Epileptic seizure detection combining power spectral density and high-frequency oscillations

Detection of pre-seizure signs in epileptic signals may help patients to survive the seizure with minimal damage. This study aims detect patterns using EEG datasets five patients. The signals' maximum power spectral density (PSD) and high-frequency oscillations (HFOs) are investigated. PSDs all patients' calculated, subbands PSD examined. It is observed that 95%, 85%, 75%, 80% channels sum delta theta PSD, respectively. All frequency F4 T3 included only subbands. Furthermore, increase rates pre-ictal ictal investigated, increasing ripples fast then calculated. A much higher-frequency ripple follows low-frequency 65%, 75% first, second, third, fourth, fifth patients, For data, a higher not seen, followed by 90%, 90% In addition, this study, be 80 Hz above Fp2, C4, P4, O2, Pz channels, which common Consequently, examining HFO ensures detection differences between data sets detects