Fuzzy Logic and Rough Set Theory. Rather than analyzing days and days of complex EEGs that in their native form are incompatible for artificial intelligence systems
We separate the signals using Discrete Finite Automata. Then leverage Fuzzy Logic and Rough Set Theory to split the EEG signal to extract temporal duration and Riemann values. Each point in the cluster comprises one instance of temporal duration. A centroid is extracted whereby that single dot is placed into a moving system.
Representing many hours of EEGs compatible for machine learning.