Fuzzy logic applied to apnoea monitoring in infants

  • Authors:
  • M. J. Burke;R. Downes

  • Affiliations:
  • Dept. of Electronic & Electrical Engineering, Trinity College, Dublin 2, Republic of Ireland;Getemed Medizin & Informationstechnik AG, Teltow, Germany

  • Venue:
  • SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

A unit has been designed which monitors newborn infants at risk of Sudden Infant Death Syndrome (SIDS) in a home environment. The unit monitors respiration, electrocardiogram (ECG) and haemoglobin oxygen saturation (SpO2), using an intelligent fuzzy logic algorithm to process the signals in order to detect any potentially life threatening event at an early stage. Provision is made for the generation of both audible and silent alarms and for the storage of signals and other information before, during and after an alarm episode for diagnostic purposes.