![]() ![]() Using the 30-second epoch data, standard sleep metrics were calculated. Studies have shown good agreement between this approach and polysomnography. High-resolution magnitude and duration data of gross movements, micromovements, and full breathing cycles are captured and transformed into 30-second epoch sleep stage data (Wake, Light, Deep, rapid eye movement ) using proprietary algorithms. ![]() It uses ultralow-power radiofrequency waves to monitor body movement while in bed this measurement is unaffected by bedding or nightwear. Objective sleep was measured with the SleepScore Max (SleepScore Labs), a noncontact monitoring device using respiratory and motion signals to detect sleep. The app quantifies snoring duration exceeding the set level of sensitivity and transforms the percentage of the night during which the user snored into a snore score. This consumer app captures sounds using the microphone of the mobile device and identifies snoring using artificial intelligence–based algorithms that filter out nonsnoring sounds. Objective snoring was measured using the Do I Snore or Grind app (Version 1.2.4(2) SleepScore Labs) on an Apple iPod touch sixth generation (Model A1574 Apple Inc) with snoring sensitivity set to high and grinding sensitivity set to low. This was measured objectively over 1000 nights of data collected using commercially available trackers as well as by self-report. The inclined position was hypothesized to reduce snoring and improve sleep. A mild degree of head-of-bed elevation, compared to larger angles, is most likely to be well tolerated while still being effective according to laboratory studies. The 12-degree angle is sufficient to elevate the head while still being comfortable for sleep. In this study, using an adjustable bed base to sleep with the upper body at a 12-degree incline was compared to sleeping in a flat position. It provides insight into the effectiveness of the intervention under real-life conditions, yielding ecologically valid results while still capturing objective data. This method of in-home research using innovative digital health tools has an advantage over traditional sleep laboratory studies. The accuracy of new unobtrusive sleep and snoring measurement technologies allows intervention studies to be conducted in research participants’ own bedrooms and may contribute new evidence-based knowledge to the field of applied sleep and snoring research. However, evidence is lacking in nonclinical populations and settings. Similarly, a study of a bed that automatically lifted the trunk of the user upon detection of snoring found that it was able to reduce episodes of snoring in the laboratory. More recently, Souza et al showed that head-of-bed elevation using a laboratory bed reduced the severity of OSA without interfering with sleep architecture. For example, Skinner et al reported mixed results after testing a shoulder-head elevation pillow for the management of obstructive sleep apnea (OSA). These approaches have shown some effectiveness in patients with sleep apnea and other disorders. ![]() This can include repositioning the upper body to an inclined position to open the upper airways, which can be achieved using specialized pillows, wedges, or bed bases. ![]() Changing one’s sleeping posture has long been known as a way to reduce snoring. Snoring is common and has been associated with poor sleep, increased risk of coronary artery disease, depressive disorders, and other health-related problems. ![]()
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