SleepStageML

SleepStageML

Description

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

Github

Publication

FDA

Scroll to Top