An approach to the EOG signal segmentation based on fuzzy reasoning
In this paper we presented an approach to segmentation of an electrooculography (EOG) signal. For segmentation we have used the elements of the fuzzy set theory. Results obtained in our numerical experiments show usefulness of proposed approach. Our method can be also used for the generating of a le...
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| creator | Przybyla, T. Pander, T. Czabanski, R. |
| description | In this paper we presented an approach to segmentation of an electrooculography (EOG) signal. For segmentation we have used the elements of the fuzzy set theory. Results obtained in our numerical experiments show usefulness of proposed approach. Our method can be also used for the generating of a learning set necessary for the neural networks or the fuzzy-neural systems training. |
| doi_str_mv | 10.1109/HSI.2008.4581528 |
| format | Conference Proceeding |
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For segmentation we have used the elements of the fuzzy set theory. Results obtained in our numerical experiments show usefulness of proposed approach. Our method can be also used for the generating of a learning set necessary for the neural networks or the fuzzy-neural systems training.</abstract><pub>IEEE</pub><doi>10.1109/HSI.2008.4581528</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial neural networks Clustering methods Electric potential Electrooculography EOG signal Estimation fuzzy clustering fuzzy reasoning Object segmentation Prototypes signal segmentation |
| title | An approach to the EOG signal segmentation based on fuzzy reasoning |
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