TY - GEN
T1 - Innovative Portable Quantitative EEG Data Acquisition Based Cyton Biosensing Board using PSD Analysis
AU - Melinda, Melinda
AU - Purnamasari, Prima Dewi
AU - Fahmi, Fahmi
AU - Sinulingga, Emerson
AU - Muliyadi, Muliyadi
AU - Yamin, Imam Ashabul
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Electroencephalography (EEG) is a non-invasive brain imaging technique essential for neuroscience research and clinical applications. Conventional EEG devices are often expensive and impractical for use outside clinical or laboratory settings. This study reports the experience of acquiring EEG data using the Cyton board biosensing, an open-source and portable biosensor device. Detailed procedures for subject preparation, electrode placement, device configuration, and EEG data acquisition are provided. A Butterworth filter was used to eliminate noise from the EEG signals, with results visualized using the Fast Fourier Transform (FFT). Quantitative EEG (qEEG) analysis was conducted using the Power Spectral Density (PSD) method. The highest PSD values were 428.04 μV2/Hz at 5.9 Hz on channel C4 for subject 1,329.77 μV2/Hz at 5.9 Hz on channel C4 for subject 2, and 385.65 μ V2/Hz at 5.9 Hz on channel Fp1 for subject 3, all indicating increased brain activity in the theta wave range. This study provides insights for researchers and practitioners using the Cyton board for EEG data acquisition and contributes to developing portable, affordable EEG methods.
AB - Electroencephalography (EEG) is a non-invasive brain imaging technique essential for neuroscience research and clinical applications. Conventional EEG devices are often expensive and impractical for use outside clinical or laboratory settings. This study reports the experience of acquiring EEG data using the Cyton board biosensing, an open-source and portable biosensor device. Detailed procedures for subject preparation, electrode placement, device configuration, and EEG data acquisition are provided. A Butterworth filter was used to eliminate noise from the EEG signals, with results visualized using the Fast Fourier Transform (FFT). Quantitative EEG (qEEG) analysis was conducted using the Power Spectral Density (PSD) method. The highest PSD values were 428.04 μV2/Hz at 5.9 Hz on channel C4 for subject 1,329.77 μV2/Hz at 5.9 Hz on channel C4 for subject 2, and 385.65 μ V2/Hz at 5.9 Hz on channel Fp1 for subject 3, all indicating increased brain activity in the theta wave range. This study provides insights for researchers and practitioners using the Cyton board for EEG data acquisition and contributes to developing portable, affordable EEG methods.
KW - acquisition
KW - dataset
KW - electroencephalography
KW - fast Fourier transform
KW - power spectral density
UR - http://www.scopus.com/inward/record.url?scp=85207525914&partnerID=8YFLogxK
U2 - 10.1109/ICSCC62041.2024.10690827
DO - 10.1109/ICSCC62041.2024.10690827
M3 - Conference contribution
AN - SCOPUS:85207525914
T3 - 2024 10th International Conference on Smart Computing and Communication, ICSCC 2024
SP - 631
EP - 636
BT - 2024 10th International Conference on Smart Computing and Communication, ICSCC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Smart Computing and Communication, ICSCC 2024
Y2 - 25 July 2024 through 27 July 2024
ER -