Analysis of cardiovascular and autonomic function

Current activities

  • Image processing software for the automatic recognition of biological tissue types based on texture histogram and Fourier spectrum correlation techniques.
  • Software based on the wavelet transform for the automatic classification and segmentation of ECG waveforms for clinical analysis and matching (Cardiology Department of the Manchester Royal Infirmary).
  • Software and instrumentation for the automated analysis of cardiovascular and autonomic function in the study of vasovagal syncope (Cardiology Department of the Manchester Royal Infirmary).
  • Digital signal processing algorithms for the automatic recognition and classification of atrial fibrillation events in ECG data.
  • Hardware and software systems for monitoring acceleration levels experienced by preterm neonates during emergency transportation.

For more information, visit the Signal Wizard website at: www.signalwizardsystems.com

Project main investigator: Professor Gaydecki

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