Vol. 11, no.2, 2019
РусскийEnglish

MEDICAL PHYSICS



A NEW APPROACH TO THE DETECTION OF EPILEPTIFORM ACTIVITY IN EEG SIGNALS AND METHODS TO DIFFERENTIATE EPILEPTIC SEIZURES FROM CHEWING ARTIFACTS
Ivan A. Kershner, Yuri V. Obukhov
Kotelnikov Institute of Radioengineering and Electronics of RAS, http://www.cplire.ru
Moscow 125009, Russian Federation
Mikhail V. Sinkin
Sklifosovsky Scientific Research Institute for Emergency Medicine of Moscow Department of Health, https://sklif.mos.ru/
Moscow 117485, Russian Federation
Alexei V. Karabanov, Larisa A. Chigaleychik
Research Center of Neurology of RF Ministry of Education and Science, https://www.neurology.ru/
3, Sukharevskaya sq., Moscow 129090, Russian Federation

Received 28.06.2019, accepted 02.07.2019
Abstract. The method allowing automatic detecting different activity in long term EEG signals is developed. To distinguish epileptiform activity from chewing artifacts are proposed based on the analysis of wavelet-spectrograms of the EEG. The properties of wavelet spectrogram ridges were studied, as well as the frequency of broadband peaks at time points corresponding to peak-wave epileptiform activity on the one hand, and the peaks of myographic activity during chewing on the other hand. Signs by which one can qualitatively divide the group containing epileptic discharges from chewing artifacts were found.

Keywords: EEG; wavelet spectrogram; ridges; epileptic seizure; chewing artifacts; seizure detection

UDC 004.67, 004.93''11

RENSIT, 2019, 11(2):237-242 DOI: 10.17725/rensit.2019.11.237

Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/283/11(2)237-242e.pdf