Saeed Mollaee

ME student

Contact details

Uniservices House
70 Symonds St, Level 7

Phone: +64 9 923 1498; internal 81498


Saeed received his BSc in Mechanical Engineering in 2017 from Ferdowsi university of Mashhad. His focus was on the cardiovascular system and blood flow through the cannula for the patients with heart disease or waiting for the heart transplantation to prevent the thrombosis in the cannula.


Classification and Quantification of Colonic Motor Patterns Undergoing Neuromodulation Therapy

Fecal incontinence is a common condition, affecting up to 12% of the population, which leads to an impaired quality of life, a huge financial cost at individual and society levels. New diagnostics and therapies are being developed, which are proving to be effective. One of the more novel successful approaches for refractory patients is the use of neuromodulation (InterStim Therapy by Medtronic), whereby leads are implanted in the sacral foramina to target the sacral parasympathetic nerves (which control the bladder and bowel. The procedure costs approximately 30,000 NZD. There are potential pitfalls with the current implementation of the sacral nerve InterStim neuromodulation. First, there are no methods to optimise the therapy to patients who do not respond as expected to the defined protocol, or to adjust/personalise therapy according to symptoms and physiological markers. Currently, patients must undergo an expensive trial implantation phase of sacral neuromodulation, and only progress to implantation if symptoms improve, without reference to an actual physiological biomarker that can predict colonic response

The Colorectal Research group at the Department of Surgery has started to use high-resolution manometry catheter to record colonic motor function in patients, and plan to use this metric as a clinical biomarker to test the effectiveness of therapy [3]. Data is being collected using these novel catheters (36-72 channels, up to 4 to 16 hours of recording) in patients undergoing Interstim therapy. At present, the data is being analysed manually. This analysis is time consuming and subjective, limiting research and clinical progress. To progress to clinical utility, these analysis methods need to unbiased and reliable, with the potential ability for real time automation.

The focus on this proposal will be to build automated methods to detect and classify motor patterns, which will be validated across existing manual analysis (in controls and fecal incontinent patients). The methods will be trialed in patients data from pre- and post stimulation to assess the effectiveness of therapy by quantifying colonic motor activity patterns.

Research group


Area of expertise

  • Robot design and simulation
  • Heat and Fluid Mechanics
  • Computational Fluid Dynamics
  • Finite Element Analysis
  • Signal Processing