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.
bioRxiv · May 13, 2020 · PreprintBioengineering