Sensory-Motor Systems Lab, ETH Zurich
Zurich, 8092, Switzerland
NCT Number: NCT04053738
Habitual snoring is a widespread complication. Most snorers snore predominately when sleeping in supine position. Therefore, therapeutic interventions force snorers to avoid supine position. Devices that restrict the sleeping position or raise alarms when the user obtains the supine position cause discomfort or disrupt sleep resulting in low compliance. Therefore, anti-snoring mechanisms, which lift the trunk of the user without disturbing sleep, have been proposed.
We set out to investigate whether individual interventions provided by beds with lifting mechanisms are able to stop snoring within three minutes (success rate) and whether the bed reduces the snoring index (number of total snores divided by total time in bed). In addition, we investigat whether the trunk elevation provided by the bed is interfering with the subjective sleep quality assessed using the Groningen Sleep Quality Score.
Subjects are observed for four nights (adaptation, baseline, and two intervention nights). During intervention nights, the bed lifts the trunk of the user in closed-loop manner. Subjects are divided in three groups (non-snorers, snorer group one, and snorer group two). Non-snorers are lifted by the bed at random time points during the night. In snorer group one, a stepwise increase of the bed inclination is compared with going directly to a randomly selected angle. In snorer group two, the influence of a small inclination angle (10°) and a big inclination angle (20°) is compared..
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Notify Me18 year–100 year
All sexes
Interventional
Not applicable
Zurich, 8092, Switzerland
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The mattress shape is adjusted using a custom made intelligent anti-snoring bed, which is able to detect snoring sound and change the position of the user whenever snoring occurs.
Time frame: whole night - 4 nights
Number of episodes of snoring that are terminated by intervention.
Snoring activity was monitored using a portable home-monitoring device (Apnea Link plus, purchased from ResMed, Switzerland). This device records oxygen saturation, nasal airflow, and breathing effort. The device comes with a software package that automatically scores the data according to the sleep scoring rules of the American Academy of Sleep Medicine (AASM). Since audio based detection has been reported to be the most reliable way of snoring detection , we also used a sound level meter (XL2 Audio and acoustic Analyzer, purchased from NTi Audio, Lichtenstein) for manual visual-audio scoring of snoring sound. The sound level meter was placed approximately in the position where you would usually expect the head of the bed partner. Manual visual-audio scoring of the data collected with the noise level meter was performed using the XL2 data explorer.
Time frame: upon awakening - 4 nights
Subjective Sleep Quality was assessed using the standardized Groningen Sleep Quality Scale (GSQS). This questionnaire consists of 15 questions, which are to be answered with yes or no. The maximum possible score of 14 indicates a poor sleep the preceding night. Within the study, we used the original English version of the questionnaire.
Swiss Federal Institute of Technology
Other
An Intelligent Bed To Monitor And Reduce Snoring
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