Journal of Clinical Monitoring and Computing

, Volume 26, Issue 3, pp 207–215

A model-based decision support system for critiquing mechanical ventilation treatments


DOI: 10.1007/s10877-012-9362-0

Cite this article as:
Tehrani, F.T. & Abbasi, S. J Clin Monit Comput (2012) 26: 207. doi:10.1007/s10877-012-9362-0


A computerized system for critiquing mechanical ventilation treatments is presented that can be used as an aide to the intensivist. The presented system is based on the physiological model of the subject’s respiratory system. It uses modified versions of previously developed models of adult and neonatal respiratory systems to simulate the effects of different ventilator treatments on the patient’s blood gases. The physiological models that have been used for research and teaching purposes by many researchers in the field include lungs, body tissue, and the brain tissue. The lung volume is continuously time-varying and the effects of shunt in the lung, changes in cardiac output and cerebral blood flow, and the arterial transport delays are included in the system. Evaluation tests were done on adult and neonate patients with different diagnoses. In both groups combined, the differences between the arterial partial pressures of CO2 predicted by the system and the experimental values were 1.86 ± 1.6 mmHg (mean ± SD), and the differences between the predicted arterial hemoglobin oxygen saturation values, SaO2, and the experimental values measured by using pulse oximetry, SpO2, were 0.032 ± 0.02 (mean ± SD). The proposed system has the potential to be used alone or in combination with other decision support systems to set ventilation parameters and optimize treatment for patients on mechanical ventilation.


Decision support systems Mechanical ventilation Physiological modeling 

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Electrical EngineeringCalifornia State University, FullertonFullertonUSA
  2. 2.CHOP Newborn CarePennsylvania HospitalPhiladelphiaUSA
  3. 3.Department of PediatricsUniversity of Pennsylvania School of MedicinePhiladelphiaUSA

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