Magnap Sleep Apnea offers a cloud‑enabled platform that uses an FDA‑cleared wearable nasal pressure sensor with pulse oximetry to conduct at‑home sleep studies. AI algorithms process the data in real time to generate a clinically validated apnea‑hypopnea index and automated report, which clinicians can access via a HIPAA‑compliant portal and integrate with EHR systems for remote therapy titration.
Funding
Funding not disclosed
Founders
Product
Problem
Sleep apnea often goes undiagnosed because conventional polysomnography requires overnight stays in specialized sleep labs, creating logistical barriers and delayed treatment. Untreated breathing interruptions degrade oxygen saturation, increase cardiovascular risk, and impair daytime productivity. Patients and clinicians lack continuous, objective data to personalize therapy and monitor adherence outside the clinic.
Solution
Magnap Sleep Apnea delivers an end‑to‑end, cloud‑enabled platform that combines a FDA‑cleared, wearable respiratory sensor with AI‑driven signal processing to perform at‑home sleep studies. The device captures airflow, thoracic effort, oxygen saturation, and snore acoustics, transmitting encrypted data in real time to a secure analytics engine. Proprietary machine‑learning models classify apnea‑hypopnea events, generate a clinically validated apnea‑hypopnea index (AHI), and produce a concise report accessible via a HIPAA‑compliant web portal. Integrated therapy modules recommend CPAP or mandibular advancement device settings, and the system tracks usage, leak rates, and residual events to enable remote titration by sleep specialists. Seamless APIs allow electronic health record (EHR) integration and automated billing, reducing administrative overhead and accelerating care pathways.
Target Audience
Primary customers are sleep clinics, pulmonology practices, and telehealth providers that conduct diagnostic sleep studies and manage CPAP therapy for adult patients with obstructive sleep apnea. The platform also serves occupational health programs seeking scalable screening for high‑risk employee populations.
Features
- Wearable, single‑use nasal pressure sensor with built‑in pulse oximetry and accelerometer for multi‑modal respiratory monitoring
- Edge‑optimized AI pipeline that detects apneas, hypopneas, and respiratory effort‑related arousals with >95% sensitivity compared to in‑lab polysomnography
- Real‑time data encryption (TLS 1.3) and storage in a HIPAA‑compliant cloud environment with role‑based access controls
- Automated AHI calculation and standardized reporting format compatible with AASM guidelines
- Remote therapy titration dashboard that visualizes leak, pressure, and residual event trends for clinicians
- Bi‑directional FHIR API for seamless integration with major EHR systems and payer portals
- Mobile app for patients to receive sleep hygiene tips, device setup guidance, and adherence notifications
- Predictive maintenance alerts for sensor degradation based on signal quality metrics