Seizure state detection of temporal lobe seizures by autoregressive spectral analysis of scalp EEG.
OBJECTIVE
To investigate a novel application of autoregression (AR) spectral techniques for seizure detection from scalp EEG.


METHODS
EEGs were recorded from twelve patients with left temporal lobe epilepsy. The Burg maximum entropy AR method was applied to the signals from four electrodes near the epileptic focus for each patient, and the AR spectra were parameterized based on scalp EEG features described by a neurologist, thus mimicking clinical seizure identification. The parameters measured spectral peak power, sharpness, and location in a delta/low theta frequency range. An optimized nonlinear seizure detection index, which accounted for spatial and temporal persistence of behavior, was then calculated.


RESULTS
Performance was optimized using recordings from two patients (315h, 18 seizures). For the remaining 10 patients (1624h, 83 seizures) results are presented as a Receiver Operating Characteristic graph, yielding an overall event-based true positive rate of 91.57% and epoch-based false positive rate of 3.97%.


CONCLUSIONS
Performance of the AR seizure identification method is comparable to other approaches. Techniques such as artifact removal are expected to improve performance.


CONCLUSIONS
There is a real potential for this seizure detection method to be of practical clinical use in long-term monitoring.
Khamis
H
H
Comprehensive Epilepsy Service, Royal Prince Alfred Hospital, NSW, Australia. hebak@ee.usyd.edu.au
Mohamed
A
A
Simpson
S
S
D000328:Adult; D001931:Brain Mapping; D004569:Electroencephalography; D004833:Epilepsy, Temporal Lobe / Q000175:diagnosis / Q000473:pathology / Q000503:physiopathology; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D012372:ROC Curve; D012535:Scalp; D012640:Seizures / Q000175:diagnosis* / Q000209:etiology; D055815:Young Adult