Eeg And Sleep Physiology Ppt May 2026

Introduction to EEG and Sleep Physiology

• Automated sleep staging using supervised models (CNNs, RNNs); deep learning methods achieve high accuracy but require careful cross-validation.

Paradoxically, the EEG during REM resembles wakefulness, showing "sawtooth" waves and low-voltage, mixed-frequency activity. While the brain is highly active (dreaming), the body experiences muscle atonia to prevent the physical enactment of dreams. Clinical and Research Significance Monitoring these waveforms through Polysomnography (PSG) eeg and sleep physiology ppt

Filtering, sampling, and artifact considerations: