Bardt T F, Unterberg A W, Kiening K L, Schneider G H, Lanksch W R
Department of Neurosurgery, Virchow-Medical Center, Humboldt-University of Berlin, Federal Republic of Germany.
Acta Neurochir (Wien). 1998;140(4):357-65. doi: 10.1007/s007010050109.
Monitoring of comatose patients in the neurosurgical intensive care unit (NICU) is constantly extended by the development of new methods for monitoring of cerebral function, metabolism and oxygenation. To simplify the interpretation of the rising number of parameters, and to avoid data overflow, a multimodal cerebral monitoring (MCM) system has been developed for the acquisition, display, on-line analysis and recording of physiological parameters from multiple bedside data sources. This article describes the technical details and the design of this computerized data acquisition system for variable applications in clinical patient monitoring and research. A Windows (Microsoft Corporation, Redmont, Washington) platform was equipped with an analog/digital converter board. Software for multimodal cerebral monitoring was developed using LabVIEW for Windows (National Instruments, Austin, Texas), a graphical programming system. Two software modules were created: One for the automatic acquisition of data, display of time dependent trend graphs, processing of on-line histograms, special functions for research, and storage of data in compatible format. The other module serves as an off-line monitor to display recorded data in various modalities. The MCM system has been used in 30 comatose patients with severe head injury. Mean time of MCM is 5.3 days (+/- 2.8 days), resulting in a total running time of the system of about 3800 hrs. Hardware and software proved to run stable and safe. The MCM system has become a valuable tool for monitoring of comatose patients. The simultaneous display of trend graphs of various monitoring parameters and the online processing of histograms improved the survey of the patient's condition in the ICU. Recorded data were analysed offline and contribute to a consecutively increasing data bank.
随着用于监测脑功能、代谢和氧合的新方法不断发展,神经外科重症监护病房(NICU)中对昏迷患者的监测也在持续扩展。为了简化对不断增加的参数的解读,并避免数据溢出,已开发出一种多模式脑监测(MCM)系统,用于从多个床边数据源采集、显示、在线分析和记录生理参数。本文描述了这个计算机化数据采集系统的技术细节及其设计,该系统可用于临床患者监测和研究中的多种应用。一个Windows(微软公司,华盛顿州雷德蒙德)平台配备了一块模拟/数字转换板。使用用于Windows的LabVIEW(美国国家仪器公司,得克萨斯州奥斯汀)这一图形化编程系统开发了多模式脑监测软件。创建了两个软件模块:一个用于自动采集数据、显示随时间变化的趋势图、处理在线直方图、用于研究的特殊功能以及以兼容格式存储数据。另一个模块用作离线监测器,以多种模式显示记录的数据。MCM系统已应用于30例重度颅脑损伤的昏迷患者。MCM的平均使用时间为5.3天(±2.8天),该系统的总运行时间约为3800小时。硬件和软件被证明运行稳定且安全。MCM系统已成为监测昏迷患者的一个有价值的工具。各种监测参数趋势图的同时显示以及直方图的在线处理改善了对ICU中患者病情的观察。记录的数据进行离线分析,并为不断增加的数据库做出贡献。