A Comparative Study of Alpha Frequency Analysis between Medical and Consumer-grade Electroencephalography Devices on the Measurement of Male Healthy Subjects

Galih Restu Fardian Suwandi; Syaukha Ahmad Risyad; Siti Nurul Khotimah; Freddy Haryanto; Suprijadi -

doi:10.11113/mjfas.v19n6.3156

Authors

Galih Restu Fardian Suwandi Nuclear Physics and Biophysics Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesha 10 Bandung 40132, Indonesia https://orcid.org/0009-0004-5525-6537
Syaukha Ahmad Risyad Undergraduated Physics Program Study, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesha 10 Bandung 40132, Indonesia
Siti Nurul Khotimah Nuclear Physics and Biophysics Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesha 10 Bandung 40132, Indonesia https://orcid.org/0000-0001-5897-2660
Freddy Haryanto Nuclear Physics and Biophysics Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesha 10 Bandung 40132, Indonesia
Suprijadi - Instrumentation and Computational Physics Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesha 10 Bandung 40132, Indonesia https://orcid.org/0000-0002-5468-4618

DOI:

https://doi.org/10.11113/mjfas.v19n6.3156

Keywords:

Electroencephalography, Medical-grade, Consumer-grade, Power spectral density, Alpha frequency

Abstract

The relatively high cost of medical-grade electroencephalography (EEG) devices has pushed the production of low-cost wireless consumer-grade devices. Therefore, it is essential to assess the performance of wireless consumer devices to determine whether they are sufficient for medical purposes. This research assessed consumer-grade EEG (C-EEG) recording quality by quantitatively comparing the consumer-grade EEG with a medical-grade EEG device (M-EEG). Recording data from C-EEG and M-EEG were obtained from 20 male subjects in age 19-23 years old. Recording for both devices was done sequentially with similar methods of recording. Upon EEG recording, the subject is asked to sit in a chair facing the screen. EEG recording was performed when the subject was asked to open and close their eyes for 30 seconds each. Subsequently, subjects took a verbal memory test. This research compared the following parameters: power spectral density (PSD), full width at half max (FWHM) from PSD, and individual peak alpha frequency (IPAF) shift. P-value, standard error, mean absolute percentage error (MAPE) and mean squared error (MSE) were also obtained based on mentioned parameters. Based on the IPAF shift, it was concluded that C-EEG could read EEG signals against time well. Based on PSD and FWHM results, it was concluded that the C-EEG could not read EEG signal amplitudes well compared to the M-EEG device. The results of this research are important as a benchmark for carrying out further research using EEG, both medical and consumer-grade.

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