Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2022. №10
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DOI: https://doi.org/10.30898/1684-1719.2022.10.11

 

A NEW APPROACH TO THE AUTOMATED DETECTION OF DIAGNOSTIC INDICATORS OF DELAYED CEREBRAL ISCHEMIA

AFTER SUBARACHNOID HEMORRHAGE IN LONG-TERM EEG MONITORING DATA

 

Yu.V. Obukhov1, I.A. Kershner1, M.V. Sinkin2

 

1 Kotelnikov Institute of Radioengineering and Electronics of RAS

Mokhovaya 11-7, Moscow, 125009, Russia

2 N.V. Sklifosovsky Research Institute for Emergency Medicine

Bolshaya Sukharevskaya Square, 3, Moscow, 129010, Russia

 

The paper was received October 31, 2022

 

Abstract. Based on the analysis delayed ischemia after subarachnoid hemorrhage indicators, a new approach to the analysis of data from long-term electroencephalographic patients monitoring is proposed and described. It is based on the analysis of the wavelet transforms ridges, in which the power spectrum density, frequency and phase, are equal to the square amplitude, the frequency and the phase of the signal respectively. The main formulas justifying this approach are given. Illustrations of the use Morlet wavelet spectrograms in the electroencephalogram’s analysis of the patient in prefrontal leads are presented the first day after subarachnoid hemorrhage before the development of delayed cerebral ischemia and the seventh day, when the patient had an acute period of delayed ischemia. One of the indicators of delayed ischemia, which has a prognostic value of its development, is the number of events of epileptiform activity per unit of time (usually per hour). A new method for detecting epileptiform activity based on the detection of interchannel synchronization of wavelet spectrogram ridges has been proposed and described.

Key words: electroencephalographic monitoring, delayed ischemia indicators, wavelet spectrum ridge, interchannel synchronization.

Financing: The study was carried out at the expense of the grant of the Russian Science Foundation No. 22-69-00102, https://rscf.ru/en/project/22-69-00102/

Corresponding author: Yu.V. Obukhov, yuvobukhov@mail.ru

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For citation:

Obukhov Yu.V., Kershner I.A., Sinkin M.V. A new approach to the development of automatic algorithms for detecting diagnostic and prognostic indicators of delayed cerebral ischemia in the data of long-term electroencephalographic monitoring. Zhurnal radioelektroniki [Journal of Radio Electronics] [online].2022. №10. https://doi.org/10.30898/1684-1719.2022.10.11