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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

Associate Supervisors

Research Affiliations
  • School of Agricultural, Computational and Environmental Sciences

Field of Research
  • Artificial Intelligence and Image Processing
  • Electrical and Electronic Engineering


Application Open Date
29/02/2016

Application Close Date
31/12/2020

USQ Scholarship Applications

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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