The Application of Owlet Smart Sock to Monitor Sleep Patterns in At-risk Infants

• In Event: 2-011 - Interactive Poster Session and Reception

Abstract

Research Question: We aim to examine the validity and accessibility of the Owlet Smart Sock (OSS) in a pilot sample of infants as a part of an ongoing longitudinal study tracking a national cohort of infants with Down syndrome (DS; n = 56) and typically developing (TD; n = 48) at four time points: 6-months, 12-months, 18-months, and 24-months of age. This group presents as an ideal sample to test the efficacy of the OSS because of the extent of their sleep difficulties, which are extensive and life-long.

Preliminary Analyses: As expected, infants with DS had significantly lower sleep efficiencies compared to TD infants (p = 0.006) based on actigraphy. In this poster, we will present the relationship between established actigraphy measures and the variables generated by the OSS. We will also discuss positives and negatives of gathering research data from a commercial company. While this device generates a range of variables, at the time of our data collection it had some limitations, including 1) limited accessibility to raw data in real time, 2) data logging for 24 hours, and 3) data collection inconsistency for infants ages 12-months and older.

Hypothetical Alternative Data: The OSS is a rich source of data. Therefore, ease of access to interpretable data is valuable to short- and long-term monitoring of sleep parameters among at-risk infants up until 12 months. Any potential data should include similar physiological and sleep parameters among infants with developmental delay to further pinpoint critical periods for sleep’s influence on development.

Authors

• Payal Khosla, University of Arizona
  Presenting Author

• Bianca Demara, University of Arizona

• Jamie O. Edgin, University of Arizona