Learning and model-based approaches to improved patient monitoring, assessment and treatment in capnography and procedural sedation
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Main Author: | Mieloszyk, Rebecca Jennie Asher |
---|---|
Other Authors: | Thomas Heldt and George C. Verghese. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/107351 |
Similar Items
-
Model-Based Estimation of Respiratory Parameters from Capnography, with Application to Diagnosing Obstructive Lung Disease
by: Abid, Abubakar, et al.
Published: (2021) -
Etomidate versus ketamine for procedural sedation in paediatric
Patients in the emergency department
by: Fatan, Ahmad Abdulbasitz Ahmad
Published: (2012) -
Children with anterior mediastinal mass: procedural sedation with dexmedetomidine
by: Hasan, M.S., et al.
Published: (2011) -
Instantaneous monitoring of heart beat dynamics during anesthesia and sedation
by: Valenza, Gaetano, et al.
Published: (2014) -
Predicting optimal sedation control with reinforcement learning
by: Vajapey, Anuhya.
Published: (2019)