White Paper
Defining Four Categories of Wearable Technology for Sleep Disorders
1. Pre-Screening & Educational Wearables (LLM-Integrated, Home-Based)
Empower individuals to learn about their sleep health and recognize potential risks.
- Users: General public, wellness coaches, and non-specialist healthcare providers.
- Features: Motion sensors, heart rate, oxygen saturation, Al-driven sleep education.
- Standards Needed: Accuracy thresholds, transparency on limitations, interoperability with clinical systems.
2. Wearable Home Sleep Testing (HST) for Family Doctors
Bridge primary care and sleep specialists by enabling screening and partial diagnosis.
- Users: Family doctors, community clinics.
- Features: Portable EEG, SpOo sensors, airflow sensors, Al cloud algorithms.
- Standards Needed: FDA/CE validation against PSG, defined benchmarks, referral protocols.
3. Wearables for Treatment Follow-Up by Sleep Specialists
Provide longitudinal data during treatment to optimize interventions.
- Users: Sleep specialists, multidisciplinary teams.
- Features: CPAP adherence monitoring, EEG sleep stage analysis, Al alerts.
- Standards Needed: EMR integration, GDPR/HIPAA compliance, calibration intervals.
4. Long-Term Monitoring by Family Doctors and Families
Extend care beyond the clinic for sustainable, community-based sleep health.
-Users: Family doctors, caregivers, patients' families.
- Features: Simplified dashboards, predictive analytics, alerts to doctors.
- Standards Needed: User-friendly visualization, escalation pathways, multilingual access.
"Primary Reference": Chiang AA, Canapari C, Goldstein C and Baron K (2026) Editorial: The promise of sleep technology. Front. Neurosci. 20:1849903. doi: 10.3389/fnins.2026.1849903.