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

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.

Keywords

• EEG
• Feature extraction
• Epilepsy
• Poles
• Prony method
• Fuzzy logic