Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis
This paper presents the study of sound frequency characteristic based on Electroencephalography (EEG) signals. The study includes feature extraction of the EEG signals with respect to different sound frequencies, covering low frequency (40 Hz), mid-range frequency (5000 Hz), and high frequency (1500...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE XPLORE
2010
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/4534/ http://eprints.utem.edu.my/id/eprint/4534/1/05489225.pdf |
| _version_ | 1848887044946788352 |
|---|---|
| author | Sudirman, Rubita A. K. Chee Wan Daud, Wan Mohd Bukhari |
| author_facet | Sudirman, Rubita A. K. Chee Wan Daud, Wan Mohd Bukhari |
| author_sort | Sudirman, Rubita |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This paper presents the study of sound frequency characteristic based on Electroencephalography (EEG) signals. The study includes feature extraction of the EEG signals with respect to different sound frequencies, covering low frequency (40 Hz), mid-range frequency (5000 Hz), and high frequency (15000 Hz). Human brain activities are expected to be different when exposed to different sound frequencies, and can be shown through EEG signals. In this paper, EEG signal characterization is done using Fast Fourier Transform (FFT), moving average filters, and simple artefact filtering with reference EEG data per individual. Based on the characteristics of the EEG signal, the sound frequency can be categorized and identified using the proposed method. |
| first_indexed | 2025-11-15T19:48:08Z |
| format | Article |
| id | utem-4534 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:48:08Z |
| publishDate | 2010 |
| publisher | IEEE XPLORE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-45342022-01-06T12:50:46Z http://eprints.utem.edu.my/id/eprint/4534/ Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis Sudirman, Rubita A. K. Chee Wan Daud, Wan Mohd Bukhari This paper presents the study of sound frequency characteristic based on Electroencephalography (EEG) signals. The study includes feature extraction of the EEG signals with respect to different sound frequencies, covering low frequency (40 Hz), mid-range frequency (5000 Hz), and high frequency (15000 Hz). Human brain activities are expected to be different when exposed to different sound frequencies, and can be shown through EEG signals. In this paper, EEG signal characterization is done using Fast Fourier Transform (FFT), moving average filters, and simple artefact filtering with reference EEG data per individual. Based on the characteristics of the EEG signal, the sound frequency can be categorized and identified using the proposed method. IEEE XPLORE 2010-05-28 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/4534/1/05489225.pdf Sudirman, Rubita and A. K. Chee and Wan Daud, Wan Mohd Bukhari (2010) Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis. Mathematical/Analytical Modelling and Computer Simulation (AMS). pp. 221-226. ISSN 978-1-4244-7196-6 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5489225 DOI 10.1109/AMS.2010.52 |
| spellingShingle | Sudirman, Rubita A. K. Chee Wan Daud, Wan Mohd Bukhari Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis |
| title | Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis
|
| title_full | Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis
|
| title_fullStr | Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis
|
| title_full_unstemmed | Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis
|
| title_short | Modeling Of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis
|
| title_sort | modeling of eeg signal sound frequency characteristic using time frequency analysis |
| url | http://eprints.utem.edu.my/id/eprint/4534/ http://eprints.utem.edu.my/id/eprint/4534/ http://eprints.utem.edu.my/id/eprint/4534/ http://eprints.utem.edu.my/id/eprint/4534/1/05489225.pdf |