Diseño de un prototipo de sistema de comunicación personal mediante el uso de señales de electroencefalografía (EEG)

This paper presents a brain-computer interface (BCI) designed for patients affected with Amyotrophic lateral sclerosis (ALS) or with other diseases with Bulbar-Spinal Muscular Atrophy that affect the patient interaction with the environment. By using an EEG portable (Emotiv Epoc) we acquired neural signals which were processed and used for make a choice in the initial prototype for healthy subjects. In this case, we have worked with EEG’s artifacts with the purpose of train and validate a neural network with seven different persons. With the results obtained, we can conclude that the Emotiv headset is a good alternative for the creation of technological devices, which purpose is to close the communication gap between a diseased patient and his environment.

• Autores: Salguero López, Jennifer
• Fecha de publicación: 2015
• Institución: Universidad Militar Nueva Granada
• Repositorio: Repositorio UMNG
• Idioma: spa
• OAI Identifier: oai:repository.unimilitar.edu.co:10654/7476
• Acceso en línea: http://hdl.handle.net/10654/7476
• Palabra clave: ELECTROENCEFALOGRAFIA (EEG); PROCESAMIENTO DE SEÑALES; Emotiv EPOC; EEG signals; Neural Network
• License: http://purl.org/coar/access_right/c_abf2