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A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank
Nowadays, the hectic work life of people has led to sleep deprivation. This may further result
in sleep-related disorders and adverse physiological conditions. Therefore, sleep study has …
in sleep-related disorders and adverse physiological conditions. Therefore, sleep study has …
Automatic sleep stage classification with optimized selection of eeg channels
Visual inspection of Polysomnography (PSG) recordings by sleep experts, based on
established guidelines, has been the gold standard in sleep stage classification. This …
established guidelines, has been the gold standard in sleep stage classification. This …
A New Approach for Sleep Stage Identification Combining Hidden Markov Models and EEG Signal Processing
Purpose Sleep constitutes a third of human life, underscoring its importance in health-
related and psychophysiological research. Monitoring sleep stage evolution is critical for …
related and psychophysiological research. Monitoring sleep stage evolution is critical for …
[PDF][PDF] Machine Learning Approach for Vigilance State Classification in Mice
A Muhury - 2021 - researchgate.net
In recent times various studies reported significant achievements for automatic vigilance
detection and overcome the drawback of REM stage detection. Two models that reported …
detection and overcome the drawback of REM stage detection. Two models that reported …