Physiologic data acquisition system and database for the study of disease dynamics in the intensive care unit.
نویسندگان
چکیده
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.
منابع مشابه
Assessing the Performance of Nurses in the Proper Adjustment of Monitoring Instruments in the Neonatal Intensive Care Unit
Background: Monitoring serves to maintain physiologic variables within normal limits and when a parameter crosses a set threshold, an alarm is triggered. Therefore, this study aimed to determine whether alarm limits are properly adjusted in the neonatal intensive care unit (NICU) by nursing staff or not.Methods: The data concerning alarm limits corresponding to the three shifts of nursing...
متن کاملDesign and Implementation of a Fuzzy Intelligent System for Predicting Mortality in Trauma Patients in the Intensive Care Unit
Introduction: The intensive care unit is one of the most costly parts of the national health sector. These costs are largely attributable to the length of stay in the intensive care unit. For this reason, there are significant benefits in predicting patients' length of stay and the percentage of deaths in intensive care units. Therefore, in this study, a fuzzy logic based intelligent system was...
متن کاملDesign and Implementation of a Fuzzy Intelligent System for Predicting Mortality in Trauma Patients in the Intensive Care Unit
Introduction: The intensive care unit is one of the most costly parts of the national health sector. These costs are largely attributable to the length of stay in the intensive care unit. For this reason, there are significant benefits in predicting patients' length of stay and the percentage of deaths in intensive care units. Therefore, in this study, a fuzzy logic based intelligent system was...
متن کاملDevelopment inverse triage system in intensive care units using APACHE II scoring system for emergency situation: brief report
Background: Hospital bed capacity is one of problems in intensive care unit during at the time of crisis, emergencies and disasters. At this regard, it seems reverse triage can resolve this issue by using predictive score systems. This study was purposed to develop a reverse triage system in intensive care unit using APACHE II scoring system for crisis, emergencies and disasters situations. Me...
متن کاملDisease Outcome and Associated Factors among Neonates Admitted to Neonatal Intensive Care Unit at Jimma University Medical Center, Jimma, Southwest Ethiopia
Background: Neonatal period is a susceptible time in which the newborn has to adapt to a new environment and is vulnerable to many problems. This study aimed to assess the disease outcome and associated factors among neonates.Methods: This retrospective cross-sectional study was conducted from March 15, 2018, to March 30, 2018, on neonates (n=341) admitted to the Neonatal Intensive Care U...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Critical care medicine
دوره 31 2 شماره
صفحات -
تاریخ انتشار 2003