The June Dublin Electrophysiology Research Clinic was held virtually on Fri 26th June, with a talk from Lan Wei from UCD entitled “An XGBoost-based Algorithm for Seizure Detection in Mouse Models of Epilepsy”.
Epilepsy is a chronic neurological disease which affects over 50 million people worldwide. EEG monitoring in rodent disease models of epilepsy is critical in the understanding of disease mechanisms and drug development. However, the visual annotation of EEG traces is time-consuming, typically requires highly trained experts and is subject to low inter-observer reproducibility. Therefore, automated seizure detection has been proposed recently to help to reduce the time required to annotate EEGs and improve reproducibility. In this presentation, a TKEO-based and an 
XGBoost-based method were presented to detect seizures in EEGs from intra-amygdala kainic acid and Dravet syndrome mouse models of epilepsy, which has the potential to assist researchers in the automated analysis of seizures in single-channel mouse EEG.
XGBoost-based method were presented to detect seizures in EEGs from intra-amygdala kainic acid and Dravet syndrome mouse models of epilepsy, which has the potential to assist researchers in the automated analysis of seizures in single-channel mouse EEG.It’s a great way to show the work to others and get valuable feedback. It’s also a great opportunity to gain online presentation experience in an informal environment.
— Lan Wei