Processing technique for detecting indices that indicate the MU wave presence in EEG signal

• Autores: Alvarez, Antonio, Alvarado, Negman, Reynoso, Sebastián, Gai, Sofia, Cassia, Jorge, Pérez, Santiago, Dugarte, Edinson, Balacco, José, Abraham, Jorge, Molina, Alejandra, Dugarte, Nelson
• Formato: artículo
• Fecha de Publicación: 2019
• Institución: Universidad Nacional Hermilio Valdizan
• Repositorio: Revistas - Universidad Nacional Hermilio Valdizán
• Lenguaje: español
• OAI Identifier: oai:revistas.unheval.edu.pe:article/331
• Enlace del recurso: http://revistas.unheval.edu.pe/index.php/repis/article/view/331
• Nivel de acceso: acceso abierto
• Materia: Procesamiento de señales; Detección de la onda MU; Neuronas espejo; Análisis del electroencefalograma; Signal processing; MU wave detection; Mirror neurons; Electroencephalogram analysis

Modern studies have shown that mirrow neurons are involved in the development of social empathy and language. Consequently, deficiency in mirror neural networks response could be one of the dysfunctions present in autistic spectrum disorder (ASD), as a phenotypic functional expression of channelopathies in some brain regions.Early detection of deficiencies in mirror neural network systems could allow more efficient applications of behavioral therapies in patients with ASD. The detection of MU waves in the electroencephalogram (EEG) could be an interesting technique that refers to the functioning of these neural networks.In this article we present a simple technique, developed with the purpose of identifying the presence of MU waves in the EEG record. It consists of a processing that analyzes each one of the derivations of the EEG, with the implementation of a mathematical method. The signal analysis looks for the changes in the frequency patterns related to the MU waves, discriminating the presence of alpha waves by the association to the patient's response to a conditioned visual stimulus.The preliminary results prove the efficiency of the system. The analysis emphasized frequency alterations in the range of 9 to 12 Hz. The most important responses were obtained with the processing of leads C3, Cz and C4.