Literature DB >> 17282768

Analysis of sleep fragmentation and sleep structure in patients with sleep apnea and normal volunteers.

T Penzel1, C-C Lo, P Ivanov, K Kesper, H Becker, C Vogelmeier.   

Abstract

Sleep disorders have a high prevalence. Sleep disorders are recognized first by the complaint of nonrestorative sleep. A quantification of the disorder is done by the investigation in a sleep laboratory. The investigation in the sleep laboratory examines the EEG, EOG and EMG to derive sleep stages. This is a labor intensive sleep scoring after the polysomnography investigation. Usually the time course of the sleep stages is quantified in terms of percentages of stages related to total sleep time and the latencies for the individual stages. The additional feature of transitions between sleep stages and the disruption of sleep, which corresponds to periods of wakefulness during sleep are not evaluated systematically. We have evaluated these transitions using a statistical approach. We have detected systematic differences in the distributions o sleep stages and wake states during sleep. This differences were investigates in normal subjects and patients with sleep apnea. Then these differences were investigated in different species. The difference in the distributions can be explained only by fundamentally different regulation of sleep and wakefulness.

Entities:  

Year:  2005        PMID: 17282768     DOI: 10.1109/IEMBS.2005.1616999

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  Survival analysis indicates that age-related decline in sleep continuity occurs exclusively during NREM sleep.

Authors:  Elizabeth B Klerman; Wei Wang; Jeanne F Duffy; Derk-Jan Dijk; Charles A Czeisler; Richard E Kronauer
Journal:  Neurobiol Aging       Date:  2012-06-23       Impact factor: 4.673

2.  Utility of sleep stage transitions in assessing sleep continuity.

Authors:  Alison Laffan; Brian Caffo; Bruce J Swihart; Naresh M Punjabi
Journal:  Sleep       Date:  2010-12       Impact factor: 5.849

3.  Quantification of the fragmentation of rest-activity patterns in elderly individuals using a state transition analysis.

Authors:  Andrew S P Lim; Lei Yu; Madalena D Costa; Aron S Buchman; David A Bennett; Sue E Leurgans; Clifford B Saper
Journal:  Sleep       Date:  2011-11-01       Impact factor: 5.849

Review 4.  EOG-Based Human-Computer Interface: 2000-2020 Review.

Authors:  Chama Belkhiria; Atlal Boudir; Christophe Hurter; Vsevolod Peysakhovich
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

5.  Sleep Fragmentation and Atherosclerosis: is There a Relationship?

Authors:  Sachin M Bhagavan; Pradeep K Sahota
Journal:  Mo Med       Date:  2021 May-Jun

6.  Sleep continuity: a new metric to quantify disrupted hypnograms in non-sedated intensive care unit patients.

Authors:  Xavier Drouot; Agathe Bridoux; Arnaud W Thille; Ferran Roche-Campo; Ana Cordoba-Izquierdo; Sandrine Katsahian; Laurent Brochard; Marie-Pia d'Ortho
Journal:  Crit Care       Date:  2014-11-25       Impact factor: 9.097

7.  Hippocampal and cortical communication around micro-arousals in slow-wave sleep.

Authors:  Gustavo Zampier Dos Santos Lima; Bruno Lobao-Soares; Gilberto Corso; Hindiael Belchior; Sergio Roberto Lopes; Thiago de Lima Prado; George Nascimento; Arthur Cavalcanti de França; John Fontenele-Araújo; Plamen Ch Ivanov
Journal:  Sci Rep       Date:  2019-04-10       Impact factor: 4.379

  7 in total

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