Poster
# 63
Poster |
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6th Internet World Congress for Biomedical Sciences |
Jose Ramon Sepulveda Sanchis(1), Juan Guerrero(2), EMILIO SORIA OLIVAS(3), Antonio Benetó(4), Enriqueta Gómez(5), Antonio J. Serrano López(6)
(1)universidad de valencia - valencia. Spain
(2)Departamento de Electrónica. Universidad de Valencia - Burjassot. Spain
(3)DPTO INGENIERÍA ELECTRONICA. FACULTAD DE FISICAS - BURJASSOT/VALENCIA. Spain
(4)(5)Hospital la Fé - Valencia. Spain
(6)Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain
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[Neuroscience] |
[Health Informatics] |
The data used were supplied from the Hospital La Fe of Valencia Database, recorded during a night (7 hours ) of sleep investigation, during which standard polysomnographic signals were recorded continuously. The standand Rechschaffen and Kales bipolar submental EMG and referential electrooculograms(EOGs) are used, as is the referential EEG.
Mean frequency, Mobility, and Zero Cross are used as potential indicators of arousal (3), each of them in three channels. And also the dispersion in the EOG channel. These characteristics are used as inputs for the neural network.
- Mean Frequency.
This index is the first moment ( effectively, the "center of gravity")of the frequency spectrum, and it gives an estimate of the central or mean EEG frequency.
- Mobility.
Giving a measure of the standard deviation of the slope with reference to the standard deviation of the amplitude. It is expressed as a ratio per time unit, this index is an estimate of EEG frequency.
- Zero Crossing.
This index indicates the number of times the EEG waveform crossed the zero potential level per unit time. This index is related to mean EEG frequency.
Data are preprocessed subtracting the mean value and dividing by the standard deviation. In order to give a relation within the arousal every epoch is subtracted from the epoch 3 seconds before, it due to the minimum duration of arousal (1).
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[Neuroscience] |
[Health Informatics] |
