Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality

Yu, Hyunsoo; Shin, Oh‐Soon; Kim, Sayup; Park, Cheolsoo

doi:10.3390/s20185317

Cited by 5 publications

(8 citation statements)

References 74 publications

(81 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found that compared to baseline, sleeping on the grid mattress resulted in significant improvements in nighttime sleep quality/quantity and pain, as well as corresponding improvements in daytime mood (i.e., tension, anger, vigor, fatigue, and confusion), perceived stress, daytime fatigue, and pain. Consistent with other research, the mattress is an important environmental component that can improved sleep quality, with mattress firmness being a key aspect 24 …”

Section: Discussionsupporting

confidence: 84%

Effectiveness of a grid mattress on adults' sleep quality and health: A quasi‐experimental intervention study

Breus,

Hooper,

Lynch

et al. 2024

Health Science Reports

View full text Add to dashboard Cite

Background and aimsDespite that 93% of people indicate that a mattress plays a pivotal role in achieving high‐quality sleep, there is a scarcity of research investigating the influence of mattresses on sleep quality, pain, and mood in nonclinical poor sleepers. The purpose was to examine the effectiveness of a pressure‐releasing medium‐firm grid mattress on sleep and health outcomes (e.g., mood, pain, daytime fatigue) of adults with nonclinical insomnia symptoms using a quasi‐experimental design.MethodsParticipants were 39 adults (mean age = 45.29) with nonclinical insomnia (i.e., occasional sleeplessness). Following 1 week of baseline assessments on their current mattress, they slept on a pressure‐relieving grid mattress for 8 weeks. Participants completed self‐report assessments of the Pittsburgh Sleep Quality Index, Berlin Questionnaire, Insomnia Severity Index, Restorative Sleep Questionnaire, Perceived Stress Scale, Profile of Mood States, Daytime Fatigue Scale, Pain and Sleep Questionnaire, and Brief Pain Inventory at Baseline and Weeks 1, 2, 3, 4, and 8. Participants continually wore an Oura Ring to objectively assess sleep and daytime activity. The data were collected from January 2022 to April 2022 and were stored electronically. Repeated‐measures analyses of variance were used to analyze mean time differences.ResultsSelf‐reported sleep quality, perceived pain, perceived stress, mood, and daytime fatigue improved significantly from Baseline to Week 8, p's < 0.05. Objective Oura Ring validated the self‐reported sleep and daytime activity outcomes with improvements in sleep duration, time awake during the night, light sleep, deep sleep, and total sleep time, p's < 0.05. No significant time effects were evidenced for rapid eye movement sleep. No adverse events were reported.ConclusionThe grid mattress is a simple, noninvasive, and nonpharmacological intervention that improved adults sleep quality and health. Controlled trials are encouraged to examine the effects of this mattress in a variety of populations and environments.

show abstract

Section: Discussionsupporting

confidence: 84%

Effectiveness of a grid mattress on adults' sleep quality and health: A quasi‐experimental intervention study

Breus,

Hooper,

Lynch

et al. 2024

Health Science Reports

View full text Add to dashboard Cite

show abstract

“…As the number of N1 epochs is insufficient, the prediction probability of the N1 stage was still low, and the proposed model could not learn features of sleep spindle or k-complex separately. Therefore, for future works, we need to improve the performance of the N1 scoring using a rule-based method which reflects the N1 and N2 stage transition probability [50] or oversamples augmenting N1 epochs [51]. Also, the proposed model could be improved in performance by detecting the sleep spindle or k-complex and extracting features in future works.…”

Section: Discussionmentioning

confidence: 99%

Automatic Sleep Scoring Using Intrinsic Mode Based on Interpretable Deep Neural Networks

Baek

Lee

et al. 2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

Sleep experts manually label sleep stages via polysomnography (PSG) to diagnose sleep disorders. However, this process is time-consuming, requires a lot of labor from sleep experts, and makes the participants uncomfortable with the attachment of multiple sensors. Thus, automatic sleep scoring methods are essential for practical sleep monitoring in our daily lives. In this study, we propose an automatic sleep scoring model based on intrinsic oscillations in a single channel electroencephalogram (EEG) signal. We applied noise assisted bivariate empirical mode decomposition (NA-BEMD) to extract the intrinsic mode components and an attention mechanism in deep neural networks to provide weights to the components depending on their significance to sleep scoring. In particular, through the attention mechanism, we found an interpretable model by examining the oscillations that correspond to specific sleep stages. Therefore, we analyzed which frequency components are more weighted to a sleep stage than the others, when the model classifies sleep stages, and, as a result, confirmed that the model assigns convincing weights to the frequency components for each sleep stage. Additionally, the model consists of a one-dimensional convolutional neural network (1D-CNN) to extract features of an epoch and bidirectional long short-term memory (Bi-LSTM) to learn the sequential information of the consecutive epochs. We evaluated proposed model using Fpz-Cz, Pz-Oz, and F3-M2 channel EEG from three different public datasets (Sleep-EDF-2013, Sleep-EDF-2018 and demonstrated that our model yielded the best overall accuracy (Fpz-Cz: 86.22%-82.67%, Pz-Oz: 83.63%-80.15%, F3-M2: 84.20%) and macro F1-score (Fpz-Cz: 80.79%-76.90%, Pz-Oz: 76.89%-72.98%, F3-M2: 74.88%) compared with the state-of-the-art sleep scoring algorithms using single channel EEG. As a benchmark test, FIR bandpass filters were compared, and it was confirmed that NA-BEMD was superior to the traditional filters in all experiments, demonstrating that the proposed model is interpretable and a state-of-the-art sleep scoring algorithm.INDEX TERMS Electroencephalogram (EEG), automatic sleep scoring, deep neural networks, attention mechanism, bivariate empirical mode decomposition.

show abstract

“…Such zoned mattresses are commonly divided into ~3–10 parts according to the body contours, and the influence of zoned mattresses on sleep tends to vary by group. Varying the support pressure of the shoulder and hip of the mattress would improve sleep (Baek et al, 2022 ), especially for poor sleepers (Yu et al, 2020 ). A previous study using a zoned spring mattress (Verhaert et al, 2011 ) indicated that suitable support improved the sleep quality for the participants who spent most of the time in a lateral or prone posture.…”

Section: Introductionmentioning

confidence: 99%

Investigating the influence of an adjustable zoned air mattress on sleep: a multinight polysomnography study

Zhu

Zhou

et al. 2023

Front. Neurosci.

View full text Add to dashboard Cite

IntroductionA comfortable mattress should improve sleep quality. In this study, we sought to investigate the specific sleep parameters that could be affected by a mattress and explore any potential differences between the effects felt by each sex.MethodsA total of 20 healthy young adults (10 females and 20 males; 22.10 ± 1.25 years) participated in the experiments. A smart adjustable zoned air mattress was designed to maintain comfortable support, and an ordinary mattress was used for comparison. The participants individually spent four nights on these two mattresses in four orders for polysomnography (PSG) scoring. Sleep architecture, electroencephalogram (EEG) spectrum, and heart rate variability (HRV), which reflect the central and autonomic nervous activities, were used to compare the difference between the two mattresses.ResultsAn individual difference exited in sleep performance. The modes of influence of the mattresses were different between the sexes. The adjustable air mattress and the increase in experimental nights improved female participants' sleep efficiency, while male participants exhibited a smaller response to different mattresses. With an increasing number of experiment nights, both sexes showed increased REM and decreased N2 proportions; the N3 sleep proportion decreased in the male participants, and the heart rate decreased in both sexes. The performance of the EEG spectrum supports the above results. In addition, the adjustable air mattress weakened automatic nerve activity during N3 sleep in most participants. The female participants appeared to be more sensitive to mattresses. Experiment night was associated with psychological factors. There were differences in the results for this influence between the sexes.ConclusionThis study may shed some light on the differences between the ideal sleep environment of each sex.

show abstract

Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality

Cited by 5 publications

References 74 publications

Effectiveness of a grid mattress on adults' sleep quality and health: A quasi‐experimental intervention study

Effectiveness of a grid mattress on adults' sleep quality and health: A quasi‐experimental intervention study

Automatic Sleep Scoring Using Intrinsic Mode Based on Interpretable Deep Neural Networks

Investigating the influence of an adjustable zoned air mattress on sleep: a multinight polysomnography study

Contact Info

Product

Resources

About