PhysioNet挑战赛-2015数据集心室性心动过速警报模型性能对比

资源简介

PhysioNet挑战赛-2015数据集心室性心动过速警报模型性能对比

【数据集背景】

本数据集源站标题为《Comparison of performance of the proposed model against other algorithms for alarm type of Ventricular Tachycardia arrhythmia on the PhysioNet challenge-2015 dataset.》。配套论文《Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks》发表于 PLOS ONE（2020），DOI：10.1371/journal.pone.0226990。源站首次发布：2020-01-10。

【数据内容】

源站原始描述：Comparison of performance of the proposed model against other algorithms for alarm type of Ventricular Tachycardia arrhythmia on the PhysioNet challenge-2015 dataset

【数据结构与技术规格】

文件数 1 个，合计 5.63 KB。Table 4.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pone.0226990.t004。

【主题与分类】

源站学科分类：Space Science、Biotechnology、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Mathematical Sciences not elsewhere classified。主题标签：evaluation results、method obtains、alarm classification、attention-based convolutional、time-invariant features、arrhythmia analysis、rule-based methods、Ventricular Tachycardia arrhythmia、single-lead ECG、arrhythmia alarm reduction。

【适用方向】

源站学科分类标注为 Space Science、Biotechnology、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Mathematical Sciences not elsewhere classified。

【获取与许可】

源站页面：https://plos.figshare.com/articles/dataset/Comparison_of_performance_of_the_proposed_model_against_other_algorithms_for_alarm_type_of_Ventricular_Tachycardia_arrhythmia_on_the_PhysioNet_challenge-2015_dataset_/11570223

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Mousavi, Sajad; Fotoohinasab, Atiyeh; Afghah, Fatemeh (2020). Comparison of performance of the proposed model against other algorithms for alarm type of Ventricular Tachycardia arrhythmia on the PhysioNet challenge-2015 dataset.. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-03，引用时请注意版本时效。