Engineering design of reconfigurable medical resuscitation systems
Meng, Shaoyu
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/115590
Description
Title
Engineering design of reconfigurable medical resuscitation systems
Author(s)
Meng, Shaoyu
Issue Date
2022-04-29
Director of Research (if dissertation) or Advisor (if thesis)
Sha, Lui
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
medical system
medical device
resuscitation system
Abstract
Resuscitation software support systems help physicians and nurses to better organize team workflows and manage treatment history in a time and resource constrained environment. Such systems follow protocols that can significantly improve treatment quality and reduce the errors that deviate from resuscitation algorithms. However, the best practice algorithms may evolve over years and it brought some challenges to the long term use of such systems. Moreover, during practice, each hospital often have some custom software parts and the system needs to be tailored to different end users. It would be important to design such systems to be reconfigurable.
The term reconfigurability here not only means we need to cover a polymorphism of treatment algorithms and hospital specific layout and logic, but also suggests it need to be adjusted to different team roles and different modes such as training, simulation or actual usage. As a good software engineering practice, tests of such system to make it reliable should also be modularized and reconfigurable.
The focus of this thesis summarizes the principles to make the system more reconfigurable based on prior works. Our implementation formalizes different protocols pioneered by physicians, and uses digital twin concept to model the patient. The contributions in this thesis includes an architecture change that improved medical logic verifiability and extensibility by using a verifiable medical language MediK to replace YAKINDU Statechart Tools. Additional changes include shifting into browser/server structure from client/server structure for remote deployment and faster integration during COVID-19.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.