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Natural resonance frequency identification for remote sensing and biomedical engineering using Prony method and fuzzy logic

The Egyptian Journal of Remote Sensing and Space Science • 2019
العودة
معلومات البحث
المؤلفون Osama A Elsayed, Abdallah Hammad, Eman A Abdel-Ghaffar
الكلمات المفتاحية EEG signals
المجلة العلمية The Egyptian Journal of Remote Sensing and Space Science
الناشر Not Available
المجلد Not Available
العدد Not Available
الصفحات Not Available
publication.type International
رابط البحث Open Link
المواد المرفقة Not Available
الملخص
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.