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Characterization of daytime sleepiness by time-frequency measures of EEG signals

Autor
Guaita, M.; Melia, U.; Vallverdu, M.; Caminal, P.; Vilaseca, I.; Monserrat, J.; Gaig, C.; Clarià, F; Salamero, M.; Santamaria, J.
Tipus d'activitat
Article en revista
Revista
Journal of Medical and Biological Engineering
Data de publicació
2015-06-01
Volum
35
Número
3
Pàgina inicial
406
Pàgina final
417
DOI
https://doi.org/10.1007/s40846-015-0039-2 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/85124 Obrir en finestra nova
Resum
Excessive daytime sleepiness (EDS) is one of the main symptoms of several sleep-related disorders with a great impact on patient 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 detection approach based on the time-frequency analysis of electroencephalography (EEG) signals is proposed. Multichannel EEG signals were recorded during five maintenance of wakefulness (MWT) and multiple sleep l...
Citació
Guaita, M., Melia, U., Vallverdu, M., Caminal, P., Vilaseca, I., Monserrat, J., Gaig, C., Clarià, F, Salamero, M., Santamaria, J. Characterization of daytime sleepiness by time-frequency measures of EEG signals. "Journal of Medical and Biological Engineering", 01 Juny 2015, vol. 35, núm. 3, p. 406-417.
Paraules clau
Biomedical signal processing, CLINICAL-USE, DROWSINESS, EMPIRICAL MODE DECOMPOSITION, ENTROPY, Electroencephalography, Excessive daytime sleepiness, LATENCY TEST, MSLT, PERFORMANCE, SIMILARITIES, SPECTRUM, Time-frequency representation, WAKEFULNESS
Grup de recerca
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

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

Arxius