Journal of Radio Electronics. eISSN 1684-1719. 2025. ¹11
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DOI: https://doi.org/10.30898/1684-1719.2025.11.27
ALGORITHM FOR AUTOMATIC DETECTION OF SPORADIC
EPILEPTIFORM DISCHARGES IN THE EARLY STAGE
OF DEVELOPMENT OF DELAYED CEREBRAL ISCHEMIA
I.A. Kershner 1, M.V. Sinkin 2, Yu.V. Obukhov 1, I.V. Okuneva 2
1Kotelnikov IRE RAS, 125009, Russia, Moscow, Mokhovaya str., 11, b.7
2Sklifosovsky Research Institute for Emergency Medicine,
129090, Russia, Moscow, Bolshaya Suharevskaya Square, 3
The paper was received November 6, 2025.
Abstract. An algorithm for automatic detection of delayed cerebral ischemia index during electroencephalographic monitoring of a patient after subarachnoid hemorrhage – dynamics of sporadic epileptiform discharges, has been developed. The algorithm is based on the analysis of the cross-correlation function of the electroencephalogram with a selected sample of epileptiform spike-wave discharge. The synchronization of channels located throughout the head was studied. The number of hourly epileptiform discharges was calculated both separately for the hemispheres – the left and the right, and for the zones of the brain - frontal, parietal and central. As a result of applying the algorithm, peak-wave discharges per hour clusters exceeding the threshold value and related in time are identified. The algorithm was applied to 14 control patients and 10 patients diagnosed with delayed cerebral ischemia. Sensitivity, accuracy, and selectivity of algorithm is equal to 90%, 83%, and 79% respectively.
Key words: electroencephalography, epileptiform discharges, correlation function, delayed cerebral ischemia.
Financing: The study was funded by the Russian Science Foundation Grant No. 22-69-00102, https://rscf.ru/en/project/22-69-00102/.
Corresponding author: Kershner Ivan Andreevich, ivan_kershner@mail.ru
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For citation:
Kershner I.A., Sinkin M.V., Obukhov Yu.V., Okuneva I.V. Algorithm for automatic detection of sporadic epileptiform discharges in the early stage of development of delayed cerebral ischemia // Journal of Radio Electronics. – 2025. – ¹. 11. https://doi.org/10.30898/1684-1719.2025.11.27