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Applications of quantum mechanics and physics-based calculus allow for advanced mathematical modeling of source localization estimations. Because EEG waveforms can be modeled as continuous or discrete quantum matter, algorithmic models that estimate current source density must also consider the statistical properties of the dipole fields that are etiologically relevant to the reflected waveforms. Further applications of quantum physics to the electroencephalogram (EEG) suggest that neurodynamic behavior that originates in thalamo-cortical regions compared to cortico-cortical regions yield divergent 3-dimensional dispersions of wave forms and quantum energy. Evaluations of the dispersion of quantum energy and dipole magnetic fields according to classical physics and electromagnetism indicate that the area of tissue by which the oscillatory mechanisms are thought to originate inherently influences the algorithmic modeling and estimations current source density. Principles and algorithms related to classical physics are included within this paper to evaluate limitations of algorithmic models of source localization and the inverse problem.

biomedical engineering

Applications of Quantum Mechanics, Laws of Classical Physics, and Differential Calculus to Evaluate Source Localization According to the Electroencephalogram