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

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

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dc.contributor.author Rey, Beatriz es_ES
dc.contributor.author Rodriguez Ortega, Alejandro es_ES
dc.contributor.author LLORENS-BUFORT, ENRIQUE es_ES
dc.contributor.author TEMBL, JOSE es_ES
dc.contributor.author MUÑOZ, MIGUEL ANGEL es_ES
dc.contributor.author MONTOYA, PEDRO JOSÉ es_ES
dc.contributor.author Herrero Bosch, Vicente es_ES
dc.contributor.author Monzó Ferrer, José María es_ES
dc.date.accessioned 2019-07-03T20:03:09Z
dc.date.available 2019-07-03T20:03:09Z
dc.date.issued 2018 es_ES
dc.identifier.uri http://hdl.handle.net/10251/123146
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship This research was funded by Ministerio de Economia y Competitividad, Spain, grant number PSI2013-48260-C3-2-R. The APC was funded by Ministerio de Economia y Competitividad, Spain, grant number PSI2013-48260-C3-2-R. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation MINECO/PSI2013-48260-C3-2-R es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Transcranial doppler ultrasound es_ES
dc.subject Neurofeedback es_ES
dc.subject Digital signal processing es_ES
dc.subject Chronic pain es_ES
dc.subject Fibromyalgia es_ES
dc.subject FPGA es_ES
dc.subject System on Chip es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s18072278 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Rey, B.; Rodriguez Ortega, A.; Llorens-Bufort, E.; Tembl, J.; Muñoz, MA.; Montoya, PJ.; Herrero Bosch, V.... (2018). Design and Validation of an FPGA-Based Configurable Transcranial Doppler Neurofeedback System for Chronic Pain Patients. Sensors. 18(7):2278(1)-2278(16). https://doi.org/10.3390/s18072278 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s18072278 es_ES
dc.description.upvformatpinicio 2278(1) es_ES
dc.description.upvformatpfin 2278(16) es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 7 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 30011900 en_EN
dc.identifier.pmcid PMC6069097 en_EN
dc.relation.pasarela S\371891 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES


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