Sleep Apnea Detection uses AI algorithms and sensor-based technologies to analyse data from wearables and monitoring devices, detect breathing interruptions during sleep (apnea and hypopnea), and support earlier diagnosis and remote patient monitoring.
Sleep Apnea Detection is an AI-powered solution that identifies and monitors sleep apnea events using advanced algorithms and sensor-based technologies. By analyzing data from wearables, sleep trackers, and specialized monitoring devices, it detects interruptions in breathing - apnea (complete cessation) and hypopnea (partial stoppage) - during sleep. Continuous signals and automated analysis help clinicians diagnose disorders earlier and manage patients remotely.
Analyze overnight breathing and oxygen trends to surface apnea and hypopnea events.
Collect heart rate, SpO₂, and breathing signals from wearables and sleep trackers.
Flag irregular breathing and oxygen desaturation automatically using machine learning.
Generate sleep quality insights and apnea event summaries.
Enable healthcare providers to track patients continuously from home over time.
It is applied across home-based sleep monitoring, clinical sleep assessment, and long-term chronic care management through remote patient monitoring and telehealth services.
Track patients at home using wearables, with continuous overnight monitoring and no need for in-clinic sleep studies.
Give clinicians continuous breathing and oxygen data to support diagnosis, severity scoring, and treatment follow-up.
Monitor at-risk patients over time and share sleep health insights with care teams through telehealth workflows.
The solution combines wearable data collection, AI-powered breathing event detection, actionable sleep health insights, and continuous provider monitoring to support comprehensive sleep apnea management.
Gather heart rate, SpO₂, airflow, and movement signals from wearables, sleep trackers, and monitoring devices.
Improve patient care through convenient remote monitoring, earlier detection and intervention, and personalised sleep health management based on continuous patient data.
Monitor patients from home with wearables, avoiding costly and inconvenient overnight clinic stays.
Detect sleep apnea earlier from continuous data, enabling timely intervention and lower long-term health risk.
Turn each patient's sleep data into tailored insights and treatment adjustments over time.
User Action:
Autonomous Action:
User Action: The patient wears the device overnight; data streams automatically with no manual input.
Autonomous Action:
User Action:
Autonomous Action: