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Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients

Neurofeedback is a self-regulation technique that can be applied to learn to voluntarily control cerebral activity in specific brain regions. In this work, a Transcranial Doppler-based configurable neurofeedback system is proposed and described. The hardware configuration is based on the Red Pitaya...

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Autores principales: Rey, Beatriz, Rodríguez, Alejandro, Lloréns-Bufort, Enrique, Tembl, José, Muñoz, Miguel Ángel, Montoya, Pedro, Herrero-Bosch, Vicente, Monzo, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069097/
https://www.ncbi.nlm.nih.gov/pubmed/30011900
http://dx.doi.org/10.3390/s18072278
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author Rey, Beatriz
Rodríguez, Alejandro
Lloréns-Bufort, Enrique
Tembl, José
Muñoz, Miguel Ángel
Montoya, Pedro
Herrero-Bosch, Vicente
Monzo, Jose M.
author_facet Rey, Beatriz
Rodríguez, Alejandro
Lloréns-Bufort, Enrique
Tembl, José
Muñoz, Miguel Ángel
Montoya, Pedro
Herrero-Bosch, Vicente
Monzo, Jose M.
author_sort Rey, Beatriz
collection PubMed
description Neurofeedback is a self-regulation technique that can be applied to learn to voluntarily control cerebral activity in specific brain regions. In this work, a Transcranial Doppler-based configurable neurofeedback system is proposed and described. The hardware configuration is based on the Red Pitaya board, which gives great flexibility and processing power to the system. The parameter to be trained can be selected between several temporal, spectral, or complexity features from the cerebral blood flow velocity signal in different vessels. As previous studies have found alterations in these parameters in chronic pain patients, the system could be applied to help them to voluntarily control these parameters. Two protocols based on different temporal lengths of the training periods have been proposed and tested with six healthy subjects that were randomly assigned to one of the protocols at the beginning of the procedure. For the purposes of the testing, the trained parameter was the mean cerebral blood flow velocity in the aggregated data from the two anterior cerebral arteries. Results show that, using the proposed neurofeedback system, the two groups of healthy volunteers can learn to self-regulate a parameter from their brain activity in a reduced number of training sessions.
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spelling pubmed-60690972018-08-07 Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients Rey, Beatriz Rodríguez, Alejandro Lloréns-Bufort, Enrique Tembl, José Muñoz, Miguel Ángel Montoya, Pedro Herrero-Bosch, Vicente Monzo, Jose M. Sensors (Basel) Article Neurofeedback is a self-regulation technique that can be applied to learn to voluntarily control cerebral activity in specific brain regions. In this work, a Transcranial Doppler-based configurable neurofeedback system is proposed and described. The hardware configuration is based on the Red Pitaya board, which gives great flexibility and processing power to the system. The parameter to be trained can be selected between several temporal, spectral, or complexity features from the cerebral blood flow velocity signal in different vessels. As previous studies have found alterations in these parameters in chronic pain patients, the system could be applied to help them to voluntarily control these parameters. Two protocols based on different temporal lengths of the training periods have been proposed and tested with six healthy subjects that were randomly assigned to one of the protocols at the beginning of the procedure. For the purposes of the testing, the trained parameter was the mean cerebral blood flow velocity in the aggregated data from the two anterior cerebral arteries. Results show that, using the proposed neurofeedback system, the two groups of healthy volunteers can learn to self-regulate a parameter from their brain activity in a reduced number of training sessions. MDPI 2018-07-14 /pmc/articles/PMC6069097/ /pubmed/30011900 http://dx.doi.org/10.3390/s18072278 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rey, Beatriz
Rodríguez, Alejandro
Lloréns-Bufort, Enrique
Tembl, José
Muñoz, Miguel Ángel
Montoya, Pedro
Herrero-Bosch, Vicente
Monzo, Jose M.
Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients
title Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients
title_full Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients
title_fullStr Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients
title_full_unstemmed Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients
title_short Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients
title_sort design and validation of an fpga-based configurable transcranial doppler neurofeedback system for chronic pain patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069097/
https://www.ncbi.nlm.nih.gov/pubmed/30011900
http://dx.doi.org/10.3390/s18072278
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