使用机器学习技术分析职业足球运动员的ECG信号
A A Munoz-Macho1,2, M J Dominguez-Morales1, J L Sevillano-Ramos1
1Computer Architecture and Technology Department, University of Seville, Spain.
Heliyon
|March 11, 2024
概括
这项研究为职业足球运动员创建了一个新的心电图 (ECG) 数据库,并开发了人工智能工具来检测心律失常,改善运动员的心脏健康监测. 研究结果显示,机器学习能够准确地识别运动员的鼻肌梗塞.
科学领域:
- 运动医学 运动医学
- 心脏病学 心脏病学
- 医疗保健中的人工智能
背景情况:
- 突然心脏骤停是足球界的一个关键问题,与一般人群相比,职业球员表现出明显的心电图 (ECG) 信号.
- 现有关于运动员心电图的研究是有限的,尽管对一般人群进行了广泛的研究.
研究的目的:
- 为精英男性足球运动员建立一个全新的12位领先的休息心电图数据库.
- 开发一个用于ECG可视化,无噪声,过和自动波标签的自由软件工具.
- 利用机器学习 (ML) 来分析心电图波形和自动化心律失常诊断.
主要方法:
- 一项前性观察队列研究从54名西甲职业足球运动员那里收集了10秒,12领先的ECG.
- 创建了职业足球12领先的休息心电图数据库 (PF12RED),包含163个XML格式的心电图.
- 开发了"心电图可视化器"软件,并应用了三种ML方法来诊断鼻肌梗塞.
主要成果:
- 成功建立了PF12RED数据库.
- 创建了"ECG可视化器"软件,使信号处理和分析成为可能.
- 机器学习模型在自动诊断鼻肌梗塞方面表现出实用性.
结论:
- 人工智能和ML可以准确地检测运动员的简单心律失常.
- 该研究提供了有价值的心电图数据集和运动员心脏健康的免费软件应用程序.
- 这项工作增强了专业足球运动员心脏病的自动诊断潜力.
相关概念视频
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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
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An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
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