You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018

PhysioNet2026-06-27 收录

心电信号

睡眠状态检测

数据链接：

https://physionet.org/content/challenge-2018/1.0.0/数据链接链接失效反馈

官方服务：

资源简介：

The goal of the challenge is use information from the available signals to correctly classify target arousal regions.

MIT-BIH AFDB (MIT-BIH Atrial Fibrilation Database)

心电信号

心律失常

该数据库包括 25 份患有心房颤动（主要是阵发性）的人类受试者的长期心电图记录。其中，23 条记录包括两个 ECG 信号（在 .dat 文件中）；记录 00735 和 03665 仅由节奏 (.atr) 和未经审计的节拍 (.qrs 注释文件) 表示。每个记录的持续时间为 10 小时，包含两个 ECG 信号，每个信号以每秒 250 个样本的速度采样，在 ±10 毫伏范围内具有 12 位分辨率。

OpenDataLab2026-07-12 更新2210

MIT-BIH Arrhythmia Database P-Wave Annotations

心电信号

心律失常检测

This database contains reference P-wave annotations for twelve signals from the MIT-BIH Arrhythmia Database.

DataCite Commons2021-12-16 更新80

Fig 2: Real time behavioral classification

睡眠状态检测

神经信号实时分类

(A) 1 hour of behavioral data illustrating variables used for classification of sleep/wake state, described in descending order. Top shows expanded raw EEG traces from the indicated periods; scale bar

Figshare2021-02-11 更新30

Data_Sheet_1_Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events.pdf

房颤检测

心电信号

BackgroundScreening the general public for atrial fibrillation (AF) may enable early detection and timely intervention, which could potentially decrease the incidence of stroke. Existing screening met

NIAID Data Ecosystem200

ECG dataset UET Lahore

心电信号

健康监测

In our study, we utilized the MESA and Apple Watch datasets as validation datasets to assess the generalizability of proposed methdology. These datasets were chosen for their broad demographic coverag

Figshare2023-12-28 更新70

You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018

资源简介：

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