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Author Mendez, Martin Oswaldo ♦ Chouvarda, Ioanna ♦ Alba, Alfonso ♦ Bianchi, Anna Maria ♦ Grassi, Andrea ♦ Arce Santana, Edgar ♦ Milioli, Guilia ♦ Terza, Mario Giovanni ♦ Parri, Liborio
Source SpringerLink
Content type Text
Publisher Springer Berlin Heidelberg
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health
Subject Keyword Sleep ♦ CAP ♦ Nonlinear analysis ♦ Border identification ♦ EEG ♦ Human Physiology ♦ Biomedical Engineering ♦ Imaging ♦ Radiology ♦ Computer Applications
Abstract An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating pattern (CAP) during sleep is presented. CAP is a sleep phenomenon composed by consecutive sequences of A-phases (each A-phase could belong to a possible group A1, A2 or A3) observed during the non-REM sleep. Each A-phase is separated by a B-phase which has the basal frequency of the EEG during a specific sleep stage. The patterns formed by these sequences reflect the sleep instability and consequently help to understand the sleep process. Ten recordings from healthy good sleepers were included in this study. The current study investigates complexity, statistical and frequency signal properties of electroencephalography (EEG) recordings at the transitions: B-phase—A-phase. In addition, classification between the onset–offset of the A-phases and B-phase was carried out with a kNN classifier. The results showed that EEG signal presents significant differences (p < 0.05) between A-phases and B-phase for the standard deviation, energy, sample entropy, Tsallis entropy and frequency band indices. The A-phase onset showed values of energy three times higher than B-phase at all the sleep stages. The statistical analysis of variance shows that more than 80 % of the A-phase onset and offset is significantly different from the B-phase. The classification performance between onset or offset of A-phases and background showed classification values over 80 % for specificity and accuracy and 70 % for sensitivity. Only during the A3-phase, the classification was lower. The results suggest that neural assembles that generate the basal EEG oscillations during sleep present an over-imposed coordination for a few seconds due to the A-phases. The main characteristics for automatic separation between the onset–offset A-phase and the B-phase are the energy at the different frequency bands.
ISSN 01400118
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-08
Publisher Place Berlin, Heidelberg
e-ISSN 17410444
Journal Medical and Biological Engineering and Computing
Volume Number 54
Issue Number 1
Page Count 16
Starting Page 133
Ending Page 148


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Source: SpringerLink