Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjects.

All-night EEG recordings from 12 male apnea patients and 12 age-matched healthy control subjects were studied in the present work. The spectral mean frequency was used to provide computational sleep depth curves from two frontopolar and two central EEG channels. Our previously presented computationa...

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Detalles Bibliográficos
Publicado en:Medical & Biological Engineering & Computing Vol. 47; no. 1; pp. 3 - 11
Autores principales: Huupponen E, Saunamäki T, Saastamoinen A, Kulkas A, Tenhunen M, Himanen SL, Huupponen, E, Saunamäki, T, Saastamoinen, A, Kulkas, A, Tenhunen, M, Himanen, S-L
Formato: research Journal Article
Publicado: Springer Nature Jan2009
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:All-night EEG recordings from 12 male apnea patients and 12 age-matched healthy control subjects were studied in the present work. The spectral mean frequency was used to provide computational sleep depth curves from two frontopolar and two central EEG channels. Our previously presented computational parameters quantifying the properties of the sleep depth curves were improved. The resulting light sleep percentage (LS%) values were higher in apnea patients than in control subjects in the right central brain position (P = 0.028), in concordance to our previous work. Moreover, apnea patients showed higher LS% values in the right frontopolar position (P = 0.008). Also, apnea patients showed a smaller anteroposterior sleep depth difference than control subjects on the right hemisphere (P = 0.002). These are interesting new findings, achieved by the present methodology. Thus, the developed computational parameters were able to quantify, at least to some degree, the disruption of sleep process caused by the recurrent apneic events.