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Sleep and Breathing | DeepDyve

Sleep and Breathing

Subject:: Neurology (clinical)
Publisher:: Springer International Publishing — Springer Journals
ISSN:: 1520-9512
Scimago Journal Rank:: 70

2026

Volume 30

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2025

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2024

Volume OnlineFirst

October September

Volume 28

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2023

Volume 27

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2022

Volume 26

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2021

Volume 25

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2020

Volume 25

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Volume 24

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2019

Volume 24

Volume 23

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2018

Volume 23

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2017

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2016

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2015

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2014

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Volume 18

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2013

Volume 18

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Volume 17

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2012

Volume 18

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Volume 16

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2011

Volume 16

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Volume 15

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2010

Volume 16

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Volume 14

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2009

Volume 15

Volume 14

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Volume 13

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Volume 4

Volume 2

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2008

Volume 13

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Volume 12

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Volume 9

2007

Volume 12

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Volume 11

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2006

Volume 11

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Volume 10

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2005

Volume 9

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2004

Volume 8

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2003

Volume 7

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2002

Volume 6

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2001

Volume 5

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2000

Volume 4

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1999

Volume 3

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1997

Volume 2

journal article

LitStream Collection

Impact of continuous positive airway pressure on vascular endothelial growth factor in patients with obstructive sleep apnea: a meta-analysis

Qi, Jia-Chao; Zhang, LiangJi; Li, Hao; Zeng, Huixue; Ye, Yuming; Wang, Tiezhu; Wu, Qiyin; Chen, Lida; Xu, Qiaozhen; Zheng, Yifeng; Huang, Yaping; Lin, Li

2018 Sleep and Breathing

doi: 10.1007/s11325-018-1660-4pmid: 29671205

journal article

LitStream Collection

Monitoring healthy and disturbed sleep through smartphone applications: a review of experimental evidence

Fino, Edita; Mazzetti, Michela

2018 Sleep and Breathing

doi: 10.1007/s11325-018-1661-3pmid: 29687190

Smartphone applications are considered as the prime candidate for the purposes of large-scale, low-cost and long-term sleep monitoring. How reliable and scientifically grounded is smartphone-based assessment of healthy and disturbed sleep remains a key issue in this direction. Here we offer a review of validation studies of sleep applications to the aim of providing some guidance in terms of their reliability to assess sleep in healthy and clinical populations, and stimulating further examination of their potential for clinical use and improved sleep hygiene. Electronic literature review was conducted on Pubmed. Eleven validation studies published since 2012 were identified, evaluating smartphone applications’ performance compared to standard methods of sleep assessment in healthy and clinical samples. Studies with healthy populations show that most sleep applications meet or exceed accuracy levels of wrist-based actigraphy in sleep-wake cycle discrimination, whereas performance levels drop in individuals with low sleep efficiency (SE) and in clinical populations, mirroring actigraphy results. Poor correlation with polysomnography (PSG) sleep sub-stages is reported by most accelerometer-based apps. However, multiple parameter-based applications (i.e., EarlySense, SleepAp) showed good capability in detection of sleep-wake stages and sleep-related breathing disorders (SRBD) like obstructive sleep apnea (OSA) respectively with values similar to PSG. While the reviewed evidence suggests a potential role of smartphone sleep applications in pre-screening of SRBD, more experimental studies are warranted to assess their reliability in sleep-wake detection particularly. Apps’ utility in post treatment follow-up at home or as an adjunct to the sleep diary in clinical setting is also stressed.

journal article

LitStream Collection

Home sleep apnea testing: comparison of manual and automated scoring across international sleep centers

Magalang, Ulysses; Johns, Jennica; Wood, Katherine; Mindel, Jesse; Lim, Diane; Bittencourt, Lia; Chen, Ning-Hung; Cistulli, Peter; Gíslason, Thorarinn; Arnardottir, Erna; Penzel, Thomas; Tufik, Sergio; Pack, Allan

2018 Sleep And Breathing

journal article

LitStream Collection

Cough hypersensitivity in patients with obstructive sleep apnea hypopnea syndrome

Shi, Cuiqin; Liang, Siwei; Xu, Xianghuai; Chen, Qiang; Wang, Lan; Yu, Li; Lv, Hanjing; Qiu, Zhongmin

2018 Sleep and Breathing

doi: 10.1007/s11325-018-1641-7pmid: 29453637

journal article

LitStream Collection

Effects of CPAP therapy on cognitive and psychomotor performances in patients with severe obstructive sleep apnea: a prospective 1-year study

Pecotic, Renata; Dodig, Ivana; Valic, Maja; Galic, Tea; Kalcina, Linda; Ivkovic, Natalija; Dogas, Zoran

2018 Sleep and Breathing

doi: 10.1007/s11325-018-1642-6pmid: 29453638

journal article

LitStream Collection

The effect of temazepam on assessment of severity of obstructive sleep apnea by polysomnography

Walsh, Jennifer; Visser, Carolyn; Maddison, Kathleen; Bharat, Chrianna; Hillman, David; Eastwood, Peter

2018 Sleep and Breathing

doi: 10.1007/s11325-018-1653-3pmid: 29556920

journal article

LitStream Collection

Validation of the oxygen desaturation index in the diagnostic workup of obstructive sleep apnea

Fabius, Timon; Benistant, Jeffrey; Bekkedam, Lindsey; van der Palen, Job; de Jongh, Frans; Eijsvogel, Michiel

2018 Sleep And Breathing

doi: 10.1007/s11325-018-1654-2pmid: 29564732

journal article

LitStream Collection

The discriminative power of STOP-Bang as a screening tool for suspected obstructive sleep apnea in clinically referred patients: considering gender differences

Mou, Jin; Pflugeisen, Bethann; Crick, Brian; Amoroso, Paul; Harmon, Kirk; Tarnoczy, Stephen; Shirley Ho, S.; Mebust, Kimberly

2018 Sleep and Breathing

doi: 10.1007/s11325-018-1658-ypmid: 29691799

journal article

LitStream Collection

Effects of continuous positive airway pressure on cardiovascular biomarkers in patients with obstructive sleep apnea: a meta-analysis of randomized controlled trials

Ning, Yu; Zhang, Tian-Song; Wen, Wan-Wan; Li, Kun; Yang, Yun-Xiao; Qin, Yan-Wen; Zhang, Hui-Na; Du, Yun-Hui; Li, Lin-Yi; Yang, Song; Yang, Yun-Yun; Zhu, Miao-Miao; Jiao, Xiao-Lu; Zhang, Yan; Zhang, Ming; Wei, Yong-Xiang

journal article

LitStream Collection

Arousal index as a marker of carotid artery atherosclerosis in patients with obstructive sleep apnea syndrome

Suzuki, Mayumi; Shimamoto, Ken; Sekiguchi, Haruki; Harada, Takamitsu; Satoya, Natsumi; Inoue, Yuji; Yamaguchi, Kazuhiro; Kawana, Masatoshi

2018 Sleep and Breathing

doi: 10.1007/s11325-018-1664-0pmid: 29779142

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