scholarly journals A Feasibility Study on Smart Mattresses to Improve Sleep Quality

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zicheng Zhang ◽  
Xinchen Jin ◽  
Zechuan Wan ◽  
Minghuan Zhu ◽  
Shanshan Wu
Keyword(s):  
Sleep Quality ◽  
Human Body ◽  
Control Unit ◽  
Scanning Speed ◽  
Future Research ◽  
Local Pressure ◽  
Sleeping Position ◽  
Smart Lighting ◽  
Air Bag ◽  
Improve Sleep Quality

Good sleep quality is essential, especially for clinical users. Sleep disorders not only impair the success rate of treatment but also delay recovery. They can seriously interfere with treatment outcomes and even endanger a user’s life. In this study, we created a smart mattress containing 10 × 18 air packs and control units. Each air pack contains a set of pressure and height sensors and two air valves. Each row control unit can detect and adjust the pressure and height of each air bag in the row. When the bed body is turned on, it automatically initializes, adjusts the state of each air bag to the same height and pressure, and enters a slow scanning state. When perceived objects or people are lying on the bed, the bed automatically perceives the human body structure and body pressure matrix, increases the scanning speed for more timely and accurate measurements of the digital matrix and forming pressure by matrix-normalized processing, and then uses local pressure variance detection to automatically adjust to the sleeping position of the human body and thus achieve a uniform force distribution and a comfortable state. Finally, pressure matrix binarization was used to match sleeping position templates to identify the best template for automatic recognition of the sleeping position. The experimental results show that the sleeping position recognition method has high accuracy, recall, and precision. Our mattress is designed with interfaces for external devices. In future research, the smart mattress can connect to an auxiliary part of a smart ecosystem consisting of a smart pill box, a smart lighting system, and a microclimate system, which is expected to yield a more comprehensive intelligent ward to explore the possibility of improving sleep quality.

scholarly journals The Effect of Virtual Mindfulness-Based Interventions on Sleep Quality: A Systematic Review of Randomized Controlled Trials

2021 ◽  
Vol 23 (9) ◽  
Author(s):  
Amanda Jiang ◽  
Michael Rosario ◽  
Sara Stahl ◽  
Jessica M. Gill ◽  
Heather L. Rusch
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Preliminary Evidence ◽  
Delivery Method ◽  
Attrition Rates ◽  
Long Term Effect ◽  
Evidence Based Treatments ◽  
Intervention Adherence ◽  
Improve Sleep Quality

Abstract Purpose of Review We summarized peer-reviewed literature investigating the effect of virtual mindfulness-based interventions (MBIs) on sleep quality. We aimed to examine the following three questions: (1) do virtual MBIs improve sleep quality when compared with control groups; (2) does the effect persist long-term; and (3) is the virtual delivery method equally feasible compared to the in-person delivery method? Recent Findings Findings suggest that virtual MBIs are equivalent to evidence-based treatments, and to a limited extent, more effective than non-specific active controls at reducing some aspects of sleep disturbance. Overall, virtual MBIs are more effective at improving sleep quality than usual care controls and waitlist controls. Studies provide preliminary evidence that virtual MBIs have a long-term effect on sleep quality. Moreover, while virtual MBI attrition rates are comparable to in-person MBI attrition rates, intervention adherence may be compromised in the virtual delivery method. Summary This review highlights virtual MBIs as a potentially effective alternative to managing sleep disturbance during pandemic-related quarantine and stay-at-home periods. This is especially relevant due to barriers of accessing in-person interventions during the pandemic. Future studies are needed to explore factors that influence adherence and access to virtual MBIs, with a particular focus on diverse populations.

Evaluation of compression-recovery and thermal characteristics of multilayer bedding textiles

2020 ◽  
Vol 32 (5) ◽  
pp. 631-643
Author(s):  
Sedat Özer ◽  
Yaşar Erayman Yüksel ◽  
Yasemin Korkmaz
Keyword(s):  
Thermal Conductivity ◽  
Sleep Quality ◽  
Thermal Comfort ◽  
Sleep Duration ◽  
Human Body ◽  
Design Methodology ◽  
Thermal Characteristics ◽  
Air Permeability ◽  
Content Type ◽  
Thermal Comfort Properties

PurposeDesign of bedding textiles that contact the human body affects the sleep quality. Bedding textiles contribute to comfort sense during the sleep duration, in addition to ambient and bed microclimate. The purpose of this study is to evaluate the effects of different layer properties on the compression recovery and thermal characteristics of multilayer bedding textiles.Design/methodology/approachIn this study, woven and knitted multilayer bedding textiles were manufactured from fabric, fiber, sponge and interlining, respectively. Different sponge thickness, fiber and interlining weight were used in the layers of samples. Later, the pilling resistance, compression and recovery, air permeability and thermal conductivity of multilayer bedding textiles were investigated.FindingsThe results indicated that samples with the higher layer weight and thickness provide better compression recovery and lower air permeability properties. It was also found that knitted surfaces show the higher air permeability than the woven surfaces depending on the fabric porosity. Layer properties have insignificant effect on the thermal conductivity values.Originality/valueWhile researchers mostly focus on thermal comfort properties of garments, there are limited studies about comfort properties of bedding textiles in the literature. Furthermore, compression recovery properties of bedding textiles have also a great importance in terms of comfort. Originality of this study is that these properties were analyzed together.

Endoscopic Sinus Surgery Improves Sleep Quality in Chronic Rhinosinusitis: A Systematic Review and Meta-analysis

2017 ◽  
Vol 158 (2) ◽  
pp. 249-256 ◽  
Author(s):  
Daniel C. Sukato ◽  
Jason M. Abramowitz ◽  
Marina Boruk ◽  
Nira A. Goldstein ◽  
Richard M. Rosenfeld
Keyword(s):  
Systematic Review ◽  
Sleep Quality ◽  
Chronic Rhinosinusitis ◽  
Endoscopic Sinus Surgery ◽  
Meta Analysis ◽  
Research Direction ◽  
Sinus Surgery ◽  
Future Research ◽  
Apnea Hypopnea Index ◽  
Poor Sleep

Objective Up to 75% of patients with chronic rhinosinusitis (CRS) suffer with poor sleep quality and reduced quality of life. Endoscopic sinus surgery has demonstrated encouraging results in improving sleep function. The aim of this systematic review is to assess the change in sleep quality after surgery for CRS. Data Sources PubMed, Web of Science, EMBASE. Review Methods An electronic search was conducted with the keywords “sinusitis” or “rhinosinusitis” and “sleep.” Studies were included only when adults underwent endoscopic sinus surgery and were evaluated pre- and postoperatively by the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index (PSQI), the Apnea-Hypopnea Index (AHI), the sleep domain of Sino-Nasal Outcome Test–22, or the sleep domain of Rhinosinusitis Disability Index. Results The database search yielded 1939 studies, of which 7 remained after dual-investigator screening. The standardized mean differences (95% CI) for the ESS, PSQI, and AHI were −0.94 (−1.63 to −0.26), −0.80 (−1.46 to −0.14), and −0.20 (−0.32 to −0.07), indicating large, moderate to large, and small improvements, respectively. All analyses displayed high heterogeneity ( I2 = 95%-99%). Conclusion Sleep quality, as measured by the ESS and PSQI surveys, shows substantial improvement after surgery for CRS, with smaller improvement seen for AHI. Generalizability of our results is limited by high heterogeneity among studies and by broad confidence intervals that cannot exclude small to trivial changes. The findings of this meta-analysis provide insight into the effect of CRS-related endoscopic sinus surgery on sleep quality, which should guide future research direction and counseling of patients in the clinical setting.

A nonpharmacological approach to improve sleep quality in older adults

2017 ◽  
Vol 10 (2) ◽  
pp. e12301 ◽  
Author(s):  
Iris Rawtaer ◽  
Rathi Mahendran ◽  
Hui Yu Chan ◽  
Feng Lei ◽  
Ee Heok Kua
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Improve Sleep Quality

Effects of air mattress pressure on sleep quality and physiological responses: comparison of shoulder and hip pressure relief

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yoon Jeong Baek ◽  
Seung-Hyun Kim ◽  
Sayup Kim ◽  
Eui-Sang Yoo ◽  
Joo-Young Lee
Keyword(s):  
Sleep Quality ◽  
Surface Pressure ◽  
Pressure Control ◽  
Body Region ◽  
High Quality ◽  
Pressure Relief ◽  
Content Type ◽  
Quality Sleep ◽  
Improve Sleep Quality

PurposeThe purpose of the present study was to evaluate the effect of air mattress pressure on sleep quality.Design/methodology/approachTen young healthy males participated in all hard surface [AH], shoulder soft [SS] and shoulder and hip soft mattress [SHS] conditions. The surface pressure for SS and SHS were set at their preferred levels.FindingsThe results showed that sleep efficiencies were over 95% for all the three conditions; there were no significant differences in individual sleep variables among the three conditions, but overall sleep quality was better for SS than AH (p = 0.065); heart rates during sleep was greater for AH than the other two conditions (p < 0.1); and a stronger relationship between clothing and bed microclimate humidity were found for SS and SHS than that for AH.Research limitations/implicationsThese results indicated that the both pressure relief air mattresses that were set at their own preferred levels provided high quality sleep with no marked differences.Practical implicationsAir pressure relief mattresses can improve sleep quality of healthy individuals during sleep at night. The results can be used to understand appropriate pressure distribution on surface mattress according to body region, and also to develop algorithms to provide optimum sleep using mattresses with surface pressure control by body region.Originality/valueThe present study found that the shoulder and/or hip pressure relief air mattresses that were set at their own preferred levels provided high quality sleep with no marked differences.

142 Prenatal Sleep Quality and Infant Sleep: A Longitudinal Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A58-A59
Author(s):  
Rebecca Burdayron ◽  
Marie-Helene Pennestri ◽  
Elizabeth Keys ◽  
Lianne Tomfohr-Madsen ◽  
Gerald Giesbrecht
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Gestational Age ◽  
Sleep Onset ◽  
Depression Scale ◽  
Future Research ◽  
Poor Sleep ◽  
Infant Sleep ◽  
Maternal Sleep ◽  
Sleep Parameters

Abstract Introduction Poor sleep quality is common during pregnancy and can increase the risk of adverse obstetric and fetal outcomes. Existing research on the association between prenatal sleep and infant sleep is scarce and has focused on other aspects of prenatal sleep such as sleep duration, chronotype, and insomnia symptoms. To our knowledge, no studies have examined the association between prenatal sleep quality and infant sleep outcomes. Thus, this study aimed to investigate whether maternal sleep quality during pregnancy was prospectively associated with infant sleep dimensions, independent of relevant covariates. Methods Participants were a subset of 272 mother-infant dyads enrolled in an ongoing cohort study. Maternal prenatal sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) in early to mid- (M gestational age = 15.12 ± 3.56 weeks) and late- (M gestational age = 32.44 ± 0.99 weeks) pregnancy. Mothers completed the Brief Infant Sleep Questionnaire (BISQ) at 3, 6, and 12 months postpartum. The following infant sleep parameters were assessed: sleep duration (day, night, 24-hour), number of night awakenings, and wake after sleep onset. Prenatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at both pregnancy time points. Other covariates included maternal age at enrollment, infant age, parity, and co-sleeping status. Results Generalized estimating equations (GEE) models revealed that poorer maternal sleep quality during early-to-mid pregnancy did not significantly predict infant sleep parameters after adjustment for covariates (p &gt; .05). However, in late pregnancy, poorer maternal sleep quality significantly predicted shorter 24-hour sleep duration and longer wake after sleep onset, but not daytime sleep duration, nighttime sleep duration, and number of night awakenings (p &lt; .05). Conclusion Study findings advance our understanding of the prospective link between maternal prenatal sleep quality and infant sleep. Results indicate that maternal sleep quality during late gestation may play a role in the development of infant sleep patterns. These findings have important implications for intervention efforts targeting maternal sleep quality during pregnancy. Future research should use objective measures of sleep, such as actigraphy, to better elucidate the effects of prenatal sleep quality on infant sleep outcomes. Support (if any) The Canadian Institutes of Health Research (CIHR)

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