Sleep in Late Pregnancy - Artificial Intelligence Development for the Detection of Disturbances and Disorders

Sleep in Late Pregnancy - Artificial Intelligence Development for the Detection of Disturbances and Disorders (SLeeP AID4): An Observational, In-Home, Single-Group, Feasibility Study

SLeeP AID4 is a single-group, single-arm, Canada-wide, non-randomised, unblinded, in-home, observational study to prospectively collect and build a data set of natural sleep behaviour and physiology in maternal-fetal dyads (and bed partners, if applicable) in the third trimester of pregnancy in the home setting and subsequently investigate the feasibility of using computer vision technology (CVT) to monitor sleep during and across the third trimester of pregnancy in the home setting for research purposes by eliciting participants' attitudes toward CVT and training, validating, and testing a CVT model to accurately, unobtrusively, non-invasively, and objectively detect and quantify various sleep behaviours, disturbances, and disorders.

Participant Inclusion Criteria:

• Healthy (see American Society of Anesthesiologists Physical Status [ASA-PS] classification; participant must be ASA-PS class II or lesser)
• Have a singleton pregnancy
• Be in the third trimester (gestational age between 28 weeks and 0 days through 40 weeks and 6 days, inclusive, by first-trimester ultrasound)
• Live in a home with a 2.4 GHz Wi-Fi network
• Sleep in a bed at night (i.e., not a La-Z-Boy chair or similar)

Participant's Bed Partner (if applicable) Inclusion Criteria:

• Sleep in the same bed as the pregnant study participant.
• Healthy (see American Society of Anesthesiologists Physical Status [ASA-PS] classification; participant must be ASA-PS class II or lesser)

Participant Exclusion Criteria:

• Non-English speaking, reading, or writing
• ASA-PS class III or greater

Participant's Bed Partner (if applicable) Exclusion Criteria:

• Non-English speaking, reading, or writing
• ASA-PS class III or greater