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Brain Health and Neurodegeneration

Engineering wearable brain-sensing and signal-analysis approaches to support brain-health and neurodegeneration research.

Wearable EEG and brain-signal sensing visual for brain-health and neurodegeneration research

Overview

This pillar focuses on accessible brain-sensing approaches, particularly wearable and reduced-channel EEG systems, together with robust signal-analysis workflows. The aim is to support research into cognition, ageing, neurodegeneration and brain-health monitoring through practical sensing technologies and interpretable physiological data.

Focus areas

  • Wearable, low-density and reduced-channel EEG sensing
  • Brain-signal features for cognition, ageing and neurodegeneration research
  • Resting-state and task-based physiological measurement protocols
  • Multimodal markers that complement EEG-based brain-health analysis
Wearable EEG and brain-signal sensing visual for brain-health and neurodegeneration research

Methods & technologies

  • EEG acquisition, preprocessing and artefact handling
  • Feature engineering, time-frequency analysis and signal modelling
  • Machine-learning workflows for brain-signal interpretation
  • Comparison of wearable sensor locations against established measurement approaches
Wearable EEGSignal processingTime-frequency analysisDigital biomarkersMultimodal sensingMachine learning

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People involved

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