Design of a Neurofeedback Training System for Meditation Based on EEG Technology

Revista Facultad de Ingeniería

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Title Design of a Neurofeedback Training System for Meditation Based on EEG Technology
Diseño de un sistema de retroalimentación neuronal para el entrenamiento de la meditación basado en electroencefalograma
 
Creator Nieto-Vallejo, Andrés Eduardo
Ramírez-Pérez, Omar Fernando
Ballesteros-Arroyave, Luis Eduardo
Aragón, Angela
 
Subject Attention
Electroencephalogram
Meditation
Neurofeedback
Relaxation
Training
Atención
Electroencefalograma
Meditación
Retroalimentación Neuronal
Relajación
Entrenamiento
 
Description Meditation is a form of mental training that has therapeutic potential and cognitive benefits that may enhance attention, mental well-being, and neuroplasticity. However, the learning process is not easy because meditators do not receive immediate feedback that lets them know if they are correctly doing the activity. EEG Neurofeedback training is one of the techniques to train brain self-regulation and it has the potential to increase the effectiveness of meditation. However, the benefits greatly differ between subjects with a high percentage of inefficacy. In this work, an EEG Neurofeedback Training System is proposed based on user-centered design methodology to provide real-time performance feedback to meditators to increase levels of attention and relaxation through a visual, sound and smell stimuli interface. Levels of attention and relaxation of nine participants were measured with a mobile Neurosky EEG headset biosensor during meditation practice to analyze the incidence of each type of stimuli during activity. Visual stimuli feedback was able to increase attention levels of 78% of the participants by 11.8% compared to a meditation session without any stimuli. The sound stimuli feedback was able to increase the relaxation levels of 44.4% of the participants by 16% compared to a session without any stimuli. These results might bring new insights for the design of a neurofeedback system interface for meditation. Further research on neurofeedback training interfaces for meditators is suggested to validate these results with more participants.
La meditación es una forma de entrenamiento mental que tiene potencial terapéutico y beneficios cognitivos que pueden mejorar la atención, el bienestar mental y la neuroplasticidad en el cerebro. Sin embargo, el proceso de aprendizaje no es fácil porque los meditadores no reciben una retroalimentación inmediata que les permita saber si están realizando correctamente la actividad. El entrenamiento basado en retroalimentación neuronal es una de las técnicas para entrenar la autorregulación del cerebro y tiene el potencial de aumentar la efectividad de la meditación. Sin embargo, los beneficios difieren mucho entre sujetos con un alto porcentaje de ineficacia. En este trabajo, se propone un Sistema de Entrenamiento de Retroalimentación Neuronal basado en una metodología de diseño centrada en el usuario para proporcionar retroalimentación de desempeño en tiempo real a los meditadores para aumentar los niveles de atención y relajación a través de una interfaz de estímulos visuales, sonoros y olfativos. Los niveles de atención y relajación de nueve participantes se midieron con una diadema Neurosky EEG durante la práctica de meditación para analizar la incidencia de cada tipo de estímulo durante la actividad. La retroalimentación de estímulos visuales pudo aumentar los niveles de atención del 78% de los participantes en un 11,8% en comparación con una sesión de meditación sin ningún estímulo. La retroalimentación de los estímulos sonoros logró aumentar los niveles de relajación del 44,4% de los participantes en un 16% en comparación con una sesión sin ningún estímulo. Estos resultados podrían aportar nuevos conocimientos para el diseño de una interfaz de sistema de retroalimentación neuronal el entrenamiento de la meditación. Se sugiere realizar más investigaciones sobre las interfaces de entrenamiento de retroalimentación neuronal para meditadores con el fin de validar estos resultados con más participantes.
 
Publisher Universidad Pedagógica y Tecnológica de Colombia
 
Date 2021-03-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículo de revista
 
Format application/pdf
application/pdf
 
Identifier https://revistas.uptc.edu.co/index.php/ingenieria/article/view/12489
10.19053/01211129.v30.n55.2021.12489
 
Source Revista Facultad de Ingeniería; Vol 30 No 55 (2021): January-March 2021 (Continuous Publication); e12489
Revista Facultad de Ingeniería; Vol. 30 Núm. 55 (2021): Enero-Marzo 2021 (Publicación Continua); e12489
2357-5328
0121-1129
 
Language eng
spa
 
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https://revistas.uptc.edu.co/index.php/ingenieria/article/view/12489/10553
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/12489/10554
 
Rights Copyright (c) 2021 Andrés Eduardo Nieto-Vallejo, M.Sc., Omar Fernando Ramírez-Pérez, M.Sc., Luis Eduardo Ballesteros-Arroyave, Angela Aragón
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0
 

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