KHOLILOH, ROBI (2024) SISTEM INSTRUMENTASI ELEKTROENSEFALOGRAFI (EEG) UNTUK MENGUKUR SINYAL GELOMBANG ALPHA. Other thesis, Nusa Putra University.
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Abstract
Electroencephalography (EEG) is a device used to record bioelectrical activity in the outermost layer of the human brain, known as the cerebral cortex. EEG signals reflect the electrical activity generated by neurons in the brain and can provide important information about a person's brain health. This electrical activity is very complex and varies depending on the individual's mental and physiological state. Among the various types of brain waves, alpha waves play a significant role in mental activity, especially in a state of relaxation or when a person is resting and in a calm state of consciousness. Alpha waves are often associated with increased creativity and learning ability, so they have a very important value in various neurophysiological studies. However, the main challenge in measuring EEG signals is the weakness of the signal which is very small and susceptible to noise interference, such as electromagnetic interference from surrounding electronic devices. In this paper, an EEG instrumentation system has been designed to overcome these challenges. The design of this system includes signal amplification that is able to capture weak signals better and strategies to reduce disturbing noise. The measurement method used measures the characteristics of alpha wave signals precisely to ensure high measurement accuracy and resolution. The experimental results show that the developed EEG instrumentation system is able to capture and record alpha wave signals well, even in noisy environmental conditions. Thus, this system has great potential for use in various clinical and research applications that require accurate and reliable monitoring of brain activity.
Keywords: Measuring EEG signals, Electroencephalography (EEG), Alpha Waves, EEG instrumentation system, Brain activity
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | Engineering > Electrical Engineering |
| Divisions: | Faculty of Engineering, Computer and Design > Electrical Engineering |
| Depositing User: | Unnamed user with email liu@nusaputra.ac.id |
| Date Deposited: | 27 Mar 2025 04:48 |
| Last Modified: | 27 Mar 2025 04:48 |
| URI: | http://repository.nusaputra.ac.id/id/eprint/1428 |
