Feature extraction of visual evoked potentials using wavelet transform and singular value decomposition
Introduction: Brain visual evoked potential (VEP) signals are commonly known to be accompanied by high levels of background noise typically from the spontaneous background brain activity of electroencephalography (EEG) signals. Material and Methods: A model based on dyadic filter bank, discrete wave...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mashhad University of Medical Sciences
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/85314/1/AbdKhamimIsmail2018_FeatureExtractionofVisualEvokedPotentials.pdf http://eprints.utm.my/id/eprint/85314/ http://dx.doi.org/10.22038/ijmp.2018.28583.1311 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |