Fuzzy classification of microstructural dynamics of human sleep

This work presents an automatic classifier for the microstructural dynamics of human sleep. Microstructure classification is based on phasic and transient events and has several clinical applications in sleep disorders and neurological diseases. The classifier uses EEG activities estimator, fuzzy logic to combine activities and a context based decision block. The system was tested in 5 records of healthy individuals and achieved a high degree of agreement with visual classification.