EEG Signal Complexity Analysis: MATLAB-Based Comparison of Comatose Patients and Normal Sleep Patterns

MATLAB-based platform for analyzing EEG complexity in comatose patients with comparative analysis against normal sleep states. Implementation includes entropy algorithms and signal processing techniques to quantify cognitive activity levels, where higher complexity typically indicates greater alertness and cognitive processing.