Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics
Author:
Affiliation:
1. Stanford University,Stanford Intelligent Systems Laboratory,Department of Aeronautics and Astronautics,Stanford,USA
2. University of California San Francisco,UCSF Weill Institute for Neurosciences,Department of Pediatrics,San Francisco,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10600689/10600715/10600979.pdf?arnumber=10600979
Reference16 articles.
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2. Mechanical ventilation: lessons from the ARDSNet trial
3. ARDSNetLower Tidal Volume Ventilatory Strategy May Generate Intrinsic Positive End-Expiratory Pressure in Patients with Acute Respiratory Distress Syndrome
4. Pressure-volume curves of the respiratory system;Harris;Respiratory care,2005
5. Controlling the Continuos Positive Airway Pressure-Device Using Partial Observable Markov Decision Processes
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