Abstract:This paper presents a new technique for electroencephalography (EEG) seizure detection from multi-channel EEG signals based on image processing concepts in Internet-of-Health-Things (IoHT) systems. The multi-channel EEG segments are treated as two-dimensional matrices as if they were images. Scale-space analysis with Scale Invariant Feature Transform (SIFT) is used to extract the feature points in the up-mentioned two-dimensional matrices. The number of points is used as a discriminating factor between seizure… Show more
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