EEG Prognostication Using Coupled Oscillators Energy Exchange Model and Narrow Spectral Bands Superposition Approach

This article introduces the coupled oscillator energy exchange model (COEEM) which simulates experimentally observed human brain EEG signal dynamics. This model is in some ways similar to the Kuramoto model, but essentially differs in that the Kuramoto model oscillator amplitude is constant, while the COEEM model is dependent on the phase of the oscillators. The reasoning behind the COEEM model construction is based on an energy exchange and synchronization simulation in a localized brain area using (i) the coupled oscillators approach and (ii) experimental (non-filtered and filtered) EEG observations. For this purpose, we proposed 1) a novel coupled oscillators’ phase-locking mechanism (PLM) and 2) a unique and very narrow spectral band prognostication and superposition method of just 0.01-0.1 Hz. Key-Words: coupled oscillators, energy exchange model, Kuramoto model, synchronization, phase locking

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