The signal processing research and consultancy group (SPRC) undertakes fundamental research in time-frequency signal processing with biomedical applications, with particular application to neonatal seizure treatment and prevention, fetal movement detection and generally improving health outcomes.

Research activities

1) Development of time-frequency signal processing algorithms and techniques

  • Design of reduced interference time-frequency distributions
  • Algorithm design for the implementation of discrete time-frequency distributions
  • Classification  of nonstationary signals in time-frequency and Doppler-lag domains
  • Time-frequency array processing of multichannel data
  • Design of optimal time-frequency matched filters
  • Algorithms for instantaneous frequency estimation

Time Frequency Signal Analysis (TFSA) Matlab Toolbox

2) Biomedical applications

  • Analysis of newborn EEG for abnormality detection and classification
    • Diagnostic and prognostic analysis of background and interictal EEG abnormalities
    • Newborn EEG seizure detection
  • Newborn EEG source localization
  • Multivariate brain connectivity analysis
  • Fetal movement detection
  • Data acquisition and labelling
  • Preprocessing of biological signals for noise and artifact removal


In the past decade over $5 million of competitive research funding has been obtained for seizure detection in the newborn, newborn EEG simulation and fetal movement detection.