The School's Dr Javier Escudero is part of a team of researchers behind an innovative dementia diagnosis method based on machine learning. The method was proposed in a research article which has since been recognised as the top paper published in 2018 by BJGP Open, a journal edited by the Royal College of General Practitioners.

Illustration of a person's brain with overlay of artificially intelligence related illustrations

Because of the ageing population, the number of people with dementia will increase dramatically in the next years. Alzheimer's disease is the most common cause of dementia and it is particularly difficult to diagnose. We need better ways to detect and monitor the changes that Alzheimer's disease causes in the brain. To achieve this, we will consider the electroencephalogram (EEG), an affordable piece of equipment that can be used outside hospitals to measure brain activity safely at several locations over the scalp (called "channels").

We will create new signal processing tools to analyse EEG brain networks based on tensor factorisations to inspect how the components of brain activity networks change with time.

Research Themes: 

  • Signal and Image Processing
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