A Comparative Study of Alpha Frequency Analysis between Medical and Consumer-grade Electroencephalography Devices on the Measurement of Male Healthy Subjects Article Swipe
Galih Restu Fardian Suwandi
,
Syaukha Ahmad Risyad
,
Siti Nurul Khotimah
,
Freddy Haryanto
,
Suprijadi Suprijadi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.11113/mjfas.v19n6.3156
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.11113/mjfas.v19n6.3156
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11113/mjfas.v19n6.3156
- https://mjfas.utm.my/index.php/mjfas/article/download/3156/1823
- OA Status
- diamond
- Cited By
- 2
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389308651
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389308651Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11113/mjfas.v19n6.3156Digital Object Identifier
- Title
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A Comparative Study of Alpha Frequency Analysis between Medical and Consumer-grade Electroencephalography Devices on the Measurement of Male Healthy SubjectsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-04Full publication date if available
- Authors
-
Galih Restu Fardian Suwandi, Syaukha Ahmad Risyad, Siti Nurul Khotimah, Freddy Haryanto, Suprijadi SuprijadiList of authors in order
- Landing page
-
https://doi.org/10.11113/mjfas.v19n6.3156Publisher landing page
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https://mjfas.utm.my/index.php/mjfas/article/download/3156/1823Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://mjfas.utm.my/index.php/mjfas/article/download/3156/1823Direct OA link when available
- Concepts
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Electroencephalography, Audiology, Alpha (finance), Computer science, Statistics, Mathematics, Medicine, Descriptive statistics, Psychiatry, Cronbach's alphaTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2024: 2Per-year citation counts (last 5 years)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.read | 185, 205 |
| abstract_inverted_index.that | 182, 200 |
| abstract_inverted_index.they | 33 |
| abstract_inverted_index.this | 218 |
| abstract_inverted_index.time | 189 |
| abstract_inverted_index.took | 124 |
| abstract_inverted_index.well | 209 |
| abstract_inverted_index.were | 65, 167 |
| abstract_inverted_index.when | 107 |
| abstract_inverted_index.with | 53, 83 |
| abstract_inverted_index.(EEG) | 7 |
| abstract_inverted_index.(MSE) | 166 |
| abstract_inverted_index.19-23 | 73 |
| abstract_inverted_index.Based | 174, 191 |
| abstract_inverted_index.C-EEG | 62, 183, 202 |
| abstract_inverted_index.M-EEG | 64, 213 |
| abstract_inverted_index.alpha | 150 |
| abstract_inverted_index.asked | 94, 111 |
| abstract_inverted_index.based | 170 |
| abstract_inverted_index.chair | 99 |
| abstract_inverted_index.close | 115 |
| abstract_inverted_index.could | 184, 203 |
| abstract_inverted_index.each. | 121 |
| abstract_inverted_index.error | 160, 165 |
| abstract_inverted_index.power | 135 |
| abstract_inverted_index.test. | 128 |
| abstract_inverted_index.their | 116 |
| abstract_inverted_index.using | 230 |
| abstract_inverted_index.well. | 190 |
| abstract_inverted_index.width | 140 |
| abstract_inverted_index.years | 74 |
| abstract_inverted_index.(FWHM) | 144 |
| abstract_inverted_index.(IPAF) | 152 |
| abstract_inverted_index.(MAPE) | 161 |
| abstract_inverted_index.(PSD), | 138 |
| abstract_inverted_index.assess | 23 |
| abstract_inverted_index.device | 57 |
| abstract_inverted_index.error, | 156 |
| abstract_inverted_index.facing | 100 |
| abstract_inverted_index.memory | 127 |
| abstract_inverted_index.pushed | 10 |
| abstract_inverted_index.shift, | 178 |
| abstract_inverted_index.shift. | 153 |
| abstract_inverted_index.signal | 207 |
| abstract_inverted_index.verbal | 126 |
| abstract_inverted_index.(C-EEG) | 44 |
| abstract_inverted_index.against | 188 |
| abstract_inverted_index.density | 137 |
| abstract_inverted_index.device. | 214 |
| abstract_inverted_index.devices | 8, 29, 79 |
| abstract_inverted_index.further | 228 |
| abstract_inverted_index.medical | 37, 233 |
| abstract_inverted_index.methods | 85 |
| abstract_inverted_index.quality | 46 |
| abstract_inverted_index.results | 216 |
| abstract_inverted_index.screen. | 102 |
| abstract_inverted_index.seconds | 120 |
| abstract_inverted_index.signals | 187 |
| abstract_inverted_index.similar | 84 |
| abstract_inverted_index.squared | 164 |
| abstract_inverted_index.subject | 92, 109 |
| abstract_inverted_index.whether | 32 |
| abstract_inverted_index.(M-EEG). | 58 |
| abstract_inverted_index.P-value, | 154 |
| abstract_inverted_index.absolute | 158 |
| abstract_inverted_index.assessed | 41 |
| abstract_inverted_index.carrying | 226 |
| abstract_inverted_index.compared | 131, 210 |
| abstract_inverted_index.consumer | 28 |
| abstract_inverted_index.devices. | 17 |
| abstract_inverted_index.low-cost | 14 |
| abstract_inverted_index.obtained | 66, 169 |
| abstract_inverted_index.research | 40, 130, 219, 229 |
| abstract_inverted_index.results, | 196 |
| abstract_inverted_index.spectral | 136 |
| abstract_inverted_index.standard | 155 |
| abstract_inverted_index.subjects | 70, 123 |
| abstract_inverted_index.wireless | 15, 27 |
| abstract_inverted_index.Recording | 59, 76 |
| abstract_inverted_index.benchmark | 224 |
| abstract_inverted_index.comparing | 49 |
| abstract_inverted_index.concluded | 181, 199 |
| abstract_inverted_index.determine | 31 |
| abstract_inverted_index.essential | 21 |
| abstract_inverted_index.following | 133 |
| abstract_inverted_index.frequency | 151 |
| abstract_inverted_index.important | 221 |
| abstract_inverted_index.mentioned | 172 |
| abstract_inverted_index.performed | 106 |
| abstract_inverted_index.purposes. | 38 |
| abstract_inverted_index.recording | 45, 104 |
| abstract_inverted_index.Therefore, | 18 |
| abstract_inverted_index.amplitudes | 208 |
| abstract_inverted_index.individual | 148 |
| abstract_inverted_index.percentage | 159 |
| abstract_inverted_index.production | 12 |
| abstract_inverted_index.recording, | 90 |
| abstract_inverted_index.recording. | 87 |
| abstract_inverted_index.relatively | 1 |
| abstract_inverted_index.sufficient | 35 |
| abstract_inverted_index.parameters. | 173 |
| abstract_inverted_index.parameters: | 134 |
| abstract_inverted_index.performance | 25 |
| abstract_inverted_index.sequentially | 82 |
| abstract_inverted_index.Subsequently, | 122 |
| abstract_inverted_index.medical-grade | 5, 55 |
| abstract_inverted_index.consumer-grade | 16, 42, 51 |
| abstract_inverted_index.quantitatively | 48 |
| abstract_inverted_index.consumer-grade. | 235 |
| abstract_inverted_index.electroencephalography | 6 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.6272303 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |