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IMPLEMENTASI DISCRETE WAVELET TRANSFORM DAN ALGORITMA CLUSTERING PADA SINYAL EEG UNTUK MENGANALISA SELECTIVE ATTENTION DAN MEMORI

Makkiyah, Makkiyah (2018) IMPLEMENTASI DISCRETE WAVELET TRANSFORM DAN ALGORITMA CLUSTERING PADA SINYAL EEG UNTUK MENGANALISA SELECTIVE ATTENTION DAN MEMORI. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Recharging the brain is extraordinary, the brain has 100 billion brain cells each time one stimulus (image, sound, and touch) using one of the senses, the brain cell creates the mind of the impression coming out of the brain cell and down one of the threads (dendrites) then this impression crossed into another brain cell. Selective Attention and Memory are indispensable. When a person wants to improve his memory function then one must also focus or focus on something he or she wants to pay attention to. The more a person operates the memory the better the memory endurance he has and the higher the Selective Attention and concentration on himself. Task Stroop is a type of test that will strengthen human ability in decision making [3]. Task Stroop will provide the process of interference in the brain, so the brain took to make decisions in difficult conditions and limited time. The use of EEG by using non-invasive methods is a way that can be done periodically in patients, adults, small children, and without risk of limitations. EEG signals are signals that appear irregular but contain information about the electrical activity of neurons in the brain. EEG signals in general and specific frequency.

Item Type: Thesis (Bachelors Degree (S1))
Additional Information: 201110130311074
Uncontrolled Keywords: Neurosky, EEG,Discrete Wavelet Transform
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: CKO Repository
Date Deposited: 01 Nov 2018 03:11
Last Modified: 01 Nov 2018 03:11
URI : http://eprints.umm.ac.id/id/eprint/39055

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