A web-based prototype utilizing physiological signal analysis to assist in identifying potential apnea events
Designed to streamline the analysis of physiological signals for sleep apnea research and preliminary screening.
Utilizes algorithms to detect potential apnea events in physiological signal data.
Highlights critical data points, automatically displaying the signal segments with the lowest SpO2 levels for focused review.
Built to process common physiological data formats used in clinical settings.
SleepWell is a web-based application specifically designed to make sleep apnea detection easy and accessible. Simply upload your physiological signals, and our intelligent system will automatically analyze them to detect potential sleep apnea indications. Get results fast and directly from your browser.
Upload physiological signal files in supported formats.
Our algorithm automatically processes the signal and detects patterns indicating apnea.
You'll instantly know — normal or indications found — complete with visualizations.
All detection results are securely saved in your dashboard to be monitored anytime.