Ānāpāna: Neuro-engineering of Mindfulness


Authors

  • Carlos Diego Ferrin Bolaños Centro de Bioinformática y Biología Computacional de Colombia
  • Esteban Mauricio Correa Agudelo Centro de Bioinformática y Biología Computacional de Colombia
  • Andres Mauricio Hernandez Camacho Centro de Bioinformática y Biología Computacional de Colombia
  • Juan Diego Gómez Centro de Bioinformática y Biología Computacional de Colombia

DOI:

https://doi.org/10.22517/23447214.9951

Keywords:

Machine Learning, Electroencephalography (EEG), Neurofeedback, Functional Magnetic Resonance (fMRI), Psychotherapy, Signal Processing.

Abstract

Meditation benefits have been widely supported by many research works. It is considered a natural way of reducing stress, depression, and other anxiety disorders. However, meditation process is a breathe pursuing task that requires long time training to avoid the so-called mind wandering. In this work, we propose a neural-feedback system that detects when mind wanders and generates an audible signal, this way patient’s attention is recovered back again. Finally, we support our approach by testing the system on novice and advanced meditators.

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Published

2016-03-30

How to Cite

Ferrin Bolaños, C. D., Correa Agudelo, E. M., Hernandez Camacho, A. M., & Gómez, J. D. (2016). Ānāpāna: Neuro-engineering of Mindfulness. Scientia Et Technica, 21(1), 86–93. https://doi.org/10.22517/23447214.9951

Issue

Vol. 21 No. 1 (2016)

Section

Bioingeniería

License

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