Chris Pretty

Associate ProfessorChris Pretty

Co-Director of Mechatronics/ Director of Studies - Mechatronics 1st Pro Year
Civil Mechanical E513
Internal Phone: 92393


Research Interests

My research interests are predominantly focused towards bioengineering and mobile robotics.

Within bioengineering, my primary interest is in model-based therapeutics, which is at the intersection of engineering, clinical medicine, and physiology. I am involved with the modelling, sensing, and control of dynamic physiological systems for clinical medicine, especially in the critical care environment. My research has particular emphasis on solutions that provide significant, improved clinical outcomes for patients and reduced cost/effort for clinicians. Examples of my current research activities in this area include:

• Cardiac output modelling
• Blood glucose control
• Optimal mechanical ventilation
• Blood oxygenation monitoring

At the intersection of bioengineering and mobile robotics, my research involves assistive robotics, particularly for stroke rehabilitation. A specific focus in this area is the integration and interaction of the users muscles with external actuators in a hybrid system to reduce weight and cost, and enable new rehabilitation strategies.

My mobile robotics research also includes accurate localisation methods, inspection, and collaborative robotics involving unmanned aerial, ground, and underwater vehicles.

Recent Publications

  • Fortune BC., Pretty CG., Cameron CJ., McKenzie LR., Chatfield LT. and Hayes MP. (2021) Electrode–skin impedance imbalance measured in the frequency domain. Biomedical Signal Processing and Control 63
  • Balmer J., Pretty CG., Davidson S., Mehta-Wilson T., Desaive T., Smith R., Shaw GM. and Chase JG. (2020) Clinically applicable model-based method, for physiologically accurate flow waveform and stroke volume estimation. Computer Methods and Programs in Biomedicine 185
  • Balmer J., Smith R., Pretty CG., Desaive T., Shaw GM. and Chase JG. (2020) Accurate end systole detection in dicrotic notch-less arterial pressure waveforms. Journal of Clinical Monitoring and Computing
  • Davidson SM., Uyttendaele V., Pretty CG., Knopp JL., Desaive T. and Chase JG. (2020) Virtual patient trials of a multi-input stochastic model for tight glycaemic control using insulin sensitivity and blood glucose data. Biomedical Signal Processing and Control 59
  • Fortune BC., Pretty CG., Chatfield LT., McKenzie LR. and Hayes MP. (2020) Data captured using low-cost active electromyography. Data in Brief 29