EZScore Sleep Stager
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AASM-Style Sleep Staging from CGX Patch EEG: Converts two-channel forehead EEG into standard sleep-stage outputs: Wake, N1, N2, N3, and REM.
Explicit Artifact Classification: Identifies noisy or unreliable EEG segments and labels them as ART instead of forcing them into a sleep stage.
Optional Multimodal Context: Synchronizes overlapping SpO₂, heart rate, movement, posture, and light exposure data when available.
Interactive Report and CSV Export: Generates an interactive HTML report and a per-epoch CSV file for downstream analysis.
Fast Local Processing: Processes overnight recordings locally, typically within minutes.
858-864-9400
Sales@CGXSystems.com
8445 Camino Santa Fe, Suite 213
San Diego, CA 92121.
Products & Software
About CGX
858-864-9400
Sales@CGXSystems.com
8445 Camino Santa Fe, Suite 213
San Diego, CA 92121.
EZScore is an automated sleep staging plug-in designed for CGX Patch EEG. It uses machine learning to classify each 30-second EEG epoch into AASM-style sleep stages: Wake, N1, N2, N3, and REM. An additional ART class explicitly identifies noisy or unreliable EEG segments that should not be interpreted as valid sleep-stage data.
EEG remains the core signal for sleep staging. When companion data are available, EZScore automatically aligns overlapping recording windows and adds synchronized context such as SpO₂, heart rate, movement, posture, and light exposure. This allows researchers to interpret EEG-defined sleep architecture alongside relevant physiological and environmental signals.
Traditional polysomnography relies on multi-channel recordings, technician setup, and manual scoring. EZScore brings automated AASM-style staging into a simpler wearable EEG workflow, making it well suited for at-home, longitudinal, and high-throughput sleep research.
Intended Use: For Research Use Only. The EZScore Sleep Stager is not intended for use in the diagnosis, treatment, cure, mitigation, or prevention of disease or other medical conditions. Not intended for clinical or patient-care use.
