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Non-linear dynamic analysis of RR signals in patients with and without excessive daytime sleepiness

Autor
Melia, U.; Guaita, M.; Vallverdu, M.; Clarià, F; Caminal, P.; Embid, C.; Vilaseca, I.; Salamero, M.; Santamaria, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
Computing in Cardiology 2013
Any de l'edició
2013
Data de presentació
2013-09-22
Llibre d'actes
Computing in Cardiology 2013, vol. 40
Pàgina inicial
449
Pàgina final
452
Editor
Institute of Electrical and Electronics Engineers (IEEE)
Repositori
http://hdl.handle.net/2117/22878 Obrir en finestra nova
Resum
Linear and non-linear measures applied to heart rate variability (HRV) can be used to quantify modulation of the sympathetic and parasympathetic branches of the autonomic nervous system. RR signals were obtained from the ECG recorded during five Maintenance of Wakefulness (MWT) and Multiple Sleep Latency (MSLT) tests alternated throughout the day from patients suffering sleep disturbance. Two different end-points were considered: Study A, excessive daytime sleepiness (EDS) versus without daytim...
Citació
Melia, U. [et al.]. Non-linear dynamic analysis of RR signals in patients with and without excessive daytime sleepiness. A: Computing in Cardiology. "Computing in Cardiology 2013, vol. 40". Zaragoza: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 449-452.
Grup de recerca
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

  • Melia, Umberto Sergio Pio  (autor ponent)
  • Guaita, Marc  (autor ponent)
  • Vallverdú Ferrer, Montserrat  (autor ponent)
  • Clarià Sancho, Francesc  (autor ponent)
  • Caminal Magrans, Pedro  (autor ponent)
  • Embid, Cristina  (autor ponent)
  • Vilaseca, Isabel  (autor ponent)
  • Salamero, Manuel  (autor ponent)
  • Santamaria, J.  (autor ponent)

Arxius