Detection of epileptic seizures from single lead ECG by means of phase rectified signal averaging

Carolina Varon, Alexander Caicedo, Katrien Jansen, Lieven Lagae, Sabine Van Huffel

Research output: Chapter in Book/ReportConference contribution

6 Scopus citations

Abstract

Epileptic seizures have a clear effect on the regulatory mechanisms of the autonomic nervous system, especially on the cardiac and respiratory controls. Changes in heart rate and respiration are well known to occur around the onset of the seizure. This paper studies the ECG signals recorded from patients suffering from epilepsy, whose ages ranged from 3 to 48 years. Both focal and generalized seizures are considered. Changes in cardiorespiratory control and coupling, are assessed using phase rectified signal averaging (PRSA), wich is a technique that finds quasi-periodicities in noisy and non-stationary signals. A positive predictive value (PPV) of 86.21% with sensitivity of 100% was obtained for focal seizures, and a PPV of 84.3% with 93.1% sensitivity for generalized seizures.

Original languageEnglish (US)
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3789-3790
Number of pages2
ISBN (Electronic)9781424479290
DOIs
StatePublished - Nov 2 2014
Externally publishedYes
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Publication series

Name2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Conference

Conference2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Country/TerritoryUnited States
CityChicago
Period8/26/148/30/14

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering
  • General Medicine

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