在职业足球中创新的12导休息心电图数据集
Adolfo Antonio Munoz-Macho1,2, Manuel Jesus Dominguez-Morales1, Jose Luis Sevillano-Ramos1
1Computer Architecture and Technology Department, University of Seville, Avda. Reina Mercedes s/n. C.P., 41012 Sevilla, Spain.
Data in brief
|May 6, 2024
概括
这项研究介绍了Pro-Football 12-lead休息心电图数据库 (PF12RED),这是精英足球运动员的独特ECG数据集. 本资源支持机器学习模型开发和体育心脏病学研究.
科学领域:
- 心脏病学 心脏病学
- 运动医学 运动医学
- 生物医学工程 生物医学工程
背景情况:
- 现有的心电图 (ECG) 数据集往往缺乏精英运动员的数据,他们的生理特征因强度训练而有所不同.
- 了解这些独特的心电图形状对于专业体育运动中准确的心脏评估至关重要.
研究的目的:
- 引入职业足球12领先的休息心电图数据库 (PF12RED),这是一个专门针对精英足球运动员的新型心电图数据集.
- 为机器学习 (ML) 模型开发和体育心脏病学研究提供资源,遵守国际解释标准.
主要方法:
- 一项前性观察队列研究,涉及来自西甲的54名男性职业足球运动员.
- 采集了163个10秒休息12心电图记录在多个季节使用GE医疗设备和软件.
- 从安达卢西亚自治区伦理委员会获得道德认可,经过知情同意和匿名化程序.
主要成果:
- PF12RED数据集包括163个精英足球运动员的10秒休息的12心电图记录.
- 在多个季节的五个阶段收集数据,确保全面了解心脏活动.
- 数据集是以道德为基础的,匿名的,遵守赫尔辛基宣言和ICMJE建议.
结论:
- PF12RED数据集是国际比较运动员心脏特征的宝贵资源.
- 它促进了ML模型的开发和验证,用于体育心脏病学的心律失常检测和诊断方法.
- 该数据集将支持对运动员特定心脏适应性的研究,为运动员保护政策提供信息,并帮助培训卫生专业人员.
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An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
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