Open AccessFinite Impulse Response Filter for Electroencephalogram Waves Detection
Author(s) -
Melinda Melinda,
Syahrial Syahrial,
Yunidar,
Al Bahri,
Muhammad Irhamsyah
Publication year - 2022
Publication title -
green intelligent systems and applications
Language(s) - English
Resource type - Journals
ISSN - 2809-1116
DOI - 10.53623/gisa.v2i1.65
Subject(s) - acoustics , finite impulse response , filter (signal processing) , impulse (physics) , noise (video) , computer science , electroencephalography , signal (programming language) , amplitude , impulse response , digital filter , physics , mathematics , artificial intelligence , algorithm , optics , psychology , computer vision , mathematical analysis , quantum mechanics , psychiatry , image (mathematics) , programming language
Electroencephalographic data signals consist of electrical signal activity with several characteristics, such as non-periodic patterns and small voltage amplitudes that can mix with noise making it difficult to recognize. This study uses several types of EEG wave signals, namely Delta, Alpha, Beta, and Gamma. The method we use in this study is the application of an impulse response filter to replace the noise obtained before and after the FIR filter is applied. In addition, we also analyzed the quality of several types of electroencephalographic signal waves by looking at the addition of the signal to noise ratio value. In the end, the results we get after applying the filter, the noise that occurs in some types of waves shows better results.