Caroline, Caroline and Shabrina, Nabila Husna and Ao, Melania Regina and Laurencya, Nadya and Lee, Vanessa (2020) Analisis Aplikasi Filter FIR dan Filter IIR dalam Pra-pemrosesan Sinyal Elektroensefalografi. Ultima Computing : Jurnal Sistem Komputer, 12 (1). pp. 40-48. ISSN 2355-3286
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
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| Keywords: | EEG, FIR filter digital, IIR filter digital, Wavelet Decomposition, GUI-MATLAB |
| Subjects: | 600 Technology (Applied Sciences) > 600 Technology > 607 Education, Research, Related Topics 600 Technology (Applied Sciences) > 610 Medicine and Health > 611 Human Anatomy, Cytology, Histology |
| Sustainable Development Goals: | Goal 03. Ensure healthy lives and promote well-being Goal 04. Ensure inclusive and equitable quality education and promote lifelong learning Goal 09. Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
| Divisions: | Faculty of Engineering & Informatics > Computer Engineering |
| Date Deposited: | 02 Dec 2021 17:36 |
| URI: | https://kc.umn.ac.id/id/eprint/19340 |
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