This paper is in the following e-collection/theme issue:

mHealth in a Clinical Setting (615) New Methods (944) Sensors at Home and Domotics (58) Sleep Monitoring, Sleep Quality, Sleep Disorders (183) Emerging Technologies for Rehabilitation (261) Spinal Cord Injury Rehabilitation (62)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24339, first published .
Bed Sensor Technology for Objective Sleep Monitoring Within the Clinical Rehabilitation Setting: Observational Feasibility Study

Bed Sensor Technology for Objective Sleep Monitoring Within the Clinical Rehabilitation Setting: Observational Feasibility Study

Bed Sensor Technology for Objective Sleep Monitoring Within the Clinical Rehabilitation Setting: Observational Feasibility Study

Authors of this article:

Maartje M S Hendriks1, 2 Author Orcid Image ;   Jaap H van Lotringen3 Author Orcid Image ;   Marije Vos-van der Hulst3 Author Orcid Image ;   Noël L W Keijsers1, 2 Author Orcid Image
Article Authors Cited by (14) Tweetations (1) Metrics

Journals

  1. Cay G, Ravichandran V, Sadhu S, Zisk A, Salisbury A, Solanki D, Mankodiya K. Recent Advancement in Sleep Technologies: A Literature Review on Clinical Standards, Sensors, Apps, and AI Methods. IEEE Access 2022;10:104737 View
  2. van Rijssen I, Hulst R, Gorter J, Gerritsen A, Visser-Meily J, Dudink J, Voorman J, Pillen S, Verschuren O. Device-based and subjective measurements of sleep in children with cerebral palsy: a comparison of sleep diary, actigraphy, and bed sensor data. Journal of Clinical Sleep Medicine 2023;19(1):35 View
  3. Goergen C, Tweardy M, Steinhubl S, Wegerich S, Singh K, Mieloszyk R, Dunn J. Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data. Annual Review of Biomedical Engineering 2022;24(1):1 View
  4. Ahuja M, Siddhpuria S, Reppas‐Rindlisbacher C, Wong E, Gormley J, Lee J, Patterson C. Sleep monitoring challenges in patients with neurocognitive disorders: A cross‐sectional analysis of missing data from activity trackers. Health Science Reports 2022;5(3) View
  5. LEE S, AN K, KWON S, SONG W. SLEEP MONITORING FOR INDIVIDUALS WITH SPINAL CORD INJURY USING CONTACT-FREE BED SENSORS. Journal of Mechanics in Medicine and Biology 2022;22(08) View
  6. Zhai H, Yan Y, He S, Zhao P, Zhang B. Evaluation of the Accuracy of Contactless Consumer Sleep-Tracking Devices Application in Human Experiment: A Systematic Review and Meta-Analysis. Sensors 2023;23(10):4842 View
  7. 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
  8. Ong J, Baron K. Contactless monitoring for the elderly: potential and pitfalls. SLEEP 2023;46(10) View
  9. Mishica C, Kyröläinen H, Taskinen S, Hynynen E, Nummela A, Holmberg H, Linnamo V. Associations between objective measures of performance-related characteristics and perceived stress in young cross-country skiers during pre-season training. Journal of Sports Sciences 2024:1 View
  10. Yanagisawa N, Nishizaki Y, Yao B, Zhang J, Kasai T. Changepoint Detection in Heart Rate Variability Indices in Older Patients Without Cancer at End of Life Using Ballistocardiography Signals: Preliminary Retrospective Study. JMIR Formative Research 2024;8:e53453 View
  11. Marmis R, McGoldrick-Ruth L, Kelly M, Haynes P. Comparing actigraphy and diary to measure daily and average sleep in firefighters: a Bland–Altman analysis. Journal of Clinical Sleep Medicine 2024;20(4):497 View
  12. Zhao T, Li Z, Liu W, Fu X, Zhou Y, Zhou L. Unconstrained Respiratory Event Detection Using a Flexible Tactile Sensor. IEEE Sensors Journal 2024;24(19):30095 View