![]() Smart Innovation, Systems and Technologies, vol. (eds.) Proceedings of the 7th Brazilian Technology Symposium (BTSym 2021). In: Iano, Y., Saotome, O., Kemper Vásquez, G.L., Cotrim Pezzuto, C., Arthur, R., Gomes de Oliveira, G. Nishimura, E.H., Iano, Y., de Oliveira, G.G., Vaz, G.C.: Application and requirements of AIoT-enabled industrial control units. Vaz, G.C., Iano, Y., de Oliveira, G.G.: IoT-from industries to houses: an overview. Izario, D., Brancalhone, J., Iano, Y., de Oliveira, G.G., Vaz, G.C., Izario, K.: 5G - automation of vertical systems in the industry 4.0. ĭemanboro, A.C., Bianchini, D., Iano, Y., de Oliveira, G.G., Vaz, G.C.: 6G networks: an innovative approach, but with many challenges and paradigms, in the development of platforms and services in the near future. por Ferrero, RGA (1995)Ĭosta, E.J.X.: Estudo da atividade elétrica cerebral em humanos e bovinos usando processamento digital de sinais e instrumentação eletrônica (2006)ĭemanboro, A.C., Bianchini, D., Iano, Y., de Oliveira, G.G., Vaz, G.C.: Regulatory aspects of 5G and perspectives in the scope of scientific and technological policy. Keywordsįerrero, R., Ferrero, A.R.: Análisis computado del EEG. As result, plots of brain waves will be created to compare their behavior when an individual is at rest or performing meditation. After MUSE generates and collects the neural electrophysiological signals, they will be processed and analyzed with MATLAB software, which will be complemented by the EEGLAB ToolBox, developed by the University of California, in the United States. Although MUSE has far fewer electrodes than a clinical device, both of them share the same principle for data collection. Originally, MUSE was designed and developed as a device for guided meditation, however, the authors of this study have adopted it as a low-cost electroencephalogram device. ![]() MUSE is a device that measures brain activity using four electroencephalographic sensors and sends the collected data to an application developed for smartphones. This work consists of the analysis of neural electrophysiological data and proposes the use of a brain signal detection strip, known as MUSE, as a method of capturing the signals that will be analyzed.
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