Abstract
The signals obtained through electroencephalography are used to the identification of several pathologies, neurological and psychiatric disturbs. The present work describes the hardware, firmware and software of an EEG acquisition module based on the analog front-end ADS1292, with two channels and ADC conversion with a resolution of 268 nV. The system has a composition of filters and amplifiers capable of extracting signals in the amplitude and frequency range for EEG signals and the acquired data is recorded and presented online with a software developed in the LabVIEW 2016 environment and post-processed with software Matlab. The system showed to be adequate to acquire EEG signals and present the results in an online software, along with the possibility of storing the data for offline analysis. To conclude, this EEG system acquisition can be a useful tool for engineering students to develop their abilities and build a practical device in which several fields of knowledge are related, therefore presenting a possibility to develop a complete project with real applications.
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Acknowledgements
The authors acknowledge the financial and institutional support provided by University of Passo Fundo (UPF) and the technical support of Rodrigo Busato.
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Luza, L.M., Andreis, F.R., Balotin, A.F. (2019). Design of an EEG Acquisition System Based on Front-End ADS1292. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/1. Springer, Singapore. https://doi.org/10.1007/978-981-13-2119-1_65
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DOI: https://doi.org/10.1007/978-981-13-2119-1_65
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