Literature DB >> 20488287

Polysomnography.

Behrouz Jafari1, Vahid Mohsenin.   

Abstract

Polysomnography (PSG) is an essential tool for diagnosis of a variety of sleep disorders. The results of PSG should be interpreted in the context of a patient's history and medications and observation in the sleep laboratory. As new technologies evolve, it is expected that the field will evolve. Further work is needed to determine if computerized scoring, with or without human revision, may reliably replace visual scoring in normal and abnormal sleep. Improved techniques to measure and quantify sleep itself will allow for more meaningful assessment of sleep disruption that can lead to the recognition of new disorders and better predictions of the outcomes of these disorders. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20488287     DOI: 10.1016/j.ccm.2010.02.005

Source DB:  PubMed          Journal:  Clin Chest Med        ISSN: 0272-5231            Impact factor:   2.878


  18 in total

1.  Comparison of anterior mandible anatomical characteristics between obstructive sleep apnea patients and healthy individuals: a combined cone beam computed tomography and polysomnographic study.

Authors:  Mujgan Firincioglulari; Secil Aksoy; Kaan Orhan; Ulas Oz; Finn Rasmussen
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-01-24       Impact factor: 2.503

Review 2.  Sleep as a potential fundamental contributor to disparities in cardiovascular health.

Authors:  Chandra L Jackson; Susan Redline; Karen M Emmons
Journal:  Annu Rev Public Health       Date:  2015-03-18       Impact factor: 21.981

3.  Validation of Fitbit Charge 2 and Fitbit Alta HR Against Polysomnography for Assessing Sleep in Adults With Obstructive Sleep Apnea.

Authors:  Fernando Moreno-Pino; Alejandro Porras-Segovia; Pilar López-Esteban; Antonio Artés; Enrique Baca-García
Journal:  J Clin Sleep Med       Date:  2019-11-15       Impact factor: 4.062

4.  Covering the Gap Between Sleep and Cognition - Mechanisms and Clinical Examples.

Authors:  Javier Gomez-Pilar; Gonzalo C Gutiérrez-Tobal; Roberto Hornero
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

5.  Additional Measurement Approaches for Sleep Disturbances. Comment on "A Transdiagnostic Self-management Web-Based App for Sleep Disturbance in Adolescents and Young Adults: Feasibility and Acceptability Study".

Authors:  Tzung-Liang Liu; Wan-Tong Tsai
Journal:  JMIR Form Res       Date:  2022-06-13

6.  Sleeping Sickness Disrupts the Sleep-Regulating Adenosine System.

Authors:  Filipa Rijo-Ferreira; Theresa E Bjorness; Kimberly H Cox; Alex Sonneborn; Robert W Greene; Joseph S Takahashi
Journal:  J Neurosci       Date:  2020-10-23       Impact factor: 6.167

7.  Obstructive sleep apnea and incidence of postoperative delirium after elective knee replacement in the nondemented elderly.

Authors:  Benjamin J Flink; Sarah K Rivelli; Elizabeth A Cox; William D White; Grace Falcone; Thomas P Vail; Christopher C Young; Michael P Bolognesi; Andrew D Krystal; Paula T Trzepacz; Richard E Moon; Madan M Kwatra
Journal:  Anesthesiology       Date:  2012-04       Impact factor: 7.892

Review 8.  Sleep-Aids Derived from Natural Products.

Authors:  Zhenzhen Hu; Seikwan Oh; Tae-Woo Ha; Jin-Tae Hong; Ki-Wan Oh
Journal:  Biomol Ther (Seoul)       Date:  2018-07-01       Impact factor: 4.634

Review 9.  Working against the biological clock: a review for the Occupational Physician.

Authors:  Alfredo Copertaro; Massimo Bracci
Journal:  Ind Health       Date:  2019-02-22       Impact factor: 2.179

Review 10.  Recent Progress in Sleep Quality Monitoring and Non-drug Sleep Improvement.

Authors:  Jing Chi; Wei Cao; Yan Gu
Journal:  Front Hum Neurosci       Date:  2020-04-07       Impact factor: 3.169

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