Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller

Jose Perez; Jimmy Tarrillo

doi:10.1109/DCAS51144.2020.9330655

Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller

Jose Perez
, Jimmy Tarrillo

Department of Electrical and Mechatronics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Electroencephalographic signals are employed to analyze brain activity. By being low voltage level signals, its digitalization represents a big challenge. Currently, there are several proposals and BCIs, many of them based on complicated and expensive ADCs and DSPs to collect and digitally process data. Hence, this paper presents the design and implementation of an active-filtering circuit for electroencephalographic signal acquisition in a frequency range between 0.15 Hz and 50Hz using an 8-bit AVR RISC-based microcontroller. This hardware is composed of four fundamental elements: Reception block, filtering circuit, ADC adaptation circuit, and digital communication system. This paper offers the results of board design, emulation, and implementation concerning the amplitude spectrum and its SNR value.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728185101
DOIs	https://doi.org/10.1109/DCAS51144.2020.9330655
State	Published - 15 Nov 2020
Event	14th IEEE Dallas Circuits and Systems Conference, DCAS 2020 - Virtual, Richardson, United States Duration: 15 Nov 2020 → 16 Nov 2020

Publication series

Name	Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020

Conference

Conference	14th IEEE Dallas Circuits and Systems Conference, DCAS 2020
Country/Territory	United States
City	Virtual, Richardson
Period	15/11/20 → 16/11/20

Keywords

Analog circuit design
BCI
EEG
Filtering

Access to Document

10.1109/DCAS51144.2020.9330655

Cite this

Perez, J., & Tarrillo, J. (2020). Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller. In Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020 Article 9330655 (Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCAS51144.2020.9330655

Perez, Jose ; Tarrillo, Jimmy. / Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller. Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020).

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abstract = "Electroencephalographic signals are employed to analyze brain activity. By being low voltage level signals, its digitalization represents a big challenge. Currently, there are several proposals and BCIs, many of them based on complicated and expensive ADCs and DSPs to collect and digitally process data. Hence, this paper presents the design and implementation of an active-filtering circuit for electroencephalographic signal acquisition in a frequency range between 0.15 Hz and 50Hz using an 8-bit AVR RISC-based microcontroller. This hardware is composed of four fundamental elements: Reception block, filtering circuit, ADC adaptation circuit, and digital communication system. This paper offers the results of board design, emulation, and implementation concerning the amplitude spectrum and its SNR value.",

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note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 14th IEEE Dallas Circuits and Systems Conference, DCAS 2020 ; Conference date: 15-11-2020 Through 16-11-2020",

year = "2020",

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doi = "10.1109/DCAS51144.2020.9330655",

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Perez, J & Tarrillo, J 2020, Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller. in Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020., 9330655, Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020, Institute of Electrical and Electronics Engineers Inc., 14th IEEE Dallas Circuits and Systems Conference, DCAS 2020, Virtual, Richardson, United States, 15/11/20. https://doi.org/10.1109/DCAS51144.2020.9330655

Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller. / Perez, Jose; Tarrillo, Jimmy.
Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9330655 (Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tarrillo, Jimmy

PY - 2020/11/15

Y1 - 2020/11/15

N2 - Electroencephalographic signals are employed to analyze brain activity. By being low voltage level signals, its digitalization represents a big challenge. Currently, there are several proposals and BCIs, many of them based on complicated and expensive ADCs and DSPs to collect and digitally process data. Hence, this paper presents the design and implementation of an active-filtering circuit for electroencephalographic signal acquisition in a frequency range between 0.15 Hz and 50Hz using an 8-bit AVR RISC-based microcontroller. This hardware is composed of four fundamental elements: Reception block, filtering circuit, ADC adaptation circuit, and digital communication system. This paper offers the results of board design, emulation, and implementation concerning the amplitude spectrum and its SNR value.

AB - Electroencephalographic signals are employed to analyze brain activity. By being low voltage level signals, its digitalization represents a big challenge. Currently, there are several proposals and BCIs, many of them based on complicated and expensive ADCs and DSPs to collect and digitally process data. Hence, this paper presents the design and implementation of an active-filtering circuit for electroencephalographic signal acquisition in a frequency range between 0.15 Hz and 50Hz using an 8-bit AVR RISC-based microcontroller. This hardware is composed of four fundamental elements: Reception block, filtering circuit, ADC adaptation circuit, and digital communication system. This paper offers the results of board design, emulation, and implementation concerning the amplitude spectrum and its SNR value.

KW - Analog circuit design

KW - BCI

KW - EEG

KW - Filtering

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DO - 10.1109/DCAS51144.2020.9330655

M3 - Conference contribution

AN - SCOPUS:85100900994

T3 - Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020

BT - Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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Perez J, Tarrillo J. Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller. In Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9330655. (Proceedings of the 2020 IEEE Dallas Circuits and Systems Conference, DCAS 2020). doi: 10.1109/DCAS51144.2020.9330655

Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller

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