Turnip, Arjon and Pardede, Jasman (2017) Artefacts Removal of EEG Signals with Wavelet Denoising. In: INTERNATIONAL CONFERENCE ON MECHANICAL AND MANUFACTURING ENGINEERING 2017 (ICME2017), 22 & 23 July 2017, LANGKAWI, MALAYSIA.
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16. Artefacts Removal of EEG Signals with Wavelet Denoising.pdf Download (2MB) | Preview |
Abstract
The recording of EEG signals often still contains many contaminants electrical signals that originate from non-cerebral origin such as ocular muscle activity called artefacts. The amplitude of artefacts can be quite large relative to the size of amplitude of the cortical signals of interest. In this paper, an application of wavelet denoising method for artefacts removal of EEG signals is proposed. The experiment result shows that contaminant artifact of EEG signals can significantly removed.
| Item Type: | Conference or Workshop Item (Paper) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Paper |
| Depositing User: | Azizullah Putri Akbar |
| Date Deposited: | 16 Feb 2023 07:49 |
| Last Modified: | 20 Feb 2023 06:25 |
| URI: | http://eprints.itenas.ac.id/id/eprint/2133 |
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