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Electrocardiogram01:29

Electrocardiogram

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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...
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Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
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Electrocardiogram Fundamentals01:28

Electrocardiogram 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...
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人工智能ASCVD风险分层使用心电图的开发和多国验证.

Bruno Batinica, Evangelos K Oikonomou, Aline F Pedroso

    medRxiv : the preprint server for health sciences
    |January 16, 2026
    PubMed
    概括

    一个新的ECG-ASCVD工具使用心电图 (ECGs) 预测动脉样硬化心血管疾病 (ASCVD) 风险,改善了缺乏传统数据的患者的风险评估. 这使得针对高风险个体进行有针对性的查.

    科学领域:

    • 心脏病学 心脏病学
    • 医疗信息学 医疗信息学
    • 预防医学 预防医学

    背景情况:

    • 动脉样硬化心血管疾病 (ASCVD) 的临床风险得分受到缺少预测数据的限制.
    • 电心电图 (ECG) 是广泛可用的,但在风险预测方面未得到充分利用.
    • 需要可扩展的ASCVD风险评估工具.

    研究的目的:

    • 开发和验证ECG-ASCVD,一种使用ECG的风险预测范式,以识别患ASCVD风险的个体.
    • 评估基于ECG的不同模型 (ECG-ASCVD-12,ECG-ASCVD-IMAGE,ECG-ASCVD-1) 的性能.
    • 模拟ECG-ASCVD的临床实用性,用于有针对性的风险因素评估.

    主要方法:

    • 使用来自耶鲁纽黑文卫生系统 (YNNHS),ELSA-巴西 (ELSA) 和英国生物银行 (UKB) 的数据开发和验证ECG-ASCVD模型.
    • 从12导电图谱信号,ECG图像和1导电信号预测到ASCVD的时间.
    • 使用C指数和危险比率评估模型性能,并对10万名成年人进行部署模拟.

    主要成果:

    • 通过ECG-ASCVD-12,在验证队列中表现出可概括的歧视 (C指数:0.684-0.746).
    • 在对传统分数进行调整后,模型仍然与ASCVD风险独立相关.

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  • 模拟部署表明ECG-ASCVD可以识别缺乏现有得分数据的高风险患者.
  • 结论:

    • 一个ECG-ASCVD工具包被开发和验证在不同的跨国队列.
    • 静止心电图信息具有预测ASCVD风险的巨大潜力.
    • 通过ECG-ASCVD,可以对心血管疾病进行更有针对性的查和风险因素评估.