Literature DB >> 30149930

Devices for home detection of obstructive sleep apnea: A review.

Fábio Mendonça1, Sheikh Shanawaz Mostafa1, Antonio G Ravelo-García2, Fernando Morgado-Dias3, Thomas Penzel4.   

Abstract

One of the most common sleep-related disorders is obstructive sleep apnea, characterized by a reduction of airflow while breathing during sleep and cause significant health problems. This disorder is mainly diagnosed in sleep labs with polysomnography, involving high costs and stress for the patient. To address this situation multiple systems have been proposed to conduct the examination and analysis in the patient's home, using sensors to detect physiological signals that are examined by algorithms. The objective of this research is to review publications that show the performance of different devices for ambulatory diagnosis of sleep apnea. Commercial systems that were examined by an independent research group and validated research projects were selected. In total 117 articles were analysed, including a total of 50 commercial devices. Each article was evaluated according to diagnostic elements, level of automatisation implemented and the deducted level of evidence and quality rating. Each device was categorized using the SCOPER categorization system, including an additional proposed category, and a final comparison was performed to determine the sensors that provided the best results.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Home detection; Monitoring devices; Sleep apnea

Mesh:

Year:  2018        PMID: 30149930     DOI: 10.1016/j.smrv.2018.02.004

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  12 in total

1.  Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity.

Authors:  Jessie P Bakker; Marco Ross; Ray Vasko; Andreas Cerny; Pedro Fonseca; Jeff Jasko; Edmund Shaw; David P White; Peter Anderer
Journal:  J Clin Sleep Med       Date:  2021-07-01       Impact factor: 4.324

2.  The efficacy of a titrated tongue-stabilizing device on obstructive sleep apnea: a quasi-experimental study.

Authors:  Waled M Alshhrani; Mona M Hamoda; Kentaro Okuno; Yuuya Kohzuka; John A Fleetham; Najib T Ayas; Robert Comey; Fernanda R Almeida
Journal:  J Clin Sleep Med       Date:  2021-08-01       Impact factor: 4.324

Review 3.  Journal of Clinical Monitoring and Computing 2018-2019 end of year summary: respiration.

Authors:  D S Karbing; G Perchiazzi; S E Rees; M B Jaffe
Journal:  J Clin Monit Comput       Date:  2020-01-24       Impact factor: 2.502

Review 4.  A Systematic Review of Detecting Sleep Apnea Using Deep Learning.

Authors:  Sheikh Shanawaz Mostafa; Fábio Mendonça; Antonio G Ravelo-García; Fernando Morgado-Dias
Journal:  Sensors (Basel)       Date:  2019-11-12       Impact factor: 3.576

Review 5.  The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise.

Authors:  Andrea Nicolò; Carlo Massaroni; Emiliano Schena; Massimo Sacchetti
Journal:  Sensors (Basel)       Date:  2020-11-09       Impact factor: 3.576

6.  Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network.

Authors:  Huijun Yue; Yu Lin; Yitao Wu; Yongquan Wang; Yun Li; Xueqin Guo; Ying Huang; Weiping Wen; Gansen Zhao; Xiongwen Pang; Wenbin Lei
Journal:  Nat Sci Sleep       Date:  2021-03-12

7.  Proposal for a Home Sleep Monitoring Platform Employing a Smart Glove.

Authors:  Remo Lazazzera; Pablo Laguna; Eduardo Gil; Guy Carrault
Journal:  Sensors (Basel)       Date:  2021-11-29       Impact factor: 3.576

8.  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

Review 9.  Alternative algorithms and devices in sleep apnoea diagnosis: what we know and what we expect.

Authors:  Thomas Penzel; Ingo Fietze; Martin Glos
Journal:  Curr Opin Pulm Med       Date:  2020-11       Impact factor: 2.868

10.  Use of facial stereophotogrammetry as a screening tool for pediatric obstructive sleep apnea by dental specialists.

Authors:  Nathalia Carolina Fernandes Fagundes; Terry Carlyle; Oyku Dalci; M Ali Darendeliler; Ida Kornerup; Paul W Major; Andrée Montpetit; Benjamin T Pliska; Stacey Quo; Giseon Heo; Carlos Flores Mir
Journal:  J Clin Sleep Med       Date:  2022-01-01       Impact factor: 4.062

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