Literature DB >> 26266052

Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review.

Diego Alvarez-Estevez1, Vicente Moret-Bonillo2.   

Abstract

Automatic diagnosis of the Sleep Apnea-Hypopnea Syndrome (SAHS) has become an important area of research due to the growing interest in the field of sleep medicine and the costs associated with its manual diagnosis. The increment and heterogeneity of the different techniques, however, make it somewhat difficult to adequately follow the recent developments. A literature review within the area of computer-assisted diagnosis of SAHS has been performed comprising the last 15 years of research in the field. Screening approaches, methods for the detection and classification of respiratory events, comprehensive diagnostic systems, and an outline of current commercial approaches are reviewed. An overview of the different methods is presented together with validation analysis and critical discussion of the current state of the art.

Entities:  

Year:  2015        PMID: 26266052      PMCID: PMC4523666          DOI: 10.1155/2015/237878

Source DB:  PubMed          Journal:  Sleep Disord        ISSN: 2090-3553


  124 in total

1.  Obstructive sleep apnoea syndrome: comparison between polysomnography and portable sleep monitoring based on jaw recordings.

Authors:  F Cheliout-Heraut; F Senny; F Djouadi; M Ouayoun; F Bour
Journal:  Neurophysiol Clin       Date:  2011-10-05       Impact factor: 3.734

Review 2.  Frequently used sleep questionnaires in epidemiological and genetic research for obstructive sleep apnea: a review.

Authors:  Annette C Fedson; Allan I Pack; Thorarinn Gislason
Journal:  Sleep Med Rev       Date:  2012-03-17       Impact factor: 11.609

3.  Obstructive sleep apnea-hypopnea and incident stroke: the sleep heart health study.

Authors:  Susan Redline; Gayane Yenokyan; Daniel J Gottlieb; Eyal Shahar; George T O'Connor; Helaine E Resnick; Marie Diener-West; Mark H Sanders; Philip A Wolf; Estella M Geraghty; Tauqeer Ali; Michael Lebowitz; Naresh M Punjabi
Journal:  Am J Respir Crit Care Med       Date:  2010-03-25       Impact factor: 21.405

4.  Monitoring of ventilation during exercise by a portable respiratory inductive plethysmograph.

Authors:  Christian F Clarenbach; Oliver Senn; Thomas Brack; Malcolm Kohler; Konrad E Bloch
Journal:  Chest       Date:  2005-09       Impact factor: 9.410

5.  An automated sleep-analysis system operated through a standard hospital monitor.

Authors:  Offer Amir; Deganit Barak-Shinar; Yariv Amos; Mary MacDonald; Stephen Pittman; David P White
Journal:  J Clin Sleep Med       Date:  2010-02-15       Impact factor: 4.062

6.  Oxygen saturation regularity analysis in the diagnosis of obstructive sleep apnea.

Authors:  Félix del Campo; Roberto Hornero; Carlos Zamarrón; Daniel E Abasolo; Daniel Alvarez
Journal:  Artif Intell Med       Date:  2005-12-28       Impact factor: 5.326

7.  [Validation study of a polygraphic screening device (BREAS SC20) in the diagnosis of sleep apnea-hypopnea syndrome].

Authors:  R Núñez; J Rey de Castro; E Socarrás; J M Calleja; R Rubio; F Aizpuru; J Durán-Cantolla
Journal:  Arch Bronconeumol       Date:  2003-12       Impact factor: 4.872

8.  Prediction of the apnea-hypopnea index from overnight pulse oximetry.

Authors:  Ulysses J Magalang; Jacek Dmochowski; Sateesh Veeramachaneni; Azmi Draw; M Jeffery Mador; Ali El-Solh; Brydon J B Grant
Journal:  Chest       Date:  2003-11       Impact factor: 9.410

9.  Arousals in sleep-disordered breathing: patterns and implications.

Authors:  Robert Joseph Thomas
Journal:  Sleep       Date:  2003-12-15       Impact factor: 5.849

10.  Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome.

Authors:  Vicente Moret-Bonillo; Diego Alvarez-Estévez; Angel Fernández-Leal; Elena Hernández-Pereira
Journal:  Open Med Inform J       Date:  2014-06-13
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  5 in total

Review 1.  A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications.

Authors:  E Smily JeyaJothi; J Anitha; Shalli Rani; Basant Tiwari
Journal:  Biomed Res Int       Date:  2022-02-16       Impact factor: 3.411

2.  Identification of arterial oxygen intermittency in oximetry data.

Authors:  Paulo P Galuzio; Alhaji Cherif; Xia Tao; Ohnmar Thwin; Hanjie Zhang; Stephan Thijssen; Peter Kotanko
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

3.  Computer-assisted analysis of polysomnographic recordings improves inter-scorer associated agreement and scoring times.

Authors:  Diego Alvarez-Estevez; Roselyne M Rijsman
Journal:  PLoS One       Date:  2022-09-29       Impact factor: 3.752

4.  Phenotype-Based and Self-Learning Inter-Individual Sleep Apnea Screening With a Level IV-Like Monitoring System.

Authors:  Hau-Tieng Wu; Jhao-Cheng Wu; Po-Chiun Huang; Ting-Yu Lin; Tsai-Yu Wang; Yuan-Hao Huang; Yu-Lun Lo
Journal:  Front Physiol       Date:  2018-07-02       Impact factor: 4.566

5.  Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea.

Authors:  Jean-Louis Pépin; Clément Letesson; Nhat Nam Le-Dong; Antoine Dedave; Stéphane Denison; Valérie Cuthbert; Jean-Benoît Martinot; David Gozal
Journal:  JAMA Netw Open       Date:  2020-01-03
  5 in total

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