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Cited by in F6Publishing
For: Hendriks MMS, van Lotringen JH, Vos-van der Hulst M, Keijsers NLW. Bed Sensor Technology for Objective Sleep Monitoring Within the Clinical Rehabilitation Setting: Observational Feasibility Study. JMIR Mhealth Uhealth 2021;9:e24339. [PMID: 33555268 DOI: 10.2196/24339] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 van Rijssen IM, Hulst RY, Gorter JW, Gerritsen A, Visser-Meily JMA, Dudink J, Voorman JM, 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. J Clin Sleep Med 2023;19:35-43. [PMID: 35975545 DOI: 10.5664/jcsm.10246] [Reference Citation Analysis]
2 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. [DOI: 10.1002/hsr2.608] [Reference Citation Analysis]
3 Sadek I, Abdulrazak B, Mokhtari M. Evaluating an IoT under-mattress sensor mat for detecting anomalies in sleep parameters: A pilot study. 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) 2021. [DOI: 10.1109/ccece53047.2021.9569152] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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