Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16273, first published .
Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis

Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis

Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis

Journals

  1. Haghayegh S, Khoshnevis S, Smolensky M, Diller K, Castriotta R. Performance comparison of different interpretative algorithms utilized to derive sleep parameters from wrist actigraphy data. Chronobiology International 2019;36(12):1752 View
  2. Liao Y, Robertson M, Winne A, Wu I, Le T, Balachandran D, Basen-Engquist K. Investigating the within-person relationships between activity levels and sleep duration using Fitbit data. Translational Behavioral Medicine 2021;11(2):619 View
  3. Allman‐Farinelli M, Chen J, Chevance G, Partridge S, Gemming L, Patrick K, Godino J. The efficacy of electronic health interventions targeting improved sleep for achieving prevention of weight gain in adolescents and young to middle‐aged adults: A systematic review. Obesity Reviews 2020;21(6) View
  4. Smolensky M, Haghayegh S, Khoshnevis S, Diller K. Does before-bedtime body warming by bathing or other means attenuate sleep-time arterial blood pressure?. Chronobiology International 2020;37(1):146 View
  5. Rensen N, Steur L, Wijnen N, van Someren E, Kaspers G, van Litsenburg R. Actigraphic estimates of sleep and the sleep-wake rhythm, and 6-sulfatoxymelatonin levels in healthy Dutch children. Chronobiology International 2020;37(5):660 View
  6. Chong K, Guo J, Deng X, Woo B. Consumer Perceptions of Wearable Technology Devices: Retrospective Review and Analysis. JMIR mHealth and uHealth 2020;8(4):e17544 View
  7. Haghayegh S, Khoshnevis S, Smolensky M, Diller K. Application of deep learning to improve sleep scoring of wrist actigraphy. Sleep Medicine 2020;74:235 View
  8. Lee S, Kang J. Effect of virtual reality meditation on sleep quality of intensive care unit patients: A randomised controlled trial. Intensive and Critical Care Nursing 2020;59:102849 View
  9. Haghayegh S, Khoshnevis S, Smolensky M, Diller K, Castriotta R. Performance assessment of new-generation Fitbit technology in deriving sleep parameters and stages. Chronobiology International 2020;37(1):47 View
  10. Li X, Zhang Y, Jiang F, Zhao H. A novel machine learning unsupervised algorithm for sleep/wake identification using actigraphy. Chronobiology International 2020;37(7):1002 View
  11. Asgari Mehrabadi M, Azimi I, Sarhaddi F, Axelin A, Niela-Vilén H, Myllyntausta S, Stenholm S, Dutt N, Liljeberg P, Rahmani A. Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study. JMIR mHealth and uHealth 2020;8(10):e20465 View
  12. Ong J, Lau T, Massar S, Chong Z, Ng B, Koek D, Zhao W, Yeo B, Cheong K, Chee M. COVID-19-related mobility reduction: heterogenous effects on sleep and physical activity rhythms. Sleep 2021;44(2) View
  13. Armstrong B, Beets M, Starrett A, Brazendale K, Turner-McGrievy G, Saelens B, Pate R, Youngstedt S, Maydeu-Olivares A, Weaver R. Dynamics of sleep, sedentary behavior, and moderate-to-vigorous physical activity on school versus nonschool days. Sleep 2021;44(2) View
  14. Hafiz P, Miskowiak K, Maxhuni A, Kessing L, Bardram J. Wearable Computing Technology for Assessment of Cognitive Functioning of Bipolar Patients and Healthy Controls. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(4):1 View
  15. Haghayegh S, Khoshnevis S, Smolensky M, Diller K, Castriotta R. Deep Neural Network Sleep Scoring Using Combined Motion and Heart Rate Variability Data. Sensors 2020;21(1):25 View
  16. Zhang Y, Folarin A, Sun S, Cummins N, Bendayan R, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, White K, Lamers F, Siddi S, Simblett S, Myin-Germeys I, Rintala A, Wykes T, Haro J, Penninx B, Narayan V, Hotopf M, Dobson R. Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(4):e24604 View
  17. Stone J, Rentz L, Forsey J, Ramadan J, Markwald R, Finomore V, Galster S, Rezai A, Hagen J. <p>Evaluations of Commercial Sleep Technologies for Objective Monitoring During Routine Sleeping Conditions</p>. Nature and Science of Sleep 2020;Volume 12:821 View
  18. Carlin T, Vuillerme N. Step and Distance Measurement From a Low-Cost Consumer-Based Hip and Wrist Activity Monitor: Protocol for a Validity and Reliability Assessment. JMIR Research Protocols 2021;10(1):e21262 View
  19. Fowler S, Walker S, Jones T, Gell L. Sleep in Aneurysmal Subarachnoid Hemorrhage Patients During Critical and Acute Care. Dimensions of Critical Care Nursing 2021;40(2):118 View
  20. Guarnieri B, Maestri M, Cucchiara F, Lo Gerfo A, Schirru A, Arnaldi D, Mattioli P, Nobili F, Lombardi G, Cerroni G, Bartoli A, Manni R, Sinforiani E, Terzaghi M, Arena M, Silvestri R, La Morgia C, Di Perri M, Franzoni F, Tognoni G, Mancuso M, Sorbi S, Bonuccelli U, Siciliano G, Faraguna U, Bonanni E. Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer’s Disease Reveals Sex Differences. Journal of Alzheimer's Disease 2020;78(4):1707 View
  21. Burkart S, Beets M, Armstrong B, Hunt E, Dugger R, von Klinggraeff L, Jones A, Brown D, Weaver R. Comparison of multichannel and single-channel wrist-based devices with polysomnography to measure sleep in children and adolescents. Journal of Clinical Sleep Medicine 2021;17(4):645 View
  22. Kuula L, Pesonen A. Heart Rate Variability and Firstbeat Method for Detecting Sleep Stages in Healthy Young Adults: Feasibility Study. JMIR mHealth and uHealth 2021;9(2):e24704 View
  23. Chinoy E, Cuellar J, Huwa K, Jameson J, Watson C, Bessman S, Hirsch D, Cooper A, Drummond S, Markwald R. Performance of seven consumer sleep-tracking devices compared with polysomnography. Sleep 2021;44(5) View
  24. Regalia G, Gerboni G, Migliorini M, Lai M, Pham J, Puri N, Pavlova M, Picard R, Sarkis R, Onorati F. Sleep assessment by means of a wrist actigraphy-based algorithm: agreement with polysomnography in an ambulatory study on older adults. Chronobiology International 2021;38(3):400 View
  25. Scott H, Lovato N, Lack L. The Development and Accuracy of the THIM Wearable Device for Estimating Sleep and Wakefulness. Nature and Science of Sleep 2021;Volume 13:39 View
  26. Mishra T, Wang M, Metwally A, Bogu G, Brooks A, Bahmani A, Alavi A, Celli A, Higgs E, Dagan-Rosenfeld O, Fay B, Kirkpatrick S, Kellogg R, Gibson M, Wang T, Hunting E, Mamic P, Ganz A, Rolnik B, Li X, Snyder M. Pre-symptomatic detection of COVID-19 from smartwatch data. Nature Biomedical Engineering 2020;4(12):1208 View
  27. Połap D, Srivastava G, Yu K. Agent architecture of an intelligent medical system based on federated learning and blockchain technology. Journal of Information Security and Applications 2021;58:102748 View
  28. Kohli M, Moore D, Moore R. Using health technology to capture digital phenotyping data in HIV-associated neurocognitive disorders. AIDS 2021;35(1):15 View
  29. Menghini L, Cellini N, Goldstone A, Baker F, de Zambotti M. A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code. Sleep 2021;44(2) View
  30. McVeigh J, Ellis J, Ross C, Tang K, Wan P, Halse R, Dhaliwal S, Kerr D, Straker L. Convergent Validity of the Fitbit Charge 2 to Measure Sedentary Behavior and Physical Activity in Overweight and Obese Adults. Journal for the Measurement of Physical Behaviour 2021;4(1):39 View
  31. Biondi A, Laiou P, Bruno E, Viana P, Schreuder M, Hart W, Nurse E, Pal D, Richardson M. Remote and Long-Term Self-Monitoring of Electroencephalographic and Noninvasive Measurable Variables at Home in Patients With Epilepsy (EEG@HOME): Protocol for an Observational Study. JMIR Research Protocols 2021;10(3):e25309 View
  32. Chee N, Ghorbani S, Golkashani H, Leong R, Ong J, Chee M. Multi-Night Validation of a Sleep Tracking Ring in Adolescents Compared with a Research Actigraph and Polysomnography. Nature and Science of Sleep 2021;Volume 13:177 View
  33. Menghini L, Yuksel D, Goldstone A, Baker F, de Zambotti M. Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls. Chronobiology International 2021;38(7):1010 View
  34. de Goederen R, Pu S, Silos Viu M, Doan D, Overeem S, Serdijn W, Joosten K, Long X, Dudink J. Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study. Sleep Medicine 2021;82:1 View
  35. Sutton E. Insomnia. Annals of Internal Medicine 2021;174(3):ITC33 View
  36. Tubbs A, Kennedy K, Alfonso-Miller P, Wills C, Grandner M. A Randomized, Double-Blind, Placebo-Controlled Trial of a Polyphenol Botanical Blend on Sleep and Daytime Functioning. International Journal of Environmental Research and Public Health 2021;18(6):3044 View
  37. Imtiaz S. A Systematic Review of Sensing Technologies for Wearable Sleep Staging. Sensors 2021;21(5):1562 View
  38. Thymi M, Lobbezoo F, Aarab G, Ahlberg J, Baba K, Carra M, Gallo L, De Laat A, Manfredini D, Lavigne G, Svensson P. Signal acquisition and analysis of ambulatory electromyographic recordings for the assessment of sleep bruxism: A scoping review. Journal of Oral Rehabilitation 2021;48(7):846 View
  39. Liao C, Delghust M, Wargocki P, Laverge J. Effects of window opening on the bedroom environment and resulting sleep quality. Science and Technology for the Built Environment 2021;27(7):995 View
  40. Zhang Z, Qi M, Hügli G, Khatami R. The Challenges and Pitfalls of Detecting Sleep Hypopnea Using a Wearable Optical Sensor: Comparative Study. Journal of Medical Internet Research 2021;23(7):e24171 View
  41. Altini M, Kinnunen H. The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring. Sensors 2021;21(13):4302 View
  42. Reece J, Bunn J, Choi M, Navalta J. Assessing Heart Rate Using Consumer Technology Association Standards. Technologies 2021;9(3):46 View
  43. Stirling R, Grayden D, D'Souza W, Cook M, Nurse E, Freestone D, Payne D, Brinkmann B, Pal Attia T, Viana P, Richardson M, Karoly P. Forecasting Seizure Likelihood With Wearable Technology. Frontiers in Neurology 2021;12 View
  44. Rentz L, Ulman H, Galster S. Deconstructing Commercial Wearable Technology: Contributions toward Accurate and Free-Living Monitoring of Sleep. Sensors 2021;21(15):5071 View
  45. Falck R, Davis J, Khan K, Handy T, Liu-Ambrose T. A Wrinkle in Measuring Time Use for Cognitive Health: How should We Measure Physical Activity, Sedentary Behaviour and Sleep?. American Journal of Lifestyle Medicine 2023;17(2):258 View
  46. Svetnik V, Wang T, Ceesay P, Snyder E, Ceren O, Bliwise D, Budd K, Hutzelmann J, Stevens J, Lines C, Michelson D, Herring W. Pilot evaluation of a consumer wearable device to assess sleep in a clinical polysomnography trial of suvorexant for treating insomnia in patients with Alzheimer's disease. Journal of Sleep Research 2021;30(6) View
  47. Greysen S, Waddell K, Patel M. Exploring Wearables to Focus on the “Sweet Spot” of Physical Activity and Sleep After Hospitalization: Secondary Analysis. JMIR mHealth and uHealth 2022;10(4):e30089 View
  48. Lopresti A, Smith S, Metse A, Drummond P. A randomized, double-blind, placebo-controlled trial investigating the effects of an Ocimum tenuiflorum (Holy Basil) extract (HolixerTM) on stress, mood, and sleep in adults experiencing stress. Frontiers in Nutrition 2022;9 View
  49. Liao C, Fan X, Bivolarova M, Laverge J, Sekhar C, Akimoto M, Mainka A, Lan L, Wargocki P. A cross-sectional field study of bedroom ventilation and sleep quality in Denmark during the heating season. Building and Environment 2022;224:109557 View
  50. Bensen-Boakes D, Murali T, Lovato N, Lack L, Scott H. Wearable Device-Delivered Intensive Sleep Retraining as an Adjunctive Treatment to Kickstart Cognitive-Behavioral Therapy for Insomnia. Sleep Medicine Clinics 2023;18(1):49 View
  51. Pfammatter A, Hughes B, Tucker B, Whitmore H, Spring B, Tasali E. The Development of a Novel mHealth Tool for Obstructive Sleep Apnea: Tracking Continuous Positive Airway Pressure Adherence as a Percentage of Time in Bed. Journal of Medical Internet Research 2022;24(12):e39489 View
  52. Metlaine A, Sauvet F, Chennaoui M, Leger D, Elbaz M. Sleep and COVID-19. A Case Report of a Mild COVID-19 Patient Monitored by Consumer-Targeted Sleep Wearables. Sensors 2021;21(23):7944 View
  53. Pandrangi V, Jorizzo M, Shah S, Bruening J, Wax M, Clayburgh D, Andersen P, Li R. Monitoring postoperative ambulation and sleep after head and neck surgery: Feasibility and utility study using wearable devices. Head & Neck 2022;44(12):2744 View
  54. Mattingly S, Martinez G, Young J, Cain M, Striegel A. Snoozing: an examination of a common method of waking. Sleep 2022;45(10) View
  55. Rahman M, Nowakowski S, Agrawal R, Naik A, Sharafkhaneh A, Razjouyan J. Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports. Healthcare 2022;10(10):1837 View
  56. Hoevenaars D, Holla J, de Groot S, Weijs P, Kraaij W, Janssen T. Lifestyle and health changes in wheelchair users with a chronic disability after 12 weeks of using the WHEELS mHealth application. Disability and Rehabilitation: Assistive Technology 2024;19(3):648 View
  57. Hehr A, Huntley E, Marusak H. Getting a Good Night's Sleep: Associations Between Sleep Duration and Parent-Reported Sleep Quality on Default Mode Network Connectivity in Youth. Journal of Adolescent Health 2023;72(6):933 View
  58. Giddens N, Juneau P, Manza P, Wiers C, Volkow N. Disparities in sleep duration among American children: effects of race and ethnicity, income, age, and sex. Proceedings of the National Academy of Sciences 2022;119(30) View
  59. Patel V, Orchanian-Cheff A, Wu R. Evaluating the Validity and Utility of Wearable Technology for Continuously Monitoring Patients in a Hospital Setting: Systematic Review. JMIR mHealth and uHealth 2021;9(8):e17411 View
  60. Lai M, Mong M, Cheng L, Lau Y. The effect of wearable‐delivered sleep interventions on sleep outcomes among adults: A systematic review and meta‐analysis of randomized controlled trials. Nursing & Health Sciences 2023;25(1):44 View
  61. Adamo K, Semeniuk K, da Silva D, Souza S, Baillargeon J, Redman L, Piccinini-Vallis H, Shen G, Nerenberg K. SmartMoms Canada: An evaluation of a mobile app intervention to support a healthy pregnancy. Contemporary Clinical Trials 2023;126:107066 View
  62. Menghini L, Yuksel D, Prouty D, Baker F, King C, de Zambotti M. Wearable and mobile technology to characterize daily patterns of sleep, stress, presleep worry, and mood in adolescent insomnia. Sleep Health 2023;9(1):108 View
  63. Haghayegh S, Hu K, Stone K, Redline S, Schernhammer E. Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study. Journal of Medical Internet Research 2023;25:e40211 View
  64. Wang J, Zhao X, Huang J, Cao X, Pan S, Jin H, Tang M. A Comparative Study on the Suitability and Treatment Compliance of an Improved Wristband Wearing Method Compared with the Traditional Method. Computational and Mathematical Methods in Medicine 2022;2022:1 View
  65. Huang L, Zhou J, Li H, Wang Y, Wu X, Wu J. Sleep behaviour and cardiorespiratory fitness in patients after percutaneous coronary intervention during cardiac rehabilitation: protocol for a longitudinal study. BMJ Open 2022;12(6):e057117 View
  66. Griffiths C, da Silva K, Leathlean C, Jiang H, Ang C, Searle R. Investigation of physical activity, sleep, and mental health recovery in treatment resistant depression (TRD) patients receiving repetitive transcranial magnetic stimulation (rTMS) treatment. Journal of Affective Disorders Reports 2022;8:100337 View
  67. Dong X, Yang S, Guo Y, Lv P, Wang M, Li Y, Veauthier C. Validation of Fitbit Charge 4 for assessing sleep in Chinese patients with chronic insomnia: A comparison against polysomnography and actigraphy. PLOS ONE 2022;17(10):e0275287 View
  68. Lim J, Yun J, Choi S, Park S, Suk H, Jang J. Greater variability in daily sleep efficiency predicts depression and anxiety in young adults: Estimation of depression severity using the two-week sleep quality records of wearable devices. Frontiers in Psychiatry 2022;13 View
  69. Stalder T, Lupien S, Kudielka B, Adam E, Pruessner J, Wüst S, Dockray S, Smyth N, Evans P, Kirschbaum C, Miller R, Wetherell M, Finke J, Klucken T, Clow A. Evaluation and update of the expert consensus guidelines for the assessment of the cortisol awakening response (CAR). Psychoneuroendocrinology 2022;146:105946 View
  70. Leung W, Case L, Sung M, Jung J. A meta-analysis of Fitbit devices: same company, different models, different validity evidence. Journal of Medical Engineering & Technology 2022;46(2):102 View
  71. Sahu K, Majowicz S, Dubin J, Morita P. NextGen Public Health Surveillance and the Internet of Things (IoT). Frontiers in Public Health 2021;9 View
  72. Lau T, Ong J, Ng B, Chan L, Koek D, Tan C, Müller-Riemenschneider F, Cheong K, Massar S, Chee M. Minimum number of nights for reliable estimation of habitual sleep using a consumer sleep tracker. SLEEP Advances 2022;3(1) View
  73. Mughal F, Raffe W, Stubbs P, Kneebone I, Garcia J. Fitbits for Monitoring Depressive Symptoms in Older Aged Persons: Qualitative Feasibility Study. JMIR Formative Research 2022;6(11):e33952 View
  74. Zhang T, Du X, Gu Y, Dong Y, Zhang W, Yuan Z, Huang X, Zou C, Zhou Y, Liu Z, Tao H, Yang L, Wu G, Hogenesch J, Zhou C, Zhou F, Xu Y. Analysis of Diurnal Variations in Heart Rate: Potential Applications for Chronobiology and Cardiovascular Medicine. Frontiers in Physiology 2022;13 View
  75. McNicholas W, Pevernagie D. Obstructive sleep apnea: transition from pathophysiology to an integrative disease model. Journal of Sleep Research 2022;31(4) View
  76. Verloigne M, Van Oeckel V, Brondeel R, Poppe L. Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents. BMC Public Health 2021;21(1) View
  77. Nishida M, Yamamoto K, Murata Y, Ichinose A, Shioda K. Exploring the Effect of Long Naps on Handball Performance and Heart Rate Variability. Sports Medicine International Open 2021;5(03):E73 View
  78. Kuosmanen E, Visuri A, Kheirinejad S, van Berkel N, Koskimäki H, Ferreira D, Hosio S. How Does Sleep Tracking Influence Your Life?. Proceedings of the ACM on Human-Computer Interaction 2022;6(MHCI):1 View
  79. Kim B, Park H. The effects of auricular acupressure on blood pressure, stress, and sleep in elders with essential hypertension: a randomized single-blind sham-controlled trial. European Journal of Cardiovascular Nursing 2023;22(6):610 View
  80. Leopold J, Antman E. Ideal Cardiovascular Health in Young Adults With Established Cardiovascular Diseases. Frontiers in Cardiovascular Medicine 2022;9 View
  81. Rykov Y, Thach T, Bojic I, Christopoulos G, Car J. Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling. JMIR mHealth and uHealth 2021;9(10):e24872 View
  82. Alugubelli N, Abuissa H, Roka A. Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability—What We Know and What Is Coming. Sensors 2022;22(22):8903 View
  83. LeBlanc R, Czarnecki P, Howard J, Jacelon C, Marquard J. Usability Experience of a Personal Sleep Monitoring Device to Self-manage Sleep Among Persons 65 Years or Older With Self-reported Sleep Disturbances. CIN: Computers, Informatics, Nursing 2022;40(9):598 View
  84. Dai R, Kannampallil T, Zhang J, Lv N, Ma J, Lu C. Multi-Task Learning for Randomized Controlled Trials. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(2):1 View
  85. Durrani S, Cao S, Bo N, Pai J, Baker J, Rawlings L, Qureshi Z, Sigua N, Manchanda S, Khan B. A Feasibility Study: Testing Whether a Sleep Application Providing Objective Sleep Data to Physicians Improves Patient–Physician Communication Regarding Sleep Experiences, Habits, and Behaviors. Advances in Therapy 2022;39(4):1612 View
  86. Gibian J, Bartosiak K, Lucey B, Riegler V, King J, Barrack R. Sleep Disturbances Following Total Knee Arthroplasty. The Journal of Arthroplasty 2023;38(6):S120 View
  87. Shim S, Lee S, Lee J, Seo Y, Lee H. A Study on the Relationship Between Mental Health Variables and Physical Activity Variables in the Clinical Group of North Korean Defectors: A Pilot Study. Journal of Korean Neuropsychiatric Association 2021;60(3):204 View
  88. Fritz H, Kinney K, Wu C, Schnyer D, Nagy Z. Data fusion of mobile and environmental sensing devices to understand the effect of the indoor environment on measured and self-reported sleep quality. Building and Environment 2022;214:108835 View
  89. Cucato G, Snowden C, McCone E, Nesbitt C, Nandhra S, Fong M, Kane E, Rowland M, Bhattarai N, Court P, Bell O, Saxton J, Prentis J, Fukumoto Y. Evaluating the feasibility and acceptability of an exercise and behaviour change intervention in socioeconomically deprived patients with peripheral arterial disease: The textpad study protocol. PLOS ONE 2022;17(6):e0269999 View
  90. Porosnicu Rodriguez K, Salas R, Schneider L. Insomnia. Neurologic Clinics 2023;41(1):1 View
  91. Schmidt L, Steenbock L, Sieverding M. Improving Sleep Among Teachers: an Implementation-Intention Intervention. International Journal of Behavioral Medicine 2023;30(1):49 View
  92. Mac Cárthaigh S, Perry J, Griffin C. Do objective data support the claim that problematic smartphone use has a clinically meaningful impact upon adolescent sleep duration?. Behaviour & Information Technology 2023;42(15):2626 View
  93. Saito T, Suzuki H, Kishi A. Predictive Modeling of Mental Illness Onset Using Wearable Devices and Medical Examination Data: Machine Learning Approach. Frontiers in Digital Health 2022;4 View
  94. Whitmore N, Harris J, Kovach T, Paller K. Improving memory via automated targeted memory reactivation during sleep. Journal of Sleep Research 2022;31(6) View
  95. Haq A, Ribbans W, Hohenauer E, Baross A. The Comparative Effect of Different Timings of Whole Body Cryotherapy Treatment With Cold Water Immersion for Post-Exercise Recovery. Frontiers in Sports and Active Living 2022;4 View
  96. Pires G, Arnardóttir E, Islind A, Leppänen T, McNicholas W. Consumer sleep technology for the screening of obstructive sleep apnea and snoring: current status and a protocol for a systematic review and meta‐analysis of diagnostic test accuracy. Journal of Sleep Research 2023;32(4) View
  97. Hsieh T, Liu M, Kuo C, Wang Y, Liang S. Home-Use and Real-Time Sleep-Staging System Based on Eye Masks and Mobile Devices with a Deep Learning Model. Journal of Medical and Biological Engineering 2021 View
  98. Greco M, Angelucci A, Avidano G, Marelli G, Canali S, Aceto R, Lubian M, Oliva P, Piccioni F, Aliverti A, Cecconi M. Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study. Diagnostics 2023;13(4):630 View
  99. Ghorbani S, Golkashani H, Chee N, Teo T, Dicom A, Yilmaz G, Leong R, Ong J, Chee M. Multi-Night at-Home Evaluation of Improved Sleep Detection and Classification with a Memory-Enhanced Consumer Sleep Tracker. Nature and Science of Sleep 2022;Volume 14:645 View
  100. Park P, Kim J. A Classifying Model of Obstructive Sleep Apnea Based on Heart Rate Variability in a Large Korean Population. Journal of Korean Medical Science 2023;38(7) View
  101. Neely L, Smulligan K, Wingerson M, Seehusen C, Simon S, Wilson J, Howell D. The association between sleep and physical activity with persisting postconcussion symptoms among adolescent athletes. PM&R 2023;15(9):1122 View
  102. Kuosmanen E, Visuri A, Risto R, Hosio S. Comparing consumer grade sleep trackers for research purposes: A field study. Frontiers in Computer Science 2022;4 View
  103. Liao Y, Robertson M, O’Connor S, Naya C, Balachandran D, Dunton G. Exploring the Effects of Perceived Stress on the Within-Person Relationships Between Daily Activity Levels and Sleep in Women: An Ecological Momentary Assessment Study. International Journal of Behavioral Medicine 2023;30(4):578 View
  104. Milando C, Black-Ingersoll F, Heidari L, López-Hernández I, de Lange J, Negassa A, McIntyre A, Martinez M, Bongiovanni R, Levy J, Kinney P, Scammell M, Fabian M. Mixed methods assessment of personal heat exposure, sleep, physical activity, and heat adaptation strategies among urban residents in the Boston area, MA. BMC Public Health 2022;22(1) View
  105. Stavropoulos T, Meditskos G, Lazarou I, Mpaltadoros L, Papagiannopoulos S, Tsolaki M, Kompatsiaris I. Detection of Health-Related Events and Behaviours from Wearable Sensor Lifestyle Data Using Symbolic Intelligence: A Proof-of-Concept Application in the Care of Multiple Sclerosis. Sensors 2021;21(18):6230 View
  106. King A, Shuboni-Mulligan D, Vera E, Crandon S, Acquaye A, Boris L, Burton E, Choi A, Christ A, Grajkowska E, Jammula V, Leeper H, Lollo N, Penas-Prado M, Reyes J, Theeler B, Wall K, Wu J, Gilbert M, Armstrong T. Exploring the prevalence and burden of sleep disturbance in primary brain tumor patients. Neuro-Oncology Practice 2022;9(6):526 View
  107. Leopold J, Antman E. Digital health device measured sleep duration and ideal cardiovascular health: an observational study. BMC Cardiovascular Disorders 2021;21(1) View
  108. Ni C, Hou G, Tang Y, Wang J, Chen W, Yang Y, Wang Z, Zhou W. Quantitative study of the effects of early standardized ambulation on sleep quality in patients after hepatectomy. Frontiers in Surgery 2022;9 View
  109. Kim H, Kim D, Oh J. Automation of classification of sleep stages and estimation of sleep efficiency using actigraphy. Frontiers in Public Health 2023;10 View
  110. Botella-Serrano M, Velasco J, Sánchez-Sánchez A, Garnica O, Hidalgo J. Evaluating the influence of sleep quality and quantity on glycemic control in adults with type 1 diabetes. Frontiers in Endocrinology 2023;14 View
  111. Ismail S, Nayan N, Mohammad Haniff M, Jaafar R, May Z. Wearable Two-Dimensional Nanomaterial-Based Flexible Sensors for Blood Pressure Monitoring: A Review. Nanomaterials 2023;13(5):852 View
  112. Cucchiaro G, Ahumada L, Gray G, Fierstein J, Yates H, Householder K, Frye W, Rehman M. Feasibility of Conducting Long-term Health and Behaviors Follow-up in Adolescents: Longitudinal Observational Study. JMIR Formative Research 2022;6(8):e37054 View
  113. Griffiths C, Walker K, Willis A, Pollard L. Treatment resistant depression (TRD) service outpatient’s experience of sleep, activity, and using a Fitbit wearable activity and sleep tracker. Mental Health Review Journal 2022;27(2):158 View
  114. Takamino A, Kotoda M, Nakadate Y, Hishiyama S, Iijima T, Matsukawa T. Short Sleep Duration on the Night Before Surgery Is Associated With Postoperative Cognitive Decline in Elderly Patients: A Prospective Cohort Study. Frontiers in Aging Neuroscience 2022;13 View
  115. Radha M, Fonseca P, Moreau A, Ross M, Cerny A, Anderer P, Long X, Aarts R. A deep transfer learning approach for wearable sleep stage classification with photoplethysmography. npj Digital Medicine 2021;4(1) View
  116. Katrine W, Ritzel S, Caroline K, Marie L, Olsgaard B, Lasse S. Potentials and barriers of using digital tools for collecting daily measurements in multiple sclerosis research. DIGITAL HEALTH 2021;7:205520762110555 View
  117. Chinoy E, Cuellar J, Jameson J, Markwald R. Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults. Nature and Science of Sleep 2022;Volume 14:493 View
  118. Ried K, Tamanna T, Matthews S, Sali A. Medicinal cannabis improves sleep in adults with insomnia: a randomised double‐blind placebo‐controlled crossover study. Journal of Sleep Research 2023;32(3) View
  119. Dreyer R, Berkowitz A, Yaggi H, Schneeberg L, Shah N, Emanuel L, Kolla B, Jeffery M, Deeg M, Ervin K, Thorndike F, Ross J. PreScription DigitaL ThErapEutic for Patients with Insomnia (SLEEP-I): a protocol for a pragmatic randomised controlled trial. BMJ Open 2022;12(8):e062041 View
  120. LAXMINARAYAN S, HORNBY S, BELVAL L, GIERSCH G, MORRISSEY M, CASA D, REIFMAN J. Prospective Validation of 2B-Cool: Integrating Wearables and Individualized Predictive Analytics to Reduce Heat Injuries. Medicine & Science in Sports & Exercise 2023;55(4):751 View
  121. Schmidt L, Neubauer A, Stoffel M, Ditzen B, Schirmaier J, Farrenkopf C, Sieverding M. Effects of mental contrasting on sleep and associations with stress: A randomized controlled trial. Journal of Health Psychology 2023;28(11):1057 View
  122. Chen Y, Zhou E, Wang Y, Wu Y, Xu G, Chen L. The past, present, and future of sleep quality assessment and monitoring. Brain Research 2023;1810:148333 View
  123. Gonzales J, Elavsky S, Cipryan L, Jandačková V, Burda M, Jandačka D. Influence of sleep duration and sex on age-related differences in heart rate variability: Findings from program 4 of the HAIE study. Sleep Medicine 2023;106:69 View
  124. Chinoy E, Cuellar J, Jameson J, Markwald R. Daytime Sleep-Tracking Performance of Four Commercial Wearable Devices During Unrestricted Home Sleep. Nature and Science of Sleep 2023;Volume 15:151 View
  125. Angelucci A, Greco M, Canali S, Marelli G, Avidano G, Goretti G, Cecconi M, Aliverti A. Fitbit Data to Assess Functional Capacity in Patients Before Elective Surgery: Pilot Prospective Observational Study. Journal of Medical Internet Research 2023;25:e42815 View
  126. Zhu Y, Stephenson C, Moghimi E, Jagayat J, Nikjoo N, Kumar A, Shirazi A, Patel C, Omrani M, Alavi N, Köpke S. Investigating the effectiveness of electronically delivered cognitive behavioural therapy (e-CBTi) compared to pharmaceutical interventions in treating insomnia: Protocol for a randomized controlled trial. PLOS ONE 2023;18(5):e0285757 View
  127. Runge N, Suckow M. Die Rolle von Schlafproblemen in der muskuloskelettalen Physiotherapie – Teil 1. MSK – Muskuloskelettale Physiotherapie 2023;27(02):100 View
  128. Windrix C, Vandyck K, Tanaka K, Butt A. Night Float Rotations: Continued Questions With Few Answers. Anesthesia & Analgesia 2023;136(6):e41 View
  129. Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR mHealth and uHealth 2023;11:e49144 View
  130. Gadangi P, Lambert B, Goble H, Harris J, McCulloch P. Validated Wearable Device Shows Acute Postoperative Changes in Sleep Patterns Consistent With Patient-Reported Outcomes and Progressive Decreases in Device Compliance After Shoulder Surgery. Arthroscopy, Sports Medicine, and Rehabilitation 2023;5(5):100783 View
  131. Stirling R, Hidajat C, Grayden D, D’Souza W, Naim-Feil J, Dell K, Schneider L, Nurse E, Freestone D, Cook M, Karoly P. Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration. Brain 2023;146(7):2803 View
  132. Sun S, Folarin A, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Vairavan S, Narayan V, Annas P, Hotopf M, Dobson R. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis. Journal of Medical Internet Research 2023;25:e45233 View
  133. Lee T, Cho Y, Cha K, Jung J, Cho J, Kim H, Kim D, Hong J, Lee D, Keum M, Kushida C, Yoon I, Kim J. Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study. JMIR mHealth and uHealth 2023;11:e50983 View
  134. McMahon M, McConley I, Hashim C, Schnyer D. Fitbit validation for rest-activity rhythm assessment in young and older adults. Smart Health 2023;29:100418 View
  135. Bani Issa W, Hijazi H, Radwan H, Saqan R, Al-Sharman A, Samsudin A, Fakhry R, Al-Yateem N, Rossiter R, Ibrahim A, Moustafa I, Naja F, Alameddine M, Abbas N, Abdelrahim D, Al-Shujairi A, Awad M. Evaluation of the effectiveness of sleep hygiene education and FITBIT devices on quality of sleep and psychological worry: a pilot quasi-experimental study among first-year college students. Frontiers in Public Health 2023;11 View
  136. de Gooijer F, van Kraaij A, Fabius J, Hermsen S, Feskens E, Camps G. Assessing snacking and drinking behavior in Real-Life Settings: Validation of the SnackBox technology. Food Quality and Preference 2023;112:105002 View
  137. Ito-Masui A, Sakamoto R, Matsuo E, Kawamoto E, Motomura E, Tanii H, Yu H, Sano A, Imai H, Shimaoka M. Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial. Journal of Medical Internet Research 2023;25:e45834 View
  138. Williamson A, Amin R, Meltzer L, Laposky A, Fiks A, Tapia I. Defining and Promoting Pediatric Pulmonary Health: Understanding Sleep and Ventilatory Health. Pediatrics 2023;152(Supplement 2) View
  139. Carlson E, Wilckens K, Wheeler M, Lipsitz L. The Interactive Role of Sleep and Circadian Rhythms in Episodic Memory in Older Adults. The Journals of Gerontology: Series A 2023;78(10):1844 View
  140. Doty T, Stekl E, Bohn M, Klosterman G, Simonelli G, Collen J. A 2022 Survey of Commercially Available Smartphone Apps for Sleep. Sleep Medicine Clinics 2023;18(3):373 View
  141. Lederer L, Breton A, Jeong H, Master H, Roghanizad A, Dunn J. The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program. JMIR mHealth and uHealth 2023;11:e45103 View
  142. Lewis-de los Angeles W. Adverse Childhood Experiences and Accelerometer-Measured Physical Activity and Sleep in Preadolescents. Academic Pediatrics 2023 View
  143. Tran H, Hong J, Jang H, Jung J, Kim J, Hong J, Lee M, Kim J, Kushida C, Lee D, Kim D, Yoon I. Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation. Journal of Medical Internet Research 2023;25:e46216 View
  144. Tsai C, Rajput G, Gao A, Wu Y, Wu D. Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study. Journal of the American Medical Informatics Association 2024;31(2):465 View
  145. Goodwin A, Miller D, D’Angelo S, Perrin A, Wiener R, Greene B, Romain A, Arader L, Chandereng T, Kuen Cheung Y, Davidson K, Butler M. Protocol for randomized personalized trial for stress management compared to standard of care. Frontiers in Psychology 2023;14 View
  146. Himali J, Baril A, Cavuoto M, Yiallourou S, Wiedner C, Himali D, DeCarli C, Redline S, Beiser A, Seshadri S, Pase M. Association Between Slow-Wave Sleep Loss and Incident Dementia. JAMA Neurology 2023;80(12):1326 View
  147. Woelfle T, Pless S, Reyes Ó, Wiencierz A, Kappos L, Granziera C, Lorscheider J. Smartwatch-derived sleep and heart rate measures complement step counts in explaining established metrics of MS severity. Multiple Sclerosis and Related Disorders 2023;80:105104 View
  148. Migovich M, Ullal A, Fu C, Peters S, Sarkar N. Feasibility of wearable devices and machine learning for sleep classification in children with Rett syndrome: A pilot study. DIGITAL HEALTH 2023;9 View
  149. Chowdhary A, Davis J, Ding L, Taravati P, Feng S. Resident Sleep During Traditional Home Call Compared to Night Float. Journal of Academic Ophthalmology 2023;15(02):e204 View
  150. Hathorn T, Byun Y, Rosen R, Sharma A. Clinical utility of smartphone applications for sleep physicians. Sleep and Breathing 2023;27(6):2371 View
  151. Creswell J, Tumminia M, Price S, Sefidgar Y, Cohen S, Ren Y, Brown J, Dey A, Dutcher J, Villalba D, Mankoff J, Xu X, Creswell K, Doryab A, Mattingly S, Striegel A, Hachen D, Martinez G, Lovett M. Nightly sleep duration predicts grade point average in the first year of college. Proceedings of the National Academy of Sciences 2023;120(8) View
  152. Khanie M, Illum T, Hosseinpour N, Matsuo K, Fan X, Wargocki P, Ooka R. Exploring the effects of spectral light exposure on University students' sleep quality: A cross-sectional study. E3S Web of Conferences 2023;396:01106 View
  153. Schmidt L, Baetzner A, Dreisbusch M, Mertens A, Sieverding M. Postponing sleep after a stressful day: Patterns of stress, bedtime procrastination, and sleep outcomes in a daily diary approach. Stress and Health 2023 View
  154. Garrett S, Burnell K, Armstrong-Carter E, Nelson B, Prinstein M, Telzer E. Links Between Objectively-Measured Hourly Smartphone Use and Adolescent Wake Events Across Two Weeks. Journal of Clinical Child & Adolescent Psychology 2023:1 View
  155. Ong J, Golkashani H, Ghorbani S, Wong K, Chee N, Willoughby A, Chee M. Selecting a sleep tracker from EEG-based, iteratively improved, low-cost multisensor, and actigraphy-only devices. Sleep Health 2024;10(1):9 View
  156. Kawai K, Iwamoto K, Miyata S, Okada I, Fujishiro H, Noda A, Nakagome K, Ozaki N, Ikeda M. Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e51336 View
  157. Rajput G, Gao A, Wu T, Tsai C, Molano J, Wu D. Sleep Patterns of Premedical Undergraduate Students: Pilot Study and Protocol Evaluation. JMIR Formative Research 2024;8:e45910 View
  158. Kelly K, Kolbeinsson H, Blanck L, Khan M, Kyriakakis R, Assifi M, Wright G, Chung M. Can we let our patients sleep in the hospital? A randomized controlled trial of a pragmatic sleep protocol in surgical oncology patients. Journal of Surgical Oncology 2024;129(4):827 View
  159. Machorro-Cano I, Olmedo-Aguirre J, Alor-Hernández G, Rodríguez-Mazahua L, Sánchez-Morales L, Pérez-Castro N. Cloud-Based Platforms for Health Monitoring: A Review. Informatics 2023;11(1):2 View
  160. González D, Wang D, Pollet E, Velarde A, Horn S, Coss P, Vaou O, Wang J, Li C, Seshadri S, Miao H, Gonzales M. Performance of the Dreem 2 EEG headband, relative to polysomnography, for assessing sleep in Parkinson’s disease. Sleep Health 2024;10(1):24 View
  161. Yue H, Chen Z, Guo W, Sun L, Dai Y, Wang Y, Ma W, Fan X, Wen W, Lei W. Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice. Sleep Medicine Reviews 2024;74:101897 View
  162. Kuo F, Tudor B, Gray G, Ahumada L, Rehman M, Watkins S. Precision Anesthesia in 2050. Anesthesia & Analgesia 2024;138(2):326 View
  163. Junghans-Rutelonis A, Sim L, Harbeck-Weber C, Dresher E, Timm W, Weiss K. Feasibility of wearable activity tracking devices to measure physical activity and sleep change among adolescents with chronic pain—a pilot nonrandomized treatment study. Frontiers in Pain Research 2024;4 View
  164. Svensson T, Madhawa K, NT H, Chung U, Svensson A. Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs. Sleep Medicine 2024;115:251 View
  165. Hassinger A, Velez C, Wang J, Mador M, Wilding G, Mishra A. Association between sleep health and rates of self-reported medical errors in intern physicians: an ancillary analysis of the Intern Health Study. Journal of Clinical Sleep Medicine 2024;20(2):221 View
  166. Schyvens A, Van Oost N, Aerts J, Masci F, Peters B, Neven A, Dirix H, Wets G, Ross V, Verbraecken J. Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review. JMIR mHealth and uHealth 2024;12:e52192 View
  167. Yamakawa M, Kang H, Wang H, Konno R. Sleep quality assessment of adults in care settings using non‐wearable sleep trackers: Scoping review. International Journal of Nursing Practice 2024 View
  168. de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. State of the science and recommendations for using wearable technology in sleep and circadian research. SLEEP 2024;47(4) View
  169. Jeong M, Ha Y. Effects of sleep quality and physical activity measured by a Fitbit and self-rated questionnaire on the health-related quality of life in community-dwelling older adults: A cross-sectional study. Journal of Korean Gerontological Nursing 2024;26(1):43 View
  170. Yamada H, Miyasaka R, Hamada H. Euphausia pacifica emulsified oil powder improves sleep quality in partially sleep-restricted healthy volunteers. Bioscience, Biotechnology, and Biochemistry 2024 View
  171. Menghini L, Balducci C, de Zambotti M. Is it Time to Include Wearable Sleep Trackers in the Applied Psychologists’ Toolbox?. The Spanish Journal of Psychology 2024;27 View
  172. Zapalac K, Miller M, Champagne F, Schnyer D, Baird B. The effects of physical activity on sleep architecture and mood in naturalistic environments. Scientific Reports 2024;14(1) View
  173. Kinoshita S, Hanashiro S, Tsutsumi S, Shiga K, Kitazawa M, Wada Y, Inaishi J, Kashiwagi K, Fukami T, Mashimo Y, Minato K, Kishimoto T. Assessment of stress and well-being of Japanese employees using wearable devices for sleep monitoring combined with ecological momentary assessment: A pilot observational study (Preprint). JMIR Formative Research 2023 View
  174. Zhang Y, Folarin A, Sun S, Cummins N, Ranjan Y, Rashid Z, Stewart C, Conde P, Sankesara H, Laiou P, Matcham F, White K, Oetzmann C, Lamers F, Siddi S, Simblett S, Vairavan S, Myin-Germeys I, Mohr D, Wykes T, Haro J, Annas P, Penninx B, Narayan V, Hotopf M, Dobson R. Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis (Preprint). Journal of Medical Internet Research 2023 View
  175. Zhang Y, Folarin A, Dineley J, Conde P, de Angel V, Sun S, Ranjan Y, Rashid Z, Stewart C, Laiou P, Sankesara H, Qian L, Matcham F, White K, Oetzmann C, Lamers F, Siddi S, Simblett S, Schuller B, Vairavan S, Wykes T, Haro J, Penninx B, Narayan V, Hotopf M, Dobson R, Cummins N. Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. Journal of Affective Disorders 2024;355:40 View
  176. Khan A, Ezeugwa J, Ezeugwu V, Salvatore M. A systematic review of the associations between sedentary behavior, physical inactivity, and non-motor symptoms of Parkinson’s disease. PLOS ONE 2024;19(3):e0293382 View
  177. Song Y, Jeong J, de los Reyes A, Lim D, Cho C, Yeom J, Lee T, Lee J, Lee H, Kim J. Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data. eBioMedicine 2024;103:105094 View
  178. Allen N, Jeremiah A, Murphy R, Sumner R, Forsyth A, Hoeh N, Menkes D, Evans W, Muthukumaraswamy S, Sundram F, Roop P. LSD increases sleep duration the night after microdosing. Translational Psychiatry 2024;14(1) View
  179. Wagenaar C, Toonstra A, Walrabenstein W, van Schaardenburg D, van Nassau F. How the Plants for Joints multidisciplinary lifestyle intervention achieved its effects: a mixed methods process evaluation. BMC Public Health 2024;24(1) View

Books/Policy Documents

  1. Pateliya S, Shah V. Emerging Technologies in Data Mining and Information Security. View
  2. Tung J, Gower S, Ooteghem K, Nouredanesh M, Gage W. Digital Health. View
  3. Yao C, Ho K. Handbook Integrated Care. View
  4. Orchard F, Gregory A. Encyclopedia of Sleep and Circadian Rhythms. View
  5. de Zambotti M, Menghini L, Cellini N, Goldstein C, Baker F. Encyclopedia of Sleep and Circadian Rhythms. View
  6. Chinoy E, Markwald R. Encyclopedia of Sleep and Circadian Rhythms. View
  7. Cook J, Cuamatzi Castelan A, Cheng P. Encyclopedia of Sleep and Circadian Rhythms. View
  8. Verbraecken J. The Role of Epiglottis in Obstructive Sleep Apnea. View
  9. Hui K, Ibrahim F, Mokhtar M, Jamaluddin N. 4th International Conference for Innovation in Biomedical Engineering and Life Sciences. View