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author:

Chen, H.-J. (Chen, H.-J..) [1] | Lan, Y.-Y. (Lan, Y.-Y..) [2] | Wang, L.-H. (Wang, L.-H..) [3] | Kuo, I.-C. (Kuo, I.-C..) [4] | Huang, P.-C. (Huang, P.-C..) [5]

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Abstract:

This study presents a portable EEG signal acquisition board with 16 channels, the firmware development of the ESP32 module enables the transmission of the EEG signals acquired by the analog front-end ADS1299 to the host computer using the SPI communication interface. The ESP32 module has built-in Bluetooth and Wi-Fi communication peripherals, which enable fast, high-quality transmission of EEG signals. This study realized a 16-channel data acquisition system, and measured the shorting noise of the 16 channels which obtains an average noise of 1.782uV. The experimental results show that this study has a better recognition effect for identifying the four SSVEP signals. The average recognition accuracy of five subjects using the FFT and the CCA algorithms were 82% and 89.5% respectively. © 2024 IEEE.

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  • [ 1 ] [Chen H.-J.]Fuzhou University, College of Physics and Information Engineering, China
  • [ 2 ] [Lan Y.-Y.]Fuzhou University, College of Physics and Information Engineering, China
  • [ 3 ] [Wang L.-H.]Fuzhou University, College of Physics and Information Engineering, China
  • [ 4 ] [Kuo I.-C.]Fuzhou University, College of Biological Science and Engineering, China
  • [ 5 ] [Huang P.-C.]National Cheng Kung University, Department of Electrical Engineering, Tainan, Taiwan

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Year: 2024

Page: 579-580

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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