Physiologic data acquisition system and database for the study of disease dynamics in the intensive care unit

Brahm Goldstein, James McNames, Bruce A. McDonald, Miles Ellenby, Susanna Lai, Zhiyoung Sun, Donald Krieger, Robert J. Sclabassi

Research output: Contribution to journalArticle

49 Scopus citations

Abstract

Objective: To describe a real-time, continuous physiologic data acquisition system for the study of disease dynamics in the intensive care unit. Design: Descriptive report. Setting: A 16-bed pediatric intensive care unit in a tertiary care children's hospital. Patients: A total of 170 critically ill or injured pediatric patients. Interventions: None. Main Outcome Measures: None. Results: We describe a computerized data acquisition and analysis system for the study of critical illness and injury from the perspective of complex dynamic systems. Both parametric (1 Hz) and waveform (125-500 Hz) signals are recorded and analyzed. Waveform data include electrocardiogram, respiration, systemic arterial pressure (invasive and noninvasive), central venous pressure, pulmonary arterial pressure, left and right atrial pressures, intracranial pressure, body temperature, and oxygen saturation. Details of the system components are explained and examples are given from the resultant physiologic database of signal processing algorithms and signal analyses using linear and nonlinear metrics. Conclusions: We have successfully developed a real-time, continuous physiologic data acquisition system that can capture, store, and archive data from pediatric intensive care unit patients for subsequent time series analysis of dynamic changes in physiologic state. The physiologic signal database generated from this system is available for analysis of dynamic changes caused by critical illness and injury.

Original languageEnglish (US)
Pages (from-to)433-441
Number of pages9
JournalCritical care medicine
Volume31
Issue number2
DOIs
StatePublished - Feb 1 2003

Keywords

  • Bedside monitoring
  • Data acquisition
  • Disease dynamics
  • Waveform data

ASJC Scopus subject areas

  • Critical Care and Intensive Care Medicine

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