EDC for sleep technology validation studies

Consumer sleep technology, such as rings, wristbands, bed sensors and headbands, is increasingly used in research and wellness, and the first question any serious user asks is how it compares with a reference. A standardised framework published in the journal Sleep in 2021 describes step-by-step analysis of sleep trackers against polysomnography, including discrepancy analysis, Bland-Altman plots and epoch-by-epoch agreement, and it comes with open-source code. Other authors caution that epoch-level agreement can look flattering because most of the night is sleep, so sensitivity, specificity and wake detection deserve attention.

Those methods tell you what the dataset must contain. For each night you need the reference summary (total sleep time, latency, wake after sleep onset, stage durations as scored), the device summary for the same night, the time basis for both, and any protocol deviation that night. Participants also vary: age, sex, body mass, skin tone and sleep disorder status are routine stratifiers, and device wear details matter. The EDC role is to keep these in one structured record per participant night so the statistician does not rebuild the link by hand. See digital biomarker validation study software for the general framework and EDC for diagnostic accuracy studies for the reference-standard logic.

Be honest about data volume. Raw accelerometer or PPG streams and PSG recordings are large files that belong in your analysis pipeline or the vendor's platform. Capture stores summary values entered by staff or synced through the native Oura connection, plus the clinical and diary data. It does not ingest raw device output or PSG signals, and no other wearable is claimed.

Whether a sleep technology is a general wellness product or a regulated medical device depends on its intended use and claims, and a validation study often feeds that decision. Check the regulator's current guidance for your intended claims; see FDA digital health technologies guidance and EDC for medical device clinical trials. If the device will be used as an endpoint in a drug trial, the evidence needed is different again.

Ethics review is normally required for a study that recruits people and records identifiable sleep data. Consent should say what the device records, who receives the data and whether the manufacturer may use it. For participants with suspected sleep disorders the clinical and safety pathway matters too; see EDC for sleep disorder clinical trials and EDC for wearable device studies.

Capture provides 21 CFR Part 11-aligned controls (field-level audit trail, e-signatures, role-based access), and data can be hosted in the EU (Frankfurt) or the USA (N. Virginia). Validated use is shared with the sponsor. This is not legal advice.