Data acquisition instrument for EEG based on embedded system

La Ode Husein Z. Toresano; Sastra Kusuma Wijaya; Prawito Prawito; Arief Sudarmaji; Abdan Syakura; Cholid Badri

doi:10.1063/1.4976794

Data acquisition instrument for EEG based on embedded system

La Ode Husein Z. Toresano, Sastra Kusuma Wijaya, Prawito, Arief Sudarmaji, Abdan Syakura, Cholid Badri

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

4 Citations (Scopus)

Abstract

An electroencephalogram (EEG) is a device for measuring and recording the electrical activity of brain. The EEG data of signal can be used as a source of analysis for human brain function. The purpose of this study was to design a portable multichannel EEG based on embedded system and ADS1299. The ADS1299 is an analog front-end to be used as an Analog to Digital Converter (ADC) to convert analog signal of electrical activity of brain, a filter of electrical signal to reduce the noise on low-frequency band and a data communication to the microcontroller. The system has been tested to capture brain signal within a range of 1-20 Hz using the NETECH EEG simulator 330. The developed system was relatively high accuracy of more than 82.5%. The EEG Instrument has been successfully implemented to acquire the brain signal activity using a PC (Personal Computer) connection for displaying the recorded data. The final result of data acquisition has been processed using OpenBCI GUI (Graphical User Interface) based through real-time process for 8-channel signal acquisition, brain-mapping and power spectral decomposition signal using the standard FFT (Fast Fourier Transform) algorithm.

Original language	English
Title of host publication	Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices
Subtitle of host publication	Proceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016
Editors	Yudan Whulanza, Sugeng Supriadi, Muhamad Sahlan, Basari
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735414853
DOIs	https://doi.org/10.1063/1.4976794
Publication status	Published - 21 Feb 2017
Event	1st International Symposium of Biomedical Engineering: Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2016 - Depok City, Indonesia Duration: 31 May 2016 → 1 Jun 2016

Publication series

Name	AIP Conference Proceedings
Volume	1817
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	1st International Symposium of Biomedical Engineering: Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2016
Country/Territory	Indonesia
City	Depok City
Period	31/05/16 → 1/06/16

Keywords

ADS1299TI
Brain Signal
Decomposition
EEG
Embedded-system
FFT
Instrument
Power Spectral Density

Access to Document

10.1063/1.4976794

Cite this

Toresano, L. O. H. Z., Wijaya, S. K., Prawito , Sudarmaji, A., Syakura, A., & Badri, C. (2017). Data acquisition instrument for EEG based on embedded system. In Y. Whulanza, S. Supriadi, M. Sahlan, & Basari (Eds.), Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices: Proceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016 Article 040009 (AIP Conference Proceedings; Vol. 1817). American Institute of Physics Inc.. https://doi.org/10.1063/1.4976794

Toresano, La Ode Husein Z. ; Wijaya, Sastra Kusuma ; Prawito et al. / Data acquisition instrument for EEG based on embedded system. Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices: Proceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016. editor / Yudan Whulanza ; Sugeng Supriadi ; Muhamad Sahlan ; Basari. American Institute of Physics Inc., 2017. (AIP Conference Proceedings).

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title = "Data acquisition instrument for EEG based on embedded system",

abstract = "An electroencephalogram (EEG) is a device for measuring and recording the electrical activity of brain. The EEG data of signal can be used as a source of analysis for human brain function. The purpose of this study was to design a portable multichannel EEG based on embedded system and ADS1299. The ADS1299 is an analog front-end to be used as an Analog to Digital Converter (ADC) to convert analog signal of electrical activity of brain, a filter of electrical signal to reduce the noise on low-frequency band and a data communication to the microcontroller. The system has been tested to capture brain signal within a range of 1-20 Hz using the NETECH EEG simulator 330. The developed system was relatively high accuracy of more than 82.5%. The EEG Instrument has been successfully implemented to acquire the brain signal activity using a PC (Personal Computer) connection for displaying the recorded data. The final result of data acquisition has been processed using OpenBCI GUI (Graphical User Interface) based through real-time process for 8-channel signal acquisition, brain-mapping and power spectral decomposition signal using the standard FFT (Fast Fourier Transform) algorithm.",

keywords = "ADS1299TI, Brain Signal, Decomposition, EEG, Embedded-system, FFT, Instrument, Power Spectral Density",

author = "Toresano, {La Ode Husein Z.} and Wijaya, {Sastra Kusuma} and Prawito and Arief Sudarmaji and Abdan Syakura and Cholid Badri",

note = "Publisher Copyright: {\textcopyright} 2017 Author(s).; 1st International Symposium of Biomedical Engineering: Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2016 ; Conference date: 31-05-2016 Through 01-06-2016",

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series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Yudan Whulanza and Sugeng Supriadi and Muhamad Sahlan and Basari",

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Toresano, LOHZ, Wijaya, SK, Prawito, , Sudarmaji, A, Syakura, A & Badri, C 2017, Data acquisition instrument for EEG based on embedded system. in Y Whulanza, S Supriadi, M Sahlan & Basari (eds), Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices: Proceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016., 040009, AIP Conference Proceedings, vol. 1817, American Institute of Physics Inc., 1st International Symposium of Biomedical Engineering: Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2016, Depok City, Indonesia, 31/05/16. https://doi.org/10.1063/1.4976794

Data acquisition instrument for EEG based on embedded system. / Toresano, La Ode Husein Z.; Wijaya, Sastra Kusuma; Prawito et al.
Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices: Proceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016. ed. / Yudan Whulanza; Sugeng Supriadi; Muhamad Sahlan; Basari. American Institute of Physics Inc., 2017. 040009 (AIP Conference Proceedings; Vol. 1817).

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

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T1 - Data acquisition instrument for EEG based on embedded system

AU - Toresano, La Ode Husein Z.

AU - Wijaya, Sastra Kusuma

AU - Prawito, null

AU - Sudarmaji, Arief

AU - Syakura, Abdan

AU - Badri, Cholid

PY - 2017/2/21

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N2 - An electroencephalogram (EEG) is a device for measuring and recording the electrical activity of brain. The EEG data of signal can be used as a source of analysis for human brain function. The purpose of this study was to design a portable multichannel EEG based on embedded system and ADS1299. The ADS1299 is an analog front-end to be used as an Analog to Digital Converter (ADC) to convert analog signal of electrical activity of brain, a filter of electrical signal to reduce the noise on low-frequency band and a data communication to the microcontroller. The system has been tested to capture brain signal within a range of 1-20 Hz using the NETECH EEG simulator 330. The developed system was relatively high accuracy of more than 82.5%. The EEG Instrument has been successfully implemented to acquire the brain signal activity using a PC (Personal Computer) connection for displaying the recorded data. The final result of data acquisition has been processed using OpenBCI GUI (Graphical User Interface) based through real-time process for 8-channel signal acquisition, brain-mapping and power spectral decomposition signal using the standard FFT (Fast Fourier Transform) algorithm.

AB - An electroencephalogram (EEG) is a device for measuring and recording the electrical activity of brain. The EEG data of signal can be used as a source of analysis for human brain function. The purpose of this study was to design a portable multichannel EEG based on embedded system and ADS1299. The ADS1299 is an analog front-end to be used as an Analog to Digital Converter (ADC) to convert analog signal of electrical activity of brain, a filter of electrical signal to reduce the noise on low-frequency band and a data communication to the microcontroller. The system has been tested to capture brain signal within a range of 1-20 Hz using the NETECH EEG simulator 330. The developed system was relatively high accuracy of more than 82.5%. The EEG Instrument has been successfully implemented to acquire the brain signal activity using a PC (Personal Computer) connection for displaying the recorded data. The final result of data acquisition has been processed using OpenBCI GUI (Graphical User Interface) based through real-time process for 8-channel signal acquisition, brain-mapping and power spectral decomposition signal using the standard FFT (Fast Fourier Transform) algorithm.

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KW - Embedded-system

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KW - Power Spectral Density

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BT - Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices

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Toresano LOHZ, Wijaya SK, Prawito , Sudarmaji A, Syakura A, Badri C. Data acquisition instrument for EEG based on embedded system. In Whulanza Y, Supriadi S, Sahlan M, Basari, editors, Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices: Proceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016. American Institute of Physics Inc. 2017. 040009. (AIP Conference Proceedings). doi: 10.1063/1.4976794

Data acquisition instrument for EEG based on embedded system

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