Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Sleep and Big Data: harnessing data, technology, and analytics for monitoring sleep and improving diagnostics, prediction, and interventions-an era for Sleep-Omics?

Literature DB >> 33893509

Sleep and Big Data: harnessing data, technology, and analytics for monitoring sleep and improving diagnostics, prediction, and interventions-an era for Sleep-Omics?

Susan Redline¹, Shaun M Purcell².

Abstract

Entities: Chemical

Mesh：
Sleep
Technology

Year: 2021 PMID： 33893509 PMCID： PMC8521745 DOI： 10.1093/sleep/zsab107

Source DB: PubMed Journal: Sleep ISSN： 0161-8105 Impact factor: 6.313

× No keyword cloud information.

14 in total

1. Obstructive sleep apnea during REM sleep and hypertension. results of the Wisconsin Sleep Cohort.

Authors: Babak Mokhlesi; Laurel A Finn; Erika W Hagen; Terry Young; Khin Mae Hla; Eve Van Cauter; Paul E Peppard
Journal: Am J Respir Crit Care Med Date: 2014-11-15 Impact factor: 21.405

2. Automatic sleep stage classification with deep residual networks in a mixed-cohort setting.

Authors: Alexander Neergaard Olesen; Poul Jørgen Jennum; Emmanuel Mignot; Helge Bjarup Dissing Sorensen
Journal: Sleep Date: 2021-01-21 Impact factor: 5.849

3. Gender differences in nighttime sleep patterns and variability across the adult lifespan: a global-scale wearables study.

Authors: Sigga Svala Jonasdottir; Kelton Minor; Sune Lehmann
Journal: Sleep Date: 2021-02-12 Impact factor: 5.849

4. Sleep staging from electrocardiography and respiration with deep learning.

Authors: Haoqi Sun; Wolfgang Ganglberger; Ezhil Panneerselvam; Michael J Leone; Syed A Quadri; Balaji Goparaju; Ryan A Tesh; Oluwaseun Akeju; Robert J Thomas; M Brandon Westover
Journal: Sleep Date: 2020-07-13 Impact factor: 5.849

5. Lower socioeconomic status and co-morbid conditions are associated with reduced continuous positive airway pressure adherence among older adult medicare beneficiaries with obstructive sleep apnea.

Authors: Emerson M Wickwire; Sophia L Jobe; Liesl M Oldstone; Steven M Scharf; Abree M Johnson; Jennifer S Albrecht
Journal: Sleep Date: 2020-12-14 Impact factor: 5.849

6. Beyond K-complex binary scoring during sleep: probabilistic classification using deep learning.

Authors: Bastien Lechat; Kristy Hansen; Peter Catcheside; Branko Zajamsek
Journal: Sleep Date: 2020-10-13 Impact factor: 5.849

7. Artificial intelligence in sleep medicine: background and implications for clinicians.

Authors: Cathy A Goldstein; Richard B Berry; David T Kent; David A Kristo; Azizi A Seixas; Susan Redline; M Brandon Westover
Journal: J Clin Sleep Med Date: 2020-04-15 Impact factor: 4.062

8. Sleep problems, internalizing and externalizing symptoms, and domains of health-related quality of life: bidirectional associations from early childhood to early adolescence.

Authors: Ariel A Williamson; Nardia Zendarski; Katherine Lange; Jon Quach; Carly Molloy; Susan A Clifford; Melissa Mulraney
Journal: Sleep Date: 2021-01-21 Impact factor: 5.849

Sleep and Big Data: harnessing data, technology, and analytics for monitoring sleep and improving diagnostics, prediction, and interventions-an era for Sleep-Omics?

1. Obstructive sleep apnea during REM sleep and hypertension. results of the Wisconsin Sleep Cohort.

2. Automatic sleep stage classification with deep residual networks in a mixed-cohort setting.

3. Gender differences in nighttime sleep patterns and variability across the adult lifespan: a global-scale wearables study.

4. Sleep staging from electrocardiography and respiration with deep learning.

5. Lower socioeconomic status and co-morbid conditions are associated with reduced continuous positive airway pressure adherence among older adult medicare beneficiaries with obstructive sleep apnea.

6. Beyond K-complex binary scoring during sleep: probabilistic classification using deep learning.

7. Artificial intelligence in sleep medicine: background and implications for clinicians.

8. Sleep problems, internalizing and externalizing symptoms, and domains of health-related quality of life: bidirectional associations from early childhood to early adolescence.

9. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea.

10. A scalable method of determining physiological endotypes of sleep apnea from a polysomnographic sleep study.

Review 1. Individual differences and diversity in human physiological responses to light.

Review 2. Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.