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
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
Application Open Date
29/02/2016
Application Close Date
31/12/2022
USQ Scholarship Applications
Pre-approved for Ethics
No
Admission Requirements
Please review the admission requirements for the academic program associated with this Thesis Topic