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

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaContribución a la conferencia

5 Citas (Scopus)

Resumen

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.

Idioma originalInglés estadounidense
Título de la publicación alojada2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas3789-3790
Número de páginas2
ISBN (versión digital)9781424479290
DOI
EstadoPublicada - nov. 2 2014
Publicado de forma externa
Evento2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, Estados Unidos
Duración: ago. 26 2014ago. 30 2014

Serie de la publicación

Nombre2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Conferencia

Conferencia2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
País/TerritorioEstados Unidos
CiudadChicago
Período8/26/148/30/14

Áreas temáticas de ASJC Scopus

  • Informática aplicada a la salud
  • Informática aplicada
  • Ingeniería biomédica
  • Medicina (todo)

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