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Correntropy measures to detect daytime sleepiness from EEG signals

Autor
Melia, U.; Guaita, M.; Vallverdu, M.; Montserrat, J.; Vilaseca, I.; Salamero, M.; Gaig, C.; Caminal, P.; Santamaria, J.
Tipus d'activitat
Article en revista
Revista
Physiological measurement
Data de publicació
2014-10-01
Volum
35
Número
10
Pàgina inicial
2067
Pàgina final
2083
DOI
https://doi.org/10.1088/0967-3334/35/10/2067 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/25214 Obrir en finestra nova
URL
http://iopscience.iop.org/0967-3334/35/10/2067/pdf/0967-3334_35_10_2067.pdf Obrir en finestra nova
Resum
Excessive daytime sleepiness (EDS) is one of the main symptoms of several sleep related disorders and has a great impact on patients' lives. While many studies have been carried out in order to assess daytime sleepiness, automatic EDS detection still remains an open problem. In this work, a novel approach to this issue based on correntropy function analysis of EEG signals was proposed in order to detect patients suffering from EDS. Multichannel EEG signals were recorded during five Maintenance o...
Citació
Melia, U. [et al.]. Correntropy measures to detect daytime sleepiness from EEG signals. "Physiological measurement", 01 Octubre 2014, vol. 35, núm. 10, p. 2067-2083.
Paraules clau
CLINICAL-USE, DROWSINESS, LATENCY TEST, LYAPUNOV EXPONENT, MAINTENANCE, NONLINEAR-ANALYSIS, NORMAL ADULTS, ONSET, PERFORMANCE, WAKEFULNESS TEST, biomedical signal processing, complexity theory, correntropy, electroencephalography, excessive daytime sleepiness
Grup de recerca
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

  • Melia, Umberto Sergio Pio  (autor)
  • Guaita, Marc  (autor)
  • Vallverdú Ferrer, Montserrat  (autor)
  • Montserrat, Josep Maria  (autor)
  • Vilaseca, Isabel  (autor)
  • Salamero, Manuel  (autor)
  • Gaig Ventura, Carlos  (autor)
  • Caminal Magrans, Pedro  (autor)
  • Santamaria Cano, Joan  (autor)

Arxius