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| Title: | Natural resonance frequency identification for sea waves and EEG epileptic patients using Pade approximation and neural network |
| Authors: | Osama A Elsayed, Abdallah Hammad, Eman A Abdel-Ghaffar |
| Year: | 2019 |
| Keywords: | sea wave classification |
| Journal: | The Egyptian Journal of Remote Sensing and Space Science |
| Volume: | 2019/12/26 |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Elsevier |
| Local/International: | International |
| Paper Link: | Not Available |
| Full paper | Eman Ahmed Abdel Ghaffar_Natural resonance frequency identification for sea waves and EEG epileptic patients using Pade approximation and neural network.pdf |
| Supplementary materials | Not Available |
| Abstract: |
Pade method is used in the spectral domain estimation to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical engineering field is the Epilepsy seizure type classification. Feature extractions of both the Global Navigation Satellite Systems (GNSS) signal and the epilepsy seizure from a human Electroencephalograph (EEG) signal are based on the poles location of the signal. |
