ARCHIMEDES: Accelerometry and Reservoir Computing for Home-compatible Intelligent Multimodel Early Detection of Epileptic Seizures

01 January 2008 → 31 October 2015
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Artificial intelligence
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Social sciences
    • Biological and physiological psychology
    • Cognitive science and intelligent systems
    • Developmental psychology and ageing
  • Medical and health sciences
    • Medical imaging and therapy
    • Neurosciences
    • Medical imaging and therapy
    • Neurosciences
    • Other paramedical sciences
    • Medical imaging and therapy
    • Neurosciences
  • Engineering and technology
    • Nanotechnology
    • Design theories and methods
epileptic seizure spiking neural networks reservoir computing accelerometer stretchable substrate EEG detection
Project description

This project tackles fundamental research on the technology needed for an automatic epileptic seizure detection system. It uses flexible and stretchable substrates with various sensors, it processes EEG signals and other measurements data and it uses the reservoir computing neural network technique. This leads to a fast detection system, tailored to individual patients and fit for a home detection system.