Cardiovascular Diagnostics

This research theme conducts research to develop non-invasive diagnostic tools for various cardiovascular conditions. Research activities include mathematical modelling of cardiovascular systems, development of measurement and signal processing techniques validated through the use of statistical and clinical models.

Research Areas

Within this theme, the Institute places special emphasis placed on research activities in the following areas:

  • Mathematical modelling of cardiovascular systems
  • Measurement and signal processing techniques

Statistical, experimental and clinical validation is pursued in conjunction with all projects as appropriate.  More detail on the research areas is provided below:

A.Mathematical Modelling

  1. Arterial System
    The main purpose of this investigation is to develop mathematical models which simulate pressure wave propagation within the central and conduit arteries.  This information is intended to validate and improve current theories for non-invasive measurement of arterial stiffness.
  2. Cardiovascular System
    The overall aim of the project is to develop mathematical models which simulate the cardiovascular system of humans. Simulations are constructed at a level which allows simulation of responses to physiological and pharmacological challenges, for decision support and training purposes.
Measuring wavesWave spectrum
Flow within arteriesMeasuring and researching

B. Measurement and Signal Processing

  1. Blood Pressure Measurement
    The purpose of this research is to improve on current algorithms utilizing model-based and artificial intelligence approaches to create new variations on the oscillometric algorithm.  The new approaches are intended to be faster, more accurate and more robust.
  2. Biopotential Measurement
    The main aim of this project is to develop a methodology to design a sensing system which can be used to accurately measure cardiac potentials (ECG) by rejecting or compensating for artefacts due to movement. The techniques applied include sensor fusion.
  3. Arterial Function Measurement
    This area of research aims to explore ways to advance the use of bioimpedance measurements to solve clinical problems, such as non-invasively detecting thrombi and blood flow issues.
  4. Cardiac Auscultation
    The objective of this theme is to assist in the interpretation of heart sounds from digital stethoscopes.  Advanced signal processing techniques are applied to support clinician’s decision making.