Analyzing EEG data during opium addiction treatment using a fuzzy logic-based machine learning model

The flowchart illustrates the analysis of EEG data during opium addiction treatment using fuzzy logic-based machine learning. It includes the collection of data from opioid-addicted and healthy males, psychological evaluations, EEG data analysis with noise removal, and feature extraction. A fuzzy logic machine learning model is then developed for treatment management, which identifies levels of distress and differences in the complexity of neural activity. (Figure presented.)