Identification of electrooculography signals frequency energy distribution using wavelet algorithm
Problem statement: The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favored tool for the analyzing the biomedical signals. Approach: We describe the identification of Electro-Oculograph (EOG) signals of e...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publications
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/29144/1/RubitaSudirman2011_IdentificationofElectrooculographySignalsFrequencyEnergyDistribution.pdf http://eprints.utm.my/id/eprint/29144/ http://dx.doi.org/10.3844/jcssp.2011.1619.1625 |
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