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.
Key Findings
Results
Newborns exhibited two common types of sleep bouts: light-only bouts and full sleep cycles.
Full sleep cycles consisted of awake → light sleep → deep sleep → light sleep → awake sequences.
Sample included 39 newborns (51.30% female, mean age = 9.38 days old, SD = 6.40).
Data were collected over fourteen days during all sleep periods in the home.
Results
On average, sleep bouts began around 11:48 AM, and newborns spent approximately 172 monitoring minutes awake, 536 minutes in light sleep, and 54 minutes in deep sleep per day.
Mean daily awake time was approximately 172 monitoring minutes.
Mean daily light sleep time was approximately 536 minutes.
Mean daily deep sleep time was approximately 54 minutes.
Average sleep bout onset time was approximately 11:48 AM.
Results
The duration of deep sleep and the number of full sleep cycles increased each week over the assessment period.
Both deep sleep duration and number of full sleep cycles increased on a weekly basis.
The duration of time spent awake and in light sleep did not change over the assessment period.
Assessment period spanned fourteen days of monitoring.
Results
Daytime sleep minutes decreased over the assessment period, while nighttime sleep minutes did not change.
Nighttime sleep minutes remained stable across the fourteen-day monitoring period.
Daytime sleep minutes showed a decrease over the assessment period.
This pattern suggests an early emergence of circadian or sleep consolidation processes in the newborn period.
Conclusions
The Owlet Dream Sock demonstrated acceptable feasibility for capturing high-density newborn sleep data in naturalistic home environments.
The device was worn during all sleep periods across fourteen days.
The study included 39 newborns monitored in their homes, representing a naturalistic setting.
The device was able to capture developmental changes in sleep patterns, including changes in deep sleep and full sleep cycle frequency.
Few existing methods capture high-density sleep data in naturalistic settings during the newborn period, highlighting the utility of this consumer wearable.
What This Means
This research suggests that a consumer wearable device called the Owlet Dream Sock can be used to track newborn sleep patterns at home over the first weeks of life. In a study of 39 newborns monitored for 14 days, researchers found that babies typically had two kinds of sleep episodes: shorter ones involving only light sleep, and longer full cycles that included deep sleep. On a typical day, newborns spent about 172 minutes awake, 536 minutes in light sleep, and 54 minutes in deep sleep, with sleep bouts beginning on average around midday.
The study also found that over the two-week monitoring period, the amount of deep sleep and the number of complete sleep cycles increased week by week, while time spent awake or in light sleep stayed the same. Daytime sleep decreased over the period, but nighttime sleep remained stable. These findings suggest that even in the first weeks of life, measurable changes in sleep organization are already occurring.
This research matters because tracking newborn sleep at home in detail has historically been difficult, typically requiring lab-based equipment. This study suggests that an off-the-shelf consumer device can feasibly collect meaningful, high-density sleep data in real-world home settings, potentially enabling larger-scale studies of how early sleep patterns relate to infant development and health outcomes.
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Speck B, Matsunaga E, El-Arabaty S, Aringer A, Deboeck P, Salisbury A, et al.. (2026). Assessing the feasibility of a wearable consumer device for capturing newborns' sleep patterns in naturalistic environments.. Infant behavior & development. https://doi.org/10.1016/j.infbeh.2026.102200