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Dr. Eman Ahmed Abdel Ghaffar :: Publications: |
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| Title: | Natural resonance frequency identification for remote sensing and biomedical engineering using Prony method and fuzzy logic |
| Authors: | Osama A Elsayed, Abdallah Hammad, Eman A Abdel-Ghaffar |
| Year: | 2019 |
| Keywords: | EEG signals |
| Journal: | The Egyptian Journal of Remote Sensing and Space Science |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Not Available |
| Local/International: | International |
| Paper Link: | |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
Prony method is applied 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. |
