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Research Thesis Topic

Development of Depth of Anaesthesia Monitoring Techniques

Topic ID:
107
Thesis Topic/Title:
Development of Depth of Anaesthesia Monitoring Techniques
Description

The use of clinical signs for assessing depth of anaesthesia (DoA), although universally employed, is notoriously unreliable. Changes in middle latency auditory evoked potentials have been shown to reflect reliably the level of anaesthesia with a wide range of anaesthesia drugs and to detect awareness.
This study is to develop a reliable method to evaluate the depth of anaesthesia to minimize the change of awareness and overdosing.

Principal Supervisor

Professor Yan Li

Associate Supervisors
Research Affiliations
  • School of Agricultural, Computational and Environmental Sciences
Field of Research
  • Artificial Intelligence and Image Processing
  • Electrical and Electronic Engineering
Available Academic Programs
  • Doctor of Philosophy (DPHD)
  • Doctor of Philosophy (DPHD)
  • Doctor of Philosophy (DPHD)
  • Doctor of Philosophy (DPHD)
  • Master of Research (MRES)
Application Open Date
29/02/2016
Application Close Date
31/12/2022
USQ Scholarship Applications
Yes
Pre-approved for Ethics
No
Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic


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