UPenn and Mayo Clinic’s Seizure Detection Challenge 颅内脑电癫痫数据集

UPenn and Mayo Clinic’s Seizure Detection Challenge Dataset 是包含癫痫患者病灶标注的数据集，其包含人类和犬类的训练及测试数据，训练数据为癫痫发作数据段标记为「Ictal」的 1 秒 EEG 剪辑、非癫痫发作数据段的「间歇」两种。其中训练数据为顺序排列，测试数据则为随机排列。

The UPenn and Mayo Clinic’s Seizure Detection Challenge Dataset is a dataset annotated with epileptic seizure foci from epileptic patients. It includes training and test data collected from both human and canine subjects. The training data consists of two categories of 1-second EEG clips: those labeled "Ictal" for epileptic seizure segments, and those labeled "Interictal" for non-epileptic seizure segments. The training data is arranged in sequential order, while the test data is randomly ordered.

搜集汇总

背景与挑战

背景概述

该数据集是UPenn and Mayo Clinic's Seizure Detection Challenge的颅内脑电癫痫数据集，包含人类和犬类的训练及测试数据，涵盖癫痫发作（Ictal）和非癫痫发作（间歇）的1秒EEG剪辑。数据来源于2015年Kaggle发布的相关挑战赛，提供覆盖整个发作的Lctal数据集和发作间数据段，大小为10.82 GB，适用于非商业用途的机器视觉和医学研究。