Physiologic data acquisition system and database for the study of disease dynamics in the intensive care unit.
OBJECTIVE
To describe a real-time, continuous physiologic data acquisition system for the study of disease dynamics in the intensive care unit.


METHODS
Descriptive report.


METHODS
A 16-bed pediatric intensive care unit in a tertiary care children's hospital.


METHODS
A total of 170 critically ill or injured pediatric patients.


METHODS
None.


METHODS
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.
Goldstein
Brahm
B
Division of Pediatric Critical Care, Doernbecher Children's Hospital, Oregon Health Sciences University, Portland, USA.
McNames
James
J
McDonald
Bruce A
BA
Ellenby
Miles
M
Lai
Susanna
S
Sun
Zhiyoung
Z
Krieger
Donald
D
Sclabassi
Robert J
RJ
D000465:Algorithms; D002648:Child; D003625:Data Collection; D016208:Databases, Factual; D006776:Hospitals, Pediatric; D006801:Humans; D015278:Intensive Care Units, Pediatric / Q000706:statistics & numerical data*; D008991:Monitoring, Physiologic; D010829:Physiological Phenomena