ANALISIS GELOMBANG OTAK ALFA DAN BETA DALAM UJI MEMORI JANGKA PENDEK MENGGUNAKAN EEG NIRKABEL

Brain imaging technology such as electroencephalogram (EEG) can give information about brain activity from the detected brainwaves and their location. This information is useful to give insights about how our complex brain works, especially in cognitive activities like recall and thinking. The devel...

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Bibliographic Details
Main Author: Natasha May Shary, Claudia
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/64202
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Brain imaging technology such as electroencephalogram (EEG) can give information about brain activity from the detected brainwaves and their location. This information is useful to give insights about how our complex brain works, especially in cognitive activities like recall and thinking. The development of these technologies has made it easier to do brain imaging, with simple operation and easy access to it, for example, the Muse EEG from InteraXon. This research aims to decide which side of the brain hemisphere has the higher value of alpha waves and beta waves mean while doing short term memory tests. It also aims to compare the characteristics of alpha and beta brain waves in different age groups (group I: age 20-29, group II: age 40-49, and group III: age 50-59). The data is recorded from six males who currently work as a teacher in SMPN 1 Cimahi. The Muse EEG recorded alpha waves (7.5-13 Hz) and beta waves (13-30 Hz) from four sensors which are located on TP9 and AF7 on the left hemisphere and TP10 and AF8 on the right hemisphere. The respondents were asked to do a short term memory test which refers to the test from University of Washington. The tests were done in two different days, with the first test involving questions with only alphabet combination (referred as “H”), while the second test involved questions with alphabet and numbers combination (referred as “H+A”). The data is recorded with a unit of measurement of the logarithm of Power Spectral Density. The result shows that alpha waves mean at “H” on TP10 is higher than in TP9, meanwhile there is no significant difference between AF7 and AF8 (p>0.05). In “H+A”, alpha waves mean on TP9 is higher than TP10, as well as AF7 higher than AF8 (p<0.05). For beta waves at “H”, the mean in TP9 and TP10 do not show any significant difference, while mean in AF8 is higher than AF7 (p<0.05). For the comparison between age groups on “H”, the majority of highest alpha mean values is shown by the second group, while on “H+A”, it is shown by the third group. For beta waves mean, the majority highest value is shown by the second group, as well as on “H+A”