机器学习算法用于预测心房动,使用基于左心房重塑的连续12导电图
Ji-Hoon Choi1, Sung-Hee Song2, Hongryul Kim2
1Division of Cardiology, Department of Internal Medicine Konkuk University Medical Center, Konkuk University School of Medicine Seoul Republic of Korea.
Journal of the American Heart Association
|September 30, 2024
概括
与单个心电图分析相比,使用机器学习 (ML) 分析连续心电图 (ECG) 显著改善了对新发性心房 (AF) 的预测. 随着时间的推移检测到的微妙的心脏变化可以提高AF的预测准确性.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 人工智能在医学中的应用
背景情况:
- 在心房发生之前微妙的心脏重塑可能通过连续心电图 (ECG) 分析检测到.
- 机器学习 (ML) 算法为分析复杂的心电图数据提供了潜在的可能性,以预测AF.
- 使用ML进行AF预测的单对串行ECG分析的比较对于改善早期检测至关重要.
研究的目的:
- 为了比较两种ML算法对新发性AF的预测性能:一个分析单个ECG,另一个分析串行ECG.
- 调查串行心电图分析是否可以检测到微妙的心脏重塑,表明未来的AF.
- 评估ML在识别具有发展AF高风险的个体中的有效性.
主要方法:
- 使用光梯度增强算法开发两种ML模型 (单个心电图和串行心电图).
- 在来自176090名患者的415,964个心电图的大数据集上训练ML模型.
- 使用包括灵敏度,特异性,准确性,F1分数和接收器操作特征曲线下的面积在内的指标对模型性能进行外部验证.
主要成果:
- 与单个心电图模型相比,基于串行心电图的ML模型在预测新发性AF方面表现显著优越.
- 序列ML模型实现了更高的灵敏度 (0.810对比0.744),特异性 (0.822对比0.742),精度 (0.816对比0.743) 和AUC (0.880对比0.812).
- 沙普利添加式解释分析确定了P波持续时间和振幅作为关键的预测心电图参数.
结论:
- 使用串行ECG的ML模型比基于单个ECG的模型更具预测新发AF的能力.
- 序列心电图分析有效地捕捉了与未来AF发展相关的不断演变的心脏变化.
- P波形态特征是未来AF预测的重要指标.
相关概念视频
01:28Electrocardiogram Fundamentals
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Introduction
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.
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.
Parts of an ECG
An ECG utilizes electrodes on the skin...
542
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