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Assessing the feasibility of a wearable consumer device for capturing newborns' sleep patterns in naturalistic
Bailey Speck1, Eric Matsunaga1, S Amr El-Arabaty1
1Department of Psychology, University of Oregon, United States.
Insights
The Owlet Dream Sock effectively captures newborn sleep patterns, showing developmental changes like increased deep sleep over time. This wearable device offers feasible, high-density sleep data in natural home settings.
Area of Science:
- Neonatal development
- Sleep science
- Wearable technology in pediatrics
Background:
- Newborn sleep is crucial for neurological and physiological development.
- Limited methods exist for high-density sleep data collection in naturalistic newborn settings.
- Understanding infant sleep patterns is key to monitoring developmental trajectories.
Purpose of the Study:
- To assess the Owlet Dream Sock's utility for capturing newborn sleep patterns, timing, and duration at home.
- To evaluate the feasibility of using wearable technology for high-density infant sleep monitoring.
- To identify developmental changes in sleep architecture during the early weeks of life.
Main Methods:
- Thirty-nine newborns (M age = 9.38 days) wore the Owlet Dream Sock for 14 days.
- The device captured high-density sleep data, including sleep bouts and cycles.
- Sleep patterns were analyzed for changes over the two-week monitoring period.
Main Results:
- Newborns exhibited light-only and full sleep cycles (including deep sleep).
- Daily sleep included approximately 172 min awake, 536 min light sleep, and 54 min deep sleep.
- Deep sleep duration and full sleep cycle count increased weekly; daytime sleep decreased.
Conclusions:
- The Owlet Dream Sock demonstrates acceptable feasibility for collecting high-density newborn sleep data.
- This technology can capture developmental shifts in infant sleep patterns during the first weeks.
- Wearable sensors offer a promising avenue for non-invasive, longitudinal sleep research in neonates.
Abstract:
Newborn sleep plays a vital role in early neurological and physiological development and may have lasting consequences for infants' developmental trajectories. However, few methods capture high-density sleep data in naturalistic settings during the newborn period. We address this by assessing the utility of the Owlet Dream Sock for capturing sleep patterns, timing, and duration in the home. Thirty-nine newborns (51.30% female, M age = 9.38 days old, SD = 6.40) wore the Owlet Dream Sock for fourteen days during all sleep periods. Newborns exhibited two common types of sleep bouts, light-only bouts (awake → light sleep → awake sequences) and full sleep cycles (awake → light sleep → deep sleep → light sleep → awake sequences). On average, sleep bouts began around 11:48 AM, and newborns spent approximately 172 monitoring minutes awake, 536 in light sleep, and 54 in deep sleep per day. The duration of time spent awake and in light sleep did not change over the assessment period; however, both the duration of deep sleep and the number of full sleep cycles increased each week. While nighttime sleep minutes did not change, daytime sleep minutes decreased. The Owlet Dream Sock shows acceptable feasibility for capturing high-density newborn sleep data to capture developmental changes in sleep patterns over the first weeks of life.
