Bio-modelling/Bioinformatics group

(Prof R. Bayford, Prof M Woodman, Dr. D Purchase and Mr A. Tizzard)

Previously, predominately, based within the Medical Physics and Bio Engineering Department at UCL, Prof Bayford has moved all his work back into Middlesex University to the new build at the Enfield Campus and a new-shared bioinformatics facility at Trent Park. Research interest includes Electrical impedance Tomography (EIT), Tele-Medicine, EEG, Silicon Sensor design. The main research focus is to utilise electrical impedance changes as a measurement parameter in biological analysis. For human head imaging and real time neural monitoring of the brain, the advantage of EIT is size: It is smaller, cheaper and safer than NMI of CAT scanning. The major advantage is that it is portable so that images can be generated at point of care, eg carried within an ambulance to give vital image data on a stroke victim found at home; or a head injury as a result of a road accident. As such this represent true 'blue skies' research with enormous potential.

On going research studies are:

Brain modelling and imaging (Prof Bayford & Mr Tizzard)

  • Electrical impedance Tomography (EIT) of the human brain
  • Deep brain stimulation and modelling.

Application of telemedicine for real time compliance monitoring (Prof Bayford, Prof Hamilton plus Prof Woodman)

  • Asthma and hard rate variability monitoring
  • Computer aided analysis of large scale data set in telecare

Silicon Biosensors (Prof Bayford, Prof Iles and Dr Andreas Demosthenous UCL)

  • Application of Electrical impedance spectroscopy as an alternative to photonics in biosensors and bioanalytical instruments.
  • The Biochip -

GRID e-science applications in bio-modelling (Prof Bayford, Prof Iles and Prof Woodman)

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