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使用现成工具进行重症监护中的兆字节级波形记录:计算机系统设计、数据库描述和经验教训。

Using "off-the-shelf" tools for terabyte-scale waveform recording in intensive care: computer system design, database description and lessons learned.

机构信息

Emory Center for Critical Care (ECCC) and Department of Surgery, School of Medicine, Emory University, Atlanta, GA, USA.

出版信息

Comput Methods Programs Biomed. 2011 Sep;103(3):151-60. doi: 10.1016/j.cmpb.2010.10.004. Epub 2010 Nov 18.

DOI:10.1016/j.cmpb.2010.10.004
PMID:21093093
Abstract

Until now, the creation of massive (long-term and multichannel) waveform databases in intensive care required an interdisciplinary team of clinicians, engineers and informaticians and, in most cases, also design-specific software and hardware development. Recently, several commercial software tools for waveform acquisition became available. Although commercial products and even turnkey systems are now being marketed as simple and effective, the performance of those solutions is not known. The additional expense upfront may be worthwhile if commercial software can eliminate the need for custom software and hardware systems and the associated investment in teams and development. We report the development of a computer system for long-term large-scale recording and storage of multichannel physiologic signals that was built using commercial solutions (software and hardware) and existing hospital IT infrastructure. Both numeric (1 Hz) and waveform (62.5-500 Hz) data were captured from 24 SICU bedside monitors simultaneously and stored in a file-based vital sign data bank (VSDB) during one-year period (total DB size is 4.21TB). In total, vital signs were recorded from 1,175 critically ill patients. Up to six ECG leads, all other monitored waveforms, and all monitored numeric data were recorded in most of the cases. We describe the details of building blocks of our system, provide description of three datasets exported from our VSDB and compare the contents of our VSDB with other available waveform databases. Finally, we summarize lessons learned during recording, storage, and pre-processing of physiologic signals.

摘要

到目前为止,在重症监护中创建大规模(长期和多通道)波形数据库需要临床医生、工程师和信息学家的跨学科团队,并且在大多数情况下,还需要专门的软件和硬件开发。最近,出现了几种用于波形采集的商业软件工具。尽管现在有商业产品甚至交钥匙系统被宣传为简单有效的,但这些解决方案的性能尚不清楚。如果商业软件可以消除对定制软件和硬件系统的需求以及团队和开发方面的相关投资,那么前期的额外费用可能是值得的。我们报告了一种使用商业解决方案(软件和硬件)和现有的医院 IT 基础架构构建的用于长期大规模记录和存储多通道生理信号的计算机系统的开发。从 24 个 SICU 床边监护仪同时捕获数字(1 Hz)和波形(62.5-500 Hz)数据,并在基于文件的生命体征数据库 (VSDB) 中存储在一个文件中在一年期间(总数据库大小为 4.21TB)。总共有 1175 名危重病患者记录了生命体征。在大多数情况下,记录了多达六个 ECG 导联、所有其他监测波形以及所有监测的数字数据。我们描述了我们系统构建块的详细信息,提供了从我们的 VSDB 导出的三个数据集的描述,并将我们的 VSDB 的内容与其他可用的波形数据库进行了比较。最后,我们总结了在生理信号记录、存储和预处理过程中获得的经验教训。

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