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INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit.
Journal of Biomedical informatics ( IF 4.5 ) Pub Date : 2020-04-28 , DOI: 10.1016/j.jbi.2020.103434
Yingcheng Sun 1 , Fei Guo 2 , Farhad Kaffashi 2 , Frank J Jacono 3 , Michael DeGeorgia 4 , Kenneth A Loparo 2
Affiliation  

Modern intensive care units (ICU) are equipped with a variety of different medical devices to monitor the physiological status of patients. These devices can generate large amounts of multimodal data daily that include physiological waveform signals (arterial blood pressure, electrocardiogram, respiration), patient alarm messages, numeric vitals data, etc. In order to provide opportunities for increasingly improved patient care, it is necessary to develop an effective data acquisition and analysis system that can assist clinicians and provide decision support at the patient bedside. Previous research has discussed various data collection methods, but a comprehensive solution for bedside data acquisition to analysis has not been achieved. In this paper, we proposed a multimodal data acquisition and analysis system called INSMA, with the ability to acquire, store, process, and visualize multiple types of data from the Philips IntelliVue patient monitor. We also discuss how the acquired data can be used for patient state tracking. INSMA is being tested in the ICU at University Hospitals Cleveland Medical Center.

中文翻译:

INSMA:重症监护室中用于多模式数据采集和分析的集成系统。

现代重症监护病房(ICU)配备了各种不同的医疗设备,以监测患者的生理状况。这些设备每天可以生成大量的多模式数据,包括生理波形信号(动脉血压,心电图,呼吸信号),患者警报消息,生命数字数值等。为了提供机会来改善患者的护理,有必要开发有效的数据采集和分析系统,以协助临床医生并在患者床边提供决策支持。先前的研究讨论了各种数据收集方法,但尚未获得用于床头数据采集以进行分析的全面解决方案。在本文中,我们提出了一种称为INSMA的多峰数据采集和分析系统,能够从Philips IntelliVue患者监护仪获取,存储,处理和可视化多种类型的数据。我们还将讨论如何将获取的数据用于患者状态跟踪。INSMA正在克利夫兰大学医院医疗中心的ICU中进行测试。
更新日期:2020-04-28
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