Analysis of A-phase transitions during the cyclic alternating pattern under normal sleep.

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-RE...

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Publicado en:Medical & Biological Engineering & Computing Vol. 54; no. 1; pp. 133 - 149
Autores principales: Mendez, Martin, Chouvarda, Ioanna, Alba, Alfonso, Bianchi, Anna, Grassi, Andrea, Arce-Santana, Edgar, Milioli, Guilia, Terzano, Mario, Parrino, Liborio, Mendez, Martin Oswaldo, Bianchi, Anna Maria, Terzano, Mario Giovanni
Formato: research Journal Article
Publicado: Springer Nature Jan2016
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Analysis of A-phase transitions during the cyclic alternating pattern under normal sleep.
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          Mendez, Martin
          Chouvarda, Ioanna
          Alba, Alfonso
          Bianchi, Anna
          Grassi, Andrea
          Arce-Santana, Edgar
          Milioli, Guilia
          Terzano, Mario
          Parrino, Liborio
          Mendez, Martin Oswaldo
          Bianchi, Anna Maria
          Terzano, Mario Giovanni
        affil: Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, Lateral Av. Salvador Nava s/n 78290 San Luis Potosí (SLP) Mexico
      sug:
        subj:
          Sleep Physiology
          Middle Age
          Electroencephalography
          Adult
          Male
          Human
          Female
          Research Subjects
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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