BioengineeringbioRxivPreprint
Automatic Wake-Sleep Stages Classification using Electroencephalogram Instantaneous Frequency and Envelope Tracking
This paper introduces a Kalman filtering-based method to track EEG instantaneous frequency and envelope for wake-sleep stage classification, achieving higher accuracy and lower variability than existing techniques.
DOI 10.1101/2020.05.13.092841