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

mHealth in a Clinical Setting (500) New Methods (696) Sensors at Home and Domotics (48) Sleep Monitoring, Sleep Quality, Sleep Disorders (122) Emerging Technologies for Rehabilitation (175) Spinal Cord Injury Rehabilitation (51)

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 Hendriks 1, 2 Author Orcid Image ;   Jaap H van Lotringen 3 Author Orcid Image ;   Marije Vos-van der Hulst 3 Author Orcid Image ;   Noël L W Keijsers 1, 2 Author Orcid Image
Article Authors Cited by (7) 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