Literature DB >> 28118865

Polysomnography Challenges.

Max Hirshkowitz1.   

Abstract

Polysomnography provided a means to objectively study sleep. Initial challenges were technical; the next challenge was overcoming communication difficulties and lack of standardization. The new specialty, sleep medicine, created a huge demand for laboratory polysomnography. By the early 2000s, home sleep testing and treatment devices made inroads into clinical sleep practice. The economic consequence was shrinking demand for clinical laboratory polysomnography. Therefore, polysomnography must now find new directions, approaches, and purpose. Engineering challenges remain, and the "new" polysomnography needs to revisit some of the original questions about sleep, including what constitutes optimal sleep quantity, timing, and quality.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Home sleep testing; Polysomnography; Sleep evaluation; Sleep medicine; Sleep studies

Mesh:

Year:  2016        PMID: 28118865     DOI: 10.1016/j.jsmc.2016.07.002

Source DB:  PubMed          Journal:  Sleep Med Clin        ISSN: 1556-407X


  14 in total

1.  A New Wearable System for Home Sleep Apnea Testing, Screening, and Classification.

Authors:  Alessandro Manoni; Federico Loreti; Valeria Radicioni; Daniela Pellegrino; Luigi Della Torre; Alessandro Gumiero; Damian Halicki; Paolo Palange; Fernanda Irrera
Journal:  Sensors (Basel)       Date:  2020-12-08       Impact factor: 3.576

Review 2.  Clinician-Focused Overview and Developments in Polysomnography.

Authors:  Leslie C Markun; Ajay Sampat
Journal:  Curr Sleep Med Rep       Date:  2020-11-23

3.  The (mis)perception of sleep: factors influencing the discrepancy between self-reported and objective sleep parameters.

Authors:  Karin Trimmel; Hans Gerhard Eder; Marion Böck; Andrijana Stefanic-Kejik; Gerhard Klösch; Stefan Seidel
Journal:  J Clin Sleep Med       Date:  2021-05-01       Impact factor: 4.062

4.  A Comparison of Two Nights of Ambulatory Sleep Testing in Arrhythmia Patients.

Authors:  Asmaa M Abumuamar; Paul Dorian; David Newman; Colin M Shapiro
Journal:  Sleep Disord       Date:  2018-06-03

Review 5.  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

6.  Rice bran extract supplement improves sleep efficiency and sleep onset in adults with sleep disturbance: A randomized, double-blind, placebo-controlled, polysomnographic study.

Authors:  Min Young Um; Hyejin Yang; Jin Kyu Han; Jin Young Kim; Seung Wan Kang; Minseok Yoon; Sangoh Kwon; Suengmok Cho
Journal:  Sci Rep       Date:  2019-08-26       Impact factor: 4.379

7.  Pragmatic Validation of Home Portable Sleep Monitor for diagnosing Obstructive Sleep Apnea in a non-referred population: The ELSA-Brasil study.

Authors:  Aline N Aielo; Ronaldo B Santos; Wagner A Silva; Barbara K Parise; Silvana P Souza; Lorenna F Cunha; Soraya Giatti; Paulo A Lotufo; Isabela M Bensenor; Luciano F Drager
Journal:  Sleep Sci       Date:  2019 Apr-Jun

8.  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

Review 9.  Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies.

Authors:  Alessandro Zampogna; Alessandro Manoni; Francesco Asci; Claudio Liguori; Fernanda Irrera; Antonio Suppa
Journal:  Sensors (Basel)       Date:  2020-09-10       Impact factor: 3.576

10.  Sleep Characteristics According to Gender and Age Measured by Wrist Actigraphy.

Authors:  Katarína Kováčová; Katarína Stebelová
Journal:  Int J Environ Res Public Health       Date:  2021-12-15       Impact factor: 3.390

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