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

01 January 2008 → 31 October 2015
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Artificial intelligence not elsewhere classified
  • Medical and health sciences
    • Neurological and neuromuscular diseases
  • Engineering and technology
    • Biomedical signal processing
spiking neural networks accelerometer epileptic seizure stretchable substrate reservoir computing EEG detection
Project description

This project tackles fundamental resesarch 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 measurement 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.