Real-Time Epileptic Seizure Detection Using EEG

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 25; no. 11; pp. 2146 - 2156
• Main Authors: Vidyaratne, Lasitha S., Iftekharuddin, Khan M.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Classification; Computer Systems; Convulsions & seizures; Data processing; EEG; Electrocorticography - methods; Electrodes; Electroencephalography; Epilepsy; Epilepsy - classification; Epilepsy - diagnosis; Feature extraction; Fourier Analysis; Fourier transforms; fractal feature; Fractals; Harmonic analysis; harmonic wavelet packet transform; Humans; Latency; Real time; relevance vectormachine; Reproducibility of Results; Scalp; Seizing; seizure detection; Seizures - classification; Seizures - diagnosis; Self-similarity; Skull; Spatial data; Support Vector Machine; Wavelet Analysis; Wavelet packets
• ISSN: 1534-4320; 1558-0210; 1558-0210
• DOI: 10.1109/TNSRE.2017.2697920

This paper proposes a novel patient-specific real-time automatic epileptic seizure onset detection, using both scalp and intracranial electroencephalogram (EEG). The proposed technique obtains harmonic multiresolution and self-similarity-based fractal features from EEG for robust seizure onset detec...