular dynamics. Moreover, simulation can be adapted to individual patients by selecting lung diseases (chronic obstructive pulmonary disease or adult respiratory distress syndrome), as well as enter parameters for those selections. Outputs of interest such as airway pressure or flow can be reviewed after running the simulation thanks to an android library called androidplot. The presented software is constantly improved and extended to further implement additional ventilation modes and patient models. These initial tests show that mobile devices can easily be integrated into today's medical decision support. More sophisticated and less efficient calculations can be performed on servers running in parallel to the handheld system. The mathematical models of human respiratory system [1] and the simulation model for patient ventilator interaction [2] were successfully implemented in mobile devices.
机译:基于计算机建模的呼吸治疗方法应该跟上最新技术。在平板电脑和智能手机的时代,肺部诊断和治疗优化可以在床头柜上带到患者。为此,先前呈现的患者生理学的模拟[1]被重新设计以在移动设备上运行。此外,在台式计算机和平板电脑之间建立了通过WiFi的套接字通信,以便从呼吸机读取的数据(连接到计算机的evita XL)的数据转移到平板电脑。要在Android操作系统上运行应用程序,必须在Java中重写先前开发的MATLAB代码。设计了一种图形用户界面(GUI),使得可以选择通风模式(音量控制,压力控制,SIPV或BIPAP)的任何组合,是描述肺部力学,气体交换和心血管动态的子模沟的组合。此外,模拟可以通过选择肺部疾病(慢性阻塞性肺病或成人呼吸窘迫综合征)来适应各个患者,以及为这些选择的参数输入参数。通过名为Androidplot的Android库运行模拟后,可以审查诸如气道压力或流量等兴趣的产出。呈现的软件不断改进并扩展以进一步实现额外的通风模式和患者模型。这些初始测试表明,移动设备可以很容易地集成到今天的医学决策支持中。可以在与手持系统运行的服务器上执行更复杂和更少的有效计算。人类呼吸系统[1]的数学模型及患者呼吸机相互作用的仿真模型[2]在移动设备中成功实现。

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