SleepStageML is a machine learning algorithm designed to automate the staging of sleep by analyzing polysomnography (PSG) data. It uses advanced computational techniques to classify sleep stages with high accuracy, providing a valuable tool for sleep researchers and clinicians. This technology enhances the efficiency of sleep studies by reducing the time and manual effort required for sleep stage classification.
Creator
Beacon Biosignals
Information
Pediatrics or Adult
Adult
Speciality
Neurology
Modality
EEG
Training
More than 3 million individual stage decisions were analyzed