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Full-Text Articles in Engineering
Automatic Data Collection System And Video Laryngoscope Database, Gabrielle Hoyer
Automatic Data Collection System And Video Laryngoscope Database, Gabrielle Hoyer
Utah Space Grant Consortium
The aggregate intubation data collected by a network of video laryngoscopes can be processed to understand the quality of an individual’s or a group of individual’s practice(s). Currently, all data surrounding intubations is self-reported and not understood on an aggregate basis. We are developing a technology which can enable monitoring and benchmarking of intubations across a wide variety of practices.
Predicting Propofol-Induced Burst Suppression Using An Individualized Model-Based Approach Over Repeated Treatments, Jason C. Huang
Predicting Propofol-Induced Burst Suppression Using An Individualized Model-Based Approach Over Repeated Treatments, Jason C. Huang
Utah Space Grant Consortium
Our group is investigating the antidepressant effects of high-dose propofol, but dosing propofol to induce standardized changes in EEG activity (“burst suppression”) is challenging due to limited knowledge of each subject’s pharmacokinetics (PK) and pharmacodynamics (PD). In this paper, we approximated PK-PD models for propofol-induced burst suppression (PIBS), based on multiple subjects over repeated treatments. We then applied these models to predict BSR in each subject’s repeated treatment, then evaluate their predictive performances. We hypothesized that predicting BSR from a greater number of previous treatments would improve performance, but our current results are not conclusive enough to validate the hypothesis. …
A Reinforcement Learning Based Control Approach For Propofol-Induced Burst Suppression, Jason C. Huang, Scott C. Tadler, Brian J. Mickey, Keith Jones
A Reinforcement Learning Based Control Approach For Propofol-Induced Burst Suppression, Jason C. Huang, Scott C. Tadler, Brian J. Mickey, Keith Jones
Utah Space Grant Consortium
High-dose propofol is being investigated for its potential antidepressant effect. Propofol is titrated to induce burst suppression, a specific EEG pattern. However, propofol is difficult to dose due to uncertainty in each patient’s pharmacokinetics (PK) and pharmacodynamics (PD), and the lack of a commercially available monitor of propofol concentration. Clinicians currently infer the proper drug dose after observing the EEG response to the given dose. In this report we share our development of an automated controller to optimally administer propofol-induced burst suppression. We designed a deep deterministic policy gradient (DDPG) algorithm, which includes two deep neural networks and relates a …