心跳信号数据

赛题以预测心电图心跳信号类别为任务，数据集报名后可见并可下载，该数据来自某平台心电图数据记录，总数据量超过20万，主要为1列心跳信号序列数据，其中每个样本的信号序列采样频次一致，长度相等。为了保证比赛的公平性，将会从中抽取10万条作为训练集，2万条作为测试集A，2万条作为测试集B，同时会对心跳信号类别（label）信息进行脱敏。

The task of this competition is to predict the category of electrocardiogram (ECG) heartbeat signals. This dataset will be accessible and downloadable after registration, originating from ECG data records on a certain platform, with a total of over 200,000 samples. It primarily consists of single-column heartbeat signal sequence data, where all samples share the same sampling frequency and equal sequence length. To ensure the fairness of the competition, 100,000 samples will be selected as the training set, 20,000 as Test Set A, and another 20,000 as Test Set B. In addition, the heartbeat signal category (label) information will be anonymized.

搜集汇总

背景与挑战

背景概述

心跳信号数据集包含超过20万条心电图记录，用于预测心跳信号类别。数据集分为训练集和两个测试集，所有样本信号序列长度和采样频次一致，且类别信息已脱敏。