An Application Real-time Acquiring EEG Signal from Single Lead Electrode to Recognize Brain Activity using Neurosky Sensor

Simple item page
dc.contributor.advisorFahruzi, Iman
dc.contributor.authorFahruzi, Iman
dc.contributor.authorSulisetyo Nugroho, Destyan
dc.date.accessioned2023-06-12T14:35:47Z
dc.date.available2023-06-12T14:35:47Z
dc.date.issued2019-10-28
dc.descriptionInternational Proceeding iSemantic2019en_US
dc.description.abstrakElectroencephalography (EEG) is one of the biological signals in humans that can be used to define, evaluate and analyze brain signal activity. The EEG use has been more common in the field of psychology and medicine for the previous few years, but is now overgrowing in various fields such as game technology, human and computer interaction, neuromarketing and simulation. The experiments are performed on the subject by attaching electrodes to certain areas of the head. The electrodes are connected to the brain sensor and the outcomes are processed by the Arduino processor, which utilizes an interface to show the output as electrical activity in the brain. Two hundred samples were taken in each subject in two conditions, namely deep sleep and awake while listening to music to determine the pattern of electrical activity for each alpha, beta, theta, delta and gamma wave. Based on the test results, there are significant differences in the waves by the subjects' conditions. The results of observers using prototypes can be used for additional data to make decisions in the diagnosis of brain signals so that decisions are made by medical indications and appropriate follow-up actions are taken to prevent malignant symptoms.en_US
dc.identifier.issn978-1-7281-3832-9
dc.identifier.urihttps://repository.polibatam.ac.id/xmlui/handle/123456789/1688
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectapplication EEGen_US
dc.subjectbrain activityen_US
dc.subjectreal-time EEGen_US
dc.subjectneuroskyen_US
dc.subjectsingle lead EEGen_US
dc.titleAn Application Real-time Acquiring EEG Signal from Single Lead Electrode to Recognize Brain Activity using Neurosky Sensoren_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Repository Politeknik Negeri Batam
Name:
Bukti Korespondensi iSemantic2019.pdf
Size:
1.43 MB
Format:
Adobe Portable Document Format
Description:
Bukti Korespondensi iSemantic2019
Download

License bundle

Now showing 1 - 1 of 1
Repository Politeknik Negeri Batam
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Karya Dosen