Gotowa bibliografia na temat „Sleep measurement tools”
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Artykuły w czasopismach na temat "Sleep measurement tools":
Phillips, Sophie M., Carolyn Summerbell, Kathryn R. Hesketh, Sonia Saxena i Frances C. Hillier-Brown. "Parental Views on the Acceptability and Feasibility of Measurement Tools Used to Assess Movement Behaviour of Pre-School Children: A Qualitative Study". International Journal of Environmental Research and Public Health 19, nr 6 (21.03.2022): 3733. http://dx.doi.org/10.3390/ijerph19063733.
Jeffs, Emma L., i Julie L. Darbyshire. "Measuring Sleep in the Intensive Care Unit: A Critical Appraisal of the Use of Subjective Methods". Journal of Intensive Care Medicine 34, nr 9 (20.06.2017): 751–60. http://dx.doi.org/10.1177/0885066617712197.
Ellender, Claire M., Syeda Farah Zahir, Hailey Meaklim, Rosemarie Joyce, David Cunnington i John Swieca. "Prospective cohort study to evaluate the accuracy of sleep measurement by consumer-grade smart devices compared with polysomnography in a sleep disorders population". BMJ Open 11, nr 11 (listopad 2021): e044015. http://dx.doi.org/10.1136/bmjopen-2020-044015.
Mills, RJ, A. Tennant i CA Young. "The Neurological Sleep Index: A suite of new sleep scales for multiple sclerosis". Multiple Sclerosis Journal - Experimental, Translational and Clinical 2 (1.01.2016): 205521731664226. http://dx.doi.org/10.1177/2055217316642263.
Crowcroft, Stephen, Erin McCleave, Katie Slattery i Aaron J. Coutts. "Assessing the Measurement Sensitivity and Diagnostic Characteristics of Athlete-Monitoring Tools in National Swimmers". International Journal of Sports Physiology and Performance 12, s2 (kwiecień 2017): S2–95—S2–100. http://dx.doi.org/10.1123/ijspp.2016-0406.
Wiggin, Timothy D., Patricia R. Goodwin, Nathan C. Donelson, Chang Liu, Kien Trinh, Subhabrata Sanyal i Leslie C. Griffith. "Covert sleep-related biological processes are revealed by probabilistic analysis in Drosophila". Proceedings of the National Academy of Sciences 117, nr 18 (17.04.2020): 10024–34. http://dx.doi.org/10.1073/pnas.1917573117.
Wisana, I. Dewa Gede Hari, Priyambada Cahya Nugraha i Dwiana Estiwidani. "The Effectiveness Obstructive Sleep Apnea Monitoring Using Telemedicine Smartphone System (TmSS)". Journal of Biomimetics, Biomaterials and Biomedical Engineering 50 (kwiecień 2021): 113–21. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.50.113.
Ryan, Samuel, Emidio Pacecca, Jye Tebble, Joel Hocking, Thomas Kempton i Aaron J. Coutts. "Measurement Characteristics of Athlete Monitoring Tools in Professional Australian Football". International Journal of Sports Physiology and Performance 15, nr 4 (1.04.2020): 457–63. http://dx.doi.org/10.1123/ijspp.2019-0060.
Min, Yaena, i Patricia W. Slattum. "Poor Sleep and Risk of Falls in Community-Dwelling Older Adults: A Systematic Review". Journal of Applied Gerontology 37, nr 9 (20.12.2016): 1059–84. http://dx.doi.org/10.1177/0733464816681149.
Chung, Joon, Matthew Goodman, Tianyi Huang, Suzanne Bertisch i Susan Redline. "Multidimensional Sleep Health: Concepts, Advances, and Implications for Research and Intervention". Innovation in Aging 5, Supplement_1 (1.12.2021): 337. http://dx.doi.org/10.1093/geroni/igab046.1306.
Części książek na temat "Sleep measurement tools":
Redline, Susan, Brian Redline i Peter James. "Sleep Epidemiology". W The Social Epidemiology of Sleep, 11–46. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190930448.003.0002.
Streszczenia konferencji na temat "Sleep measurement tools":
Pellegrin, Guilherme Rufino Marques, Arthur Neves Egídio, Alexandre Jahara Moreira Gomes Teixeira, Carolina Mendonça Cyranka, Diogo Abrantes de Oliveira, Enzo Tibiriçá de Rezende, Larissa Rodrigues Sotto Maior, Nathália Vieira Caires, Vanessa Teixeira Miquelito i Leandro Souza Cruz. "The Efficacy of Deep Brain Stimulation in Parkinson’s Disease Treatment: A Systematic Review". W XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.128.
Raporty organizacyjne na temat "Sleep measurement tools":
Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel i Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), marzec 2021. http://dx.doi.org/10.23970/ahrqepctb38.