Kang, Xiaoxi and Handayani, Dini Oktarina Dwi and Yaacob, Hamwira Sakti (2021) Comparison between Butterworth Bandpass and Stationary Wavelet Transform Filter for electroencephalography signal. IOP Conference Series: Materials Science and Engineering, 1077 (1). ISSN 1757-8981 E-ISSN 1757-899X
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Abstract
The Electroencephalography (EEG) signals able to obtain the information from the brain signals. Reduce the noise of the raw EEG data can improve the accuracy of the result. The pre-processing step of the raw EEG data can generate a clean signal and improve the accuracy. The purpose of this paper is to compare the Butterworth bandpass (BB) and stationary wavelet transform (SWT) method for the pornography addiction EEG data. The data was collected from Yayasan Kita dan Buah Hati (YKBH), Jakarta, Indonesia, using the Brain Maker EEG machine with 19 channels. We used mean square error (MSE) and peak-to-noise ratio (PSNR) to compare the quantitative value for the filtered EEG signals. The result shows that the BB filter is more effective in removing the noise and keep the original information.
| Item Type: | Article (Journal) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology |
| Depositing User: | Dr Hamwira Yaacob |
| Date Deposited: | 20 Apr 2021 14:38 |
| Last Modified: | 20 Apr 2021 14:38 |
| URI: | http://irep.iium.edu.my/id/eprint/89437 |
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