Functional 3D model of the brain from 2D ECG signals


  • Washington X. Quevedo Inmersoft
  • Gregory Celis



2d visualization, real time signals, emotiv-epoc, cognitive study, 3d brain signals


This article shows the investigation of the use of the signals obtained from the ECG, in order to express them in a 3D model of the brain. Starting from obtaining raw data of the values ​​of the waves obtained in real time, and by assigning these values ​​in the order of milliwatts to and from the brain areas where the physical electrodes of the Emotiv Epoc sensor are located, they can be illuminated. and animate the active areas of the patient's brain while he is exposed to an experiment to test his ability to identify objects, solve mazes, and keep his mind at rest. The visualization in the 3D model consists in the first instance of the illumination of the areas where the electrical impulses originate, to culminate with the inferred animation of the origin and destination of the electrical impulses considering the didactic approach in this first stage of the research. This approach aims to be the basis of in-depth research to obtain animations and visualization of brain data in real time and using virtual reality and augmented reality technology for greater immersion in the visualization of non-numerical data in 3D.


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How to Cite

Quevedo, W. X., & Celis, G. (2024). Functional 3D model of the brain from 2D ECG signals. International Journal of Engineering Insights, 2(1), 30–35.




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