Отрывок: EEG signals are pre-filtered by a 25 Hz notch filter and a second-order Butterworth filter with a passband from 0.5 to 22 Hz. Detection of specific events in EEG signals is carried out with the help of the ridge wavelet spectrograms power spectral density PDS = |W (t, fr)|2 analysis [4]. The decision rule for fixing the event is as follows: 2 3 3 2 3 1, ( ) 2 ( ); 0, ( ) 2...
Название : | An algorithm for detecting events in video EEG monitoring data of patients with craniocerebral injuries |
Авторы/Редакторы : | Murashov, D.M. Obukhov, Y.V. Kershner, I.A. Sinkin, M.V. |
Ключевые слова : | video EEG monitoring data epileptic seizure optical flow wavelets ridges of wavelet spectrograms clinical applications |
Дата публикации : | Апр-2021 |
Издательство : | Самарский национальный исследовательский университет имени акад. С.П. Королева |
Библиографическое описание : | Murashov DM, Obukhov YV, Kershner IA, Sinkin MV. An algorithm for detecting events in video EEG monitoring data of patients with craniocerebral injuries. Computer Optics 2021; 45(2): 301-305. DOI: 10.18287/2412-6179-CO-798. |
Серия/номер : | 45;2 |
Аннотация : | One of the problems solved by analyzing the data of long-term Video EEG monitoring is the differentiation of epileptic and artifact events. For this, not only multichannel EEG signals are used, but also video data analysis, since traditional methods based on the analysis of EEG wavelet spectrograms cannot reliably distinguish an epileptic seizure from a chewing artifact. In this paper, we propose an algorithm for detecting artifact events based on a joint analysis of the level of the optical flow and the ridges of wavelet spectrograms. The preliminary results of the analysis of real clinical data are given. The results show the possibility in principle of reliable distinguishing non-epileptic events from epileptic seizures. |
URI (Унифицированный идентификатор ресурса) : | https://dx.doi.org/10.18287/2412-6179-CO-798 http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/An-algorithm-for-detecting-events-in-video-EEG-monitoring-data-of-patients-with-craniocerebral-injuries-88404 |
Другие идентификаторы : | Dspace\SGAU\20210503\88404 |
ГРНТИ: | 28.00.00 |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
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Файл | Описание | Размер | Формат | |
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450218.pdf | Основная статья | 1.75 MB | Adobe PDF | Просмотреть/Открыть |
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