机器学习识别了人类心肌病中QRS碎片化的节律失调特征:改善风险分层的影响
Cathy Ong Ly1, Adrian M Suszko1, Nathan C Denham1
1Division of Cardiology, Peter Munk Cardiac Center, University Health Network, Toronto, Canada.
Heart rhythm
|November 8, 2024
概括
机器学习在心电图上确定了特定的QRS峰值特征,这些特征可以预测心肌病 (CM) 患者的腹腔失律 (VA). 狭窄的,低振幅的终端QRS峰值在领先V1准确地风险分层患者,不需要临床数据或节奏.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
背景情况:
- 心室节律失常 (VA) 与异质心室激活有关.
- 电心电图 (ECG) 对风险分层的这种异质性的表现并未得到很好的定义.
研究的目的:
- 使用机器学习 (ML) 识别ECG上的时空QRS峰值特征,从而预测心肌病 (CM) 患者的VA.
- 确定这些心电图特征是否可以有效地对CM患者的风险分层.
主要方法:
- 预计加入的CM患者 (n=95) 使用除器接受了高分辨率心电图.
- 在心脏前线的QRS内部峰值被分析为振幅,宽度和时间,形成4bin直方图.
- 随机森林模型被训练来预测VA使用这些特征和临床数据.
主要成果:
- 单个ML模型显示QRS峰幅 (AUROC 0.88),宽度 (0.78) 和位置 (0.84) 预测了VA.
- 一个组合模型确定了V1中的狭窄 (<8毫秒),低振幅 (<31μV) 终端QRS峰值作为最具预测性.
- 当与内在QRS特征相结合时,临床数据和节奏诱导的ECG并没有改善预测.
结论:
- 不律性QRS碎片化,其特点是特定的终端QRS峰值在V1中,是VA的关键预测因素.
- 仅这些心电图特征就足以准确地分类CM患者的风险分层.
- 这种方法为VA风险评估提供了一种非侵入性的方法.
相关概念视频
01:28Disturbances in Heart Rhythm
908
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
908
01:28Mechanism of Cardiac Arrhythmias
891
Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
891
01:29Electrocardiogram
2.2K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
2.2K