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Study Objectives: To investigate how subjective assessments and device-based measurements of sleep relate to each other in children with cerebral palsy (CP).
Methods: Sleep of children with CP, classified at Gross Motor Function Classification System levels I-III, was measured during 7 consecutive nights using 1 subjective (ie, sleep diary) and 2 device-based (ie, actigraphy and bed sensor) instruments. The agreement between the instruments was assessed for all nights and separately for school- and weekend nights, using intraclass correlation coefficients (ICC) and Bland-Altman plots.
Results: A total of 227 nights from 38 children with CP (53% male; median age [range] 6 [2-12] years), were included in the analyses. Sleep parameters showed poor agreement between the 3 instruments, except for total time in bed, which showed satisfactory agreement between (1) actigraphy and sleep diary (ICC > 0.86), (2) actigraphy and bed sensor (ICC > 0.84), and (3) sleep diary and bed sensor (ICC > 0.83). Furthermore, agreement between sleep diary and bed sensor was also satisfactory for total sleep time (ICC > 0.70) and wakefulness after sleep onset (ICC = 0.55; only during weekend nights).
Conclusions: Researchers and clinicians need to be aware of the discrepancies between instruments for sleep monitoring in children with CP. We recommend combining both subjective and device-based measures to provide information on the perception as well as an unbiased estimate of sleep. Further research needs to be conducted on the use of a bed sensor for sleep monitoring in children with CP.
Citation: van Rijssen IM, Hulst RY, Gorter JW, et al. Device-based and subjective measurements of sleep in children with cerebral palsy: a comparison of sleep diary, actigraphy, and bed sensor data. . 2023;19(1):35-43.
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http://dx.doi.org/10.5664/jcsm.10246 | DOI Listing |
Prog Mol Biol Transl Sci
September 2025
Division of Sleep Medicine, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, United States; Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, United States; Department of Medicine, Case Western Reserve University, Clevelan
Obstructive sleep apnea (OSA) is a pervasive disorder characterized by recurrent airway obstructions during sleep. OSA carries serious health risks, such as cardiovascular and cognitive impairments, and imposes a significant economic burden. This chapter provides a comprehensive overview of various biosensors currently employed for OSA detection, including in-lab polysomnography and flow-based home sleep apnea testing.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
September 2025
Department of Senior Citizen Services, National Tainan Junior College of Nursing, Tainan, Taiwan.
Purpose: This study explored the experiences of long-term care workers in using assistive technologies in dementia-specific care facilities in Taiwan, with a focus on perceived benefits, challenges encountered, and required support strategies.
Methods: A qualitative research design was employed. Ten female care workers from five dementia-specific long-term care institutions, each with at least 1 year of experience using assistive technologies, participated in semi-structured in-depth interviews.
Proc Jpn Acad Ser B Phys Biol Sci
August 2025
Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University (emeritus).
This study assessed the feasibility of unconstrained deep-learning-based sleep stage classification using cardiorespiratory and body movement activities derived from piezoelectric sensors installed under a bed mattress. Heart and respiratory rates and their respective variabilities, cardiorespiratory coupling index, and body movement were simultaneously acquired through polysomnography (PSG) for 106 untreated participants with suspected sleep apnea. We used a bidirectional long short-term memory network to predict the five sleep stages using five different input feature combinations.
View Article and Find Full Text PDFJ Vasc Nurs
September 2025
Department of Plastic, Reconstructive and Hand Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Objective: Pressure injuries (PIs) are a burden because they cause pain, prolong hospital stays, and increase mortality. Especially for individuals who are bedridden, the support surface is one of the main factors influencing the PI risk. Therefore, we quantitatively assessed the interface pressures of four hospital mattresses aiming to reduce the risk of PI of our patients by an optimized mattress selection.
View Article and Find Full Text PDFAAPS PharmSciTech
August 2025
Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand.
The quality attributes of pharmaceutical products have been affected by the duration of manufacturing processes; therefore, manufacturers use various endpoint determination approaches such as time- and property-defined endpoints. In this study, two methods were proposed for determining the endpoint of the drying process of wet granules via experiments on a commercial-scale fluidized bed dryer (FBD) with a production setting. In particular, a near-infrared (NIR) spectroscope and humidity-temperature probes were used to determine their feasibility for alternatively monitoring the moisture content (MC) of granules.
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