Open AccessAnalisis Aplikasi Filter FIR dan Filter IIR dalam Pra-pemrosesan Sinyal Elektroensefalografi
Author(s) -
Caroline Caroline,
Nabila Husna Shabrina,
Melania Regina Ao,
Nadya Laurencya,
Vanessa Lee
Publication year - 2020
Publication title -
ultima computing/ultima computing: jurnal sistem komputer
Language(s) - English
Resource type - Journals
eISSN - 2549-4007
pISSN - 2355-3286
DOI - 10.31937/sk.v12i1.1621
Subject(s) - infinite impulse response , computer science , digital filter , finite impulse response , filter design , preprocessor , cascaded integrator–comb filter , filter (signal processing) , wavelet , matlab , fast fourier transform , electroencephalography , speech recognition , root raised cosine filter , artificial intelligence , algorithm , computer vision , psychology , psychiatry , operating system
– Electroencephalography (EEG) is a method used to analyze brain activities, detect abnormalities in brain, and diagnose brain-related disease. To extract information from EEG signal, preprocessing steps such as Fast Fourier Transform (FFT), filter, and wavelet decomposition will be needed. This paper primarily focuses on implementation of Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filter design in EEG signal preprocessing in MATLAB software. The result of the simulation indicates that each filter design implemented in EEG preprocessing has different performance and side effect toward signal processing parameters such as phase distortion, amplitude ratio, and processing time. Filter design type implementation also affect power and entropy calculation result.
Keywords – EEG, FIR filter digital, IIR filter digital, Wavelet Decomposition, GUI-MATLAB