Implementação de sistema de condicionamento de sinais eletroencefalográficos portátil

Abstract

This work shows the development of a wireless EEG signal conditioning system where they are processed by digital signal processing using LabVIEW software for the specific application of driving a cooler that controls the height of a Styrofoam ball that It is inside a clear plastic tube according to the type of alpha and beta signal that corresponds, respectively, to the state of relaxation and concentration of an individual. Wireless communication of information from biomedical hardware makes data acquisition more portable to the person who will make use of such a device. A total gain of 11326.36 [V / V] EEG signal conditioning board was obtained for signals applied at a frequency of 20 Hz and wireless data communication was successfully achieved via two NRF24L01 radio frequency modules . The prototype for the application of this wireless EEG signal conditioning system perfectly controlled the application, in other words, the height of the Styrofoam ball. And the system was validated using an Agilent 30MHz 32521A arbitrary wave generator that simulated biological signals for the 0.1 and 40 Hz frequency range.

Desenvolvimento de uma IHM no Ambiente LabVIEW para Aquisição de Dados e Monitoramento do Controle de Nível Virtual

“…Diversos são os ambientes computacionais que permitem o desenvolvimento de IHM's, tal como o LabVIEW. Este software tem como objetivo o desenvolvimento de sistemas automatizados de validação, teste de produção e pesquisa (Soares & Campos, 2020). Trata-se de um ambiente de programação gráfico o qual será utilizado para o desenvolvimento da IHM que supervisionará o processo de controle de nível da planta do Factory I/O, objeto de estudo deste trabalho.…”

EEG Multipurpose Eye Blink Detector using convolutional neural network

“…Relevant and precisely defined features of the resulting signal are extracted from the background "noise" generated by billions of active nerve cells. These features are then translated into device commands specific to the BCI-controlled applications (Kübler, 2019;Soares & Campos, 2020).…”