Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at, first published .
Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review

Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review

Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review


  1. Liao L, Wang Y, Tsao Y, Wang I, Jhang D, Chuang C, Chen S. Design and Implementation of a Multifunction Wearable Device to Monitor Sleep Physiological Signals. Micromachines 2020;11(7):672 View
  2. Richardson P, Harrison L, Heathcote L, Rush G, Shear D, Lalloo C, Hood K, Wicksell R, Stinson J, Simons L. mHealth for pediatric chronic pain: state of the art and future directions. Expert Review of Neurotherapeutics 2020;20(11):1177 View
  3. Patel S, Donovan L. The COVID-19 Pandemic Presents an Opportunity to Reassess the Value of Polysomnography. American Journal of Respiratory and Critical Care Medicine 2020;202(3):309 View
  4. Arora A, Chakraborty P, Bhatia M. Analysis of Data from Wearable Sensors for Sleep Quality Estimation and Prediction Using Deep Learning. Arabian Journal for Science and Engineering 2020;45(12):10793 View
  5. Xu H, Li P, Yang Z, Liu X, Wang Z, Yan W, He M, Chu W, She Y, Li Y, Cao D, Yan M, Zhang Z. Construction and Application of a Medical-Grade Wireless Monitoring System for Physiological Signals at General Wards. Journal of Medical Systems 2020;44(10) View
  6. Manoni A, Loreti F, Radicioni V, Pellegrino D, Della Torre L, Gumiero A, Halicki D, Palange P, Irrera F. A New Wearable System for Home Sleep Apnea Testing, Screening, and Classification. Sensors 2020;20(24):7014 View
  7. Ragupathi D, Ibrahim N, Tan K, Andrew B. Relations of Bedtime Mobile Phone Use to Cognitive Functioning, Academic Performance, and Sleep Quality in Undergraduate Students. International Journal of Environmental Research and Public Health 2020;17(19):7131 View
  8. Chopra R, Wagner S, Keane P. Optical coherence tomography in the 2020s—outside the eye clinic. Eye 2021;35(1):236 View
  9. Van Daele T, Best P, Bernaerts S, Van Assche E, De Witte N. Dropping the E: The potential for integrating e-mental health in psychotherapy. Current Opinion in Psychology 2021;41:46 View
  10. Baldo T, de Lima L, Mendes L, de Araujo W, Paixão T, Coltro W. Wearable and Biodegradable Sensors for Clinical and Environmental Applications. ACS Applied Electronic Materials 2021;3(1):68 View
  11. Valera Román A, Pato Martínez D, Lozano Murciego Á, Jiménez-Bravo D, de Paz J. Voice Assistant Application for Avoiding Sedentarism in Elderly People Based on IoT Technologies. Electronics 2021;10(8):980 View
  12. Kwon S, Kim H, Yeo W. Recent advances in wearable sensors and portable electronics for sleep monitoring. iScience 2021;24(5):102461 View
  13. Wei J, Boger J. Sleep Detection for Younger Adults, Healthy Older Adults, and Older Adults Living With Dementia Using Wrist Temperature and Actigraphy: Prototype Testing and Case Study Analysis. JMIR mHealth and uHealth 2021;9(6):e26462 View
  14. Baek Y, Jeong K, Lee S, Kim H, Seo B, Jin H. Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management App (MibyeongBogam) in Early Middle-Aged Koreans: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(8):e27455 View
  15. Gurubhagavatula I, Barger L, Barnes C, Basner M, Boivin D, Dawson D, Drake C, Flynn-Evans E, Mysliwiec V, Patterson P, Reid K, Samuels C, Shattuck N, Kazmi U, Carandang G, Heald J, Van Dongen H. Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society. Journal of Clinical Sleep Medicine 2021;17(11):2283 View
  16. Gurubhagavatula I, Barger L, Barnes C, Basner M, Boivin D, Dawson D, Drake C, Flynn-Evans E, Mysliwiec V, Patterson P, Reid K, Samuels C, Shattuck N, Kazmi U, Carandang G, Heald J, Van Dongen H. Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society. Sleep 2021;44(11) View
  17. Zhang Z, Jin X, Wan Z, Zhu M, Wu S, Chen X. A Feasibility Study on Smart Mattresses to Improve Sleep Quality. Journal of Healthcare Engineering 2021;2021:1 View
  18. Moore Z, Avsar P, O'Connor T, Budri A, Bader D, Worsley P, Caggiari S, Patton D. A systematic review of movement monitoring devices to aid the prediction of pressure ulcers in at‐risk adults. International Wound Journal 2023;20(2):579 View
  19. Farooq A, Zhang P. A comprehensive review on the prospects of next-generation wearable electronics for individualized health monitoring, assistive robotics, and communication. Sensors and Actuators A: Physical 2022;344:113715 View
  20. Bordas-Martinez J, Salord N, Fontanilles E, Prado E, Calvo M, Carmezim J, Santos S, Monasterio C. Telemedicine home CPAP titration and follow-up in the COVID-19 scenario. ERJ Open Research 2022;8(4):00084-2022 View
  21. Masi G, Amprimo G, Priano L, Ferraris C. New Perspectives in Nonintrusive Sleep Monitoring for Neurodegenerative Diseases—A Narrative Review. Electronics 2023;12(5):1098 View
  22. 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
  23. Ko Y, Kuo P, Wang C, Chen Y, Chuang P, Li S, Chen B, Yang F, Lo Y, Yang Y, Ro S, Jaw F, Lin S, Chen Y. Quantification Analysis of Sleep Based on Smartwatch Sensors for Parkinson’s Disease. Biosensors 2022;12(2):74 View
  24. Moura I, Teles A, Viana D, Marques J, Coutinho L, Silva F. Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review. Journal of Biomedical Informatics 2023;138:104278 View
  25. 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
  26. Wang W, Chen I, Hershkovich L, Yang J, Shetty A, Singh G, Jiang Y, Kotla A, Shang J, Yerrabelli R, Roghanizad A, Shandhi M, Dunn J. A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications. Sensors 2022;22(20):8016 View
  27. 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
  28. Servais L, Yen K, Guridi M, Lukawy J, Vissière D, Strijbos P. Stride Velocity 95th Centile: Insights into Gaining Regulatory Qualification of the First Wearable-Derived Digital Endpoint for use in Duchenne Muscular Dystrophy Trials. Journal of Neuromuscular Diseases 2022;9(2):335 View
  29. Lui G, Loughnane D, Polley C, Jayarathna T, Breen P. The Apple Watch for Monitoring Mental Health–Related Physiological Symptoms: Literature Review. JMIR Mental Health 2022;9(9):e37354 View
  30. Enis Cetin A, Ozturk Y, Hanosh O, Ansari R. Review of signal processing applications of Pyroelectric Infrared (PIR) sensors with a focus on respiration rate and heart rate detection. Digital Signal Processing 2021;119:103247 View
  31. Kazanskiy N, Butt M, Khonina S. Recent Advances in Wearable Optical Sensor Automation Powered by Battery versus Skin-like Battery-Free Devices for Personal Healthcare—A Review. Nanomaterials 2022;12(3):334 View
  32. Fonseka L, Woo B. Wearables in Schizophrenia: Update on Current and Future Clinical Applications. JMIR mHealth and uHealth 2022;10(4):e35600 View
  33. Radhakrishnan B, Kirubakaran E, Jebadurai I, Selvakumar A, Peter J. Efficacy of Single-Channel EEG: A Propitious Approach for In-home Sleep Monitoring. Frontiers in Public Health 2022;10 View
  34. Óskarsdóttir M, Islind A, August E, Arnardóttir E, Patou F, Maier A. Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study. JMIR Formative Research 2022;6(2):e31807 View
  35. Kozak K, Seidel A, Matvieieva N, Neupetsch C, Teicher U, Lemme G, Ben Achour A, Barth M, Ihlenfeldt S, Drossel W. Unique Device Identification–Based Linkage of Hierarchically Accessible Data Domains in Prospective Surgical Hospital Data Ecosystems: User-Centered Design Approach. JMIR Medical Informatics 2023;11:e41614 View
  36. Cohen Zion M, Gescheit I, Levy N, Yom-Tov E. Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire. Journal of Medical Internet Research 2022;24(11):e41288 View
  37. Sivakumar N, Mura C, Peirce S. Innovations in integrating machine learning and agent-based modeling of biomedical systems. Frontiers in Systems Biology 2022;2 View
  38. Bhatt P, Liu J, Gong Y, Wang J, Guo Y. Emerging Artificial Intelligence–Empowered mHealth: Scoping Review. JMIR mHealth and uHealth 2022;10(6):e35053 View
  39. Yang C, Hu M, Zhai G, Zhang X. Graph-Based Denoising for Respiration and Heart Rate Estimation During Sleep in Thermal Video. IEEE Internet of Things Journal 2022;9(17):15697 View
  40. Hermanns N, Ehrmann D, Shapira A, Kulzer B, Schmitt A, Laffel L. Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes. Diabetologia 2022;65(11):1883 View
  41. Danoff-Burg S, Rus H, Weaver M, Raymann R. Sleeping in an Inclined Position to Reduce Snoring and Improve Sleep: In-home Product Intervention Study. JMIR Formative Research 2022;6(4):e30102 View
  42. Li X, Kane M, Zhang Y, Sun W, Song Y, Dong S, Lin Q, Zhu Q, Jiang F, Zhao H. Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach. Journal of Medical Internet Research 2021;23(10):e18403 View
  43. Leroux A, Rzasa-Lynn R, Crainiceanu C, Sharma T. Wearable Devices: Current Status and Opportunities in Pain Assessment and Management. Digital Biomarkers 2021;5(1):89 View
  44. Siebra C, Wac K. Designing ontologies for behaviours based on temporal passive data. Applied Ontology 2023;18(1):71 View
  45. 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
  46. Baumann S, Stone R, Genschel U, Mgaedeh F. The Pi-CON Methodology Applied: Operator Errors and Preference Tracking of a Novel Ubiquitous Vital Signs Sensor and Its User Interface. International Journal of Human–Computer Interaction 2023:1 View
  47. Long H, Li S, Chen Y. Digital health in chronic obstructive pulmonary disease. Chronic Diseases and Translational Medicine 2023;9(2):90 View
  48. 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
  49. Umapathy V, Rajinikanth B S, Samuel Raj R, Yadav S, Munavarah S, Anandapandian P, Mary A, Padmavathy K, R A. Perspective of Artificial Intelligence in Disease Diagnosis: A Review of Current and Future Endeavours in the Medical Field. Cureus 2023 View
  50. Mo W, Yamakawa M, Takahashi S, Liu X, Nobuhara K, Kurakami H, Takeya Y, Ikeda M. Effect of sleep report feedback using information and communication technology combined with health guidance on improving sleep indicators in community‐dwelling older people: a pilot trial. Psychogeriatrics 2023;23(5):763 View
  51. Shahbaz M, Butt M, Piramidowicz R. A Concise Review of the Progress in Photonic Sensing Devices. Photonics 2023;10(6):698 View
  52. Lopez-Barreiro J, Garcia-Soidan J, Alvarez-Sabucedo L, Santos-Gago J. Practical Approach to Designing and Implementing a Recommendation System for Healthy Challenges. Applied Sciences 2023;13(17):9782 View
  53. 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
  54. Buimer H, Siebelink N, Gaasterland A, van Dam K, Smits A, Frederiks K, van der Poel A. Sleep–wake monitoring of people with intellectual disability: Examining the agreement of EMFIT QS and actigraphy. Journal of Applied Research in Intellectual Disabilities 2023;36(6):1276 View
  55. Kwon S, Kim H, Kwon K, Kim H, Kim Y, Lee S, Kwon Y, Jeong J, Trotti L, Duarte A, Yeo W. At-home wireless sleep monitoring patches for the clinical assessment of sleep quality and sleep apnea. Science Advances 2023;9(21) View
  56. Dang T, Spathis D, Ghosh A, Mascolo C. Human-centred artificial intelligence for mobile health sensing: challenges and opportunities. Royal Society Open Science 2023;10(11) View
  57. Martin J, Huang H, Johnson R, Yu L, Jansen E, Martin R, Yager C, Boolani A. Association between Self-reported Sleep Quality and Single-task Gait in Young Adults: A Study Using Machine Learning. Sleep Science 2023;16(04):e399 View
  58. Mohamed M, Mohamed N, Kim J. Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review. Biosensors 2023;13(12):1019 View
  59. 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
  60. Seol J, Chiba S, Kawana F, Tsumoto S, Masaki M, Tominaga M, Amemiya T, Tani A, Hiei T, Yoshimine H, Kondo H, Yanagisawa M. Validation of sleep-staging accuracy for an in-home sleep electroencephalography device compared with simultaneous polysomnography in patients with obstructive sleep apnea. Scientific Reports 2024;14(1) View
  61. Birrer V, Elgendi M, Lambercy O, Menon C. Evaluating reliability in wearable devices for sleep staging. npj Digital Medicine 2024;7(1) View
  62. 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: Pilot Observational Study. JMIR Formative Research 2024;8:e49396 View
  63. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  64. Gnarra O, van der Meer J, Warncke J, Fregolente L, Wenz E, Zub K, Nwachukwu U, Zhang Z, Khatami R, von Manitius S, Miano S, Acker J, Strub M, Riener R, Bassetti C, Schmidt M. The Swiss Primary Hypersomnolence and Narcolepsy Cohort Study: feasibility of long-term monitoring with Fitbit smartwatches in central disorders of hypersomnolence and extraction of digital biomarkers in narcolepsy. SLEEP 2024 View
  65. de Gans C, Burger P, van den Ende E, Hermanides J, Nanayakkara P, Gemke R, Rutters F, Stenvers D. Sleep assessment using EEG-based wearables – A systematic review. Sleep Medicine Reviews 2024;76:101951 View
  66. Balkan N, Çavuşoğlu M, Hornung R. Application of portable sleep monitoring devices in pregnancy: a comprehensive review. Physiological Measurement 2024;45(5):05TR01 View
  67. Li H, Xu B, Sun Z, Yan R, Wu Y, Zhang H, Zhou K, Xu L. The role of comfort, personality, and intention in smartwatch usage during sleep. Humanities and Social Sciences Communications 2024;11(1) View
  68. Gauld C, Hartley S, Micoulaud-Franchi J, Royant-Parola S. Sleep Health Analysis Through Sleep Symptoms in 35,808 Individuals Across Age and Sex Differences: Comparative Symptom Network Study. JMIR Public Health and Surveillance 2024;10:e51585 View

Books/Policy Documents

  1. Streur-Kranenburg M. Leefstijlgeneeskunde in de praktijk. View
  2. Sengoku S. Mobile Health (mHealth). View