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This paper proposes an algorithm to detect the onset in case of non-convulsive seizures. In the literature no work has been reported in this direction. The algorithm was tested on the scalp EEG database of 5 patients, collected at All India Institute of Medical Science (AIIMS), New Delhi. The database consisted of 13 seizures of different duration. Since EEG signal is random in nature, it was converted...
This paper proposes an algorithm for the detection of non-convulsive seizures (NCSz), based on the Autoregressive (AR) modeling of EEG over the frequency band of 0–31 Hz. Simple linear classifier was used for the classification between the normal and seizure EEG. The algorithm was tested on the scalp EEG database of 5 patients, collected at All India Institute of Medical Sciences (AIIMS), New Delhi...
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