Seizure detection by analyzing the number of channels selected by cross-correlation using TUH EEG seizure corpus

Ximena Montoya; Frank Díaz; José Félix; Jesus Paucar; José Ferrer; Pablo Fonseca

doi:10.1117/12.2670106

6 March 2023 Seizure detection by analyzing the number of channels selected by cross-correlation using TUH EEG seizure corpus

Ximena Montoya, Frank Díaz, José Félix, Jesus Paucar, José Ferrer, Pablo Fonseca

Author Affiliations +

Proceedings Volume 12567, 18th International Symposium on Medical Information Processing and Analysis; 125671A (2023) https://doi.org/10.1117/12.2670106
Event: 18th International Symposium on Medical Information Processing and Analysis, 2022, Valparaíso, Chile

Abstract

Status epilepticus is caused by a seizure lasting more than 5 minutes or several seizures in this time. For the detection of seizures, encephalograms are visually analyzed by doctors, but this has certain limitations, which can be reduced using algorithms that allow the identification of seizure patterns. Usually, the algorithms use all the channels of the electroencephalography, which causes more computational time. Therefore, the paper proposes an algorithm that seeks to verify that the use of fewer channels chosen for having less cross-correlation can lead to better seizure detection metrics. Of the classification algorithms used, XGBoost is the one that shows a more noticeable difference in sensitivity between 3 channels (80.64%) and 22 channels (78.19%). Also, ”FP1-F7”, ”A1-T3”, ”P3-O1” and ”FP1-F3” are the best channels for seizure detection. Research showed that using fewer channels selected by cross-correlation can improve seizure detection.

Citation Download Citation

Ximena Montoya, Frank Díaz, José Félix, Jesus Paucar, José Ferrer, and Pablo Fonseca "Seizure detection by analyzing the number of channels selected by cross-correlation using TUH EEG seizure corpus", Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125671A (6 March 2023); https://doi.org/10.1117/12.2670106

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