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相关概念视频

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

52
Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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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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ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

263
Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
263
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

653
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...
653
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

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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.
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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错误的心电图解读及其临床影响

Ayesha Shaik1,2, Nirav Patel1,2, Chikezie Alvarez1,2

  • 1Division of Cardiology, Hartford Hospital, Hartford, Connecticut, USA.

Journal of cardiovascular electrophysiology
|June 5, 2023
PubMed
概括

人工智能 (AI) 误解心电图 (ECG) 发生在2.0%的病例中,导致不适当的治疗和增加医疗保健成本. 医生必须仔细审查AI解释的心电图,特别是对心房动 (AF).

关键词:
误解了ECG的错误解释人工智能的人工智能是人工智能.心脏节律失常 心脏节律失常临床影响 临床影响电心电图解读的解释一般的做法一般的做法.

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科学领域:

  • 心脏病学 心脏病学
  • 医疗人工智能 医疗人工智能
  • 临床决策支持 临床决策支持

背景情况:

  • 人工智能 (AI) 协助心电图 (ECG) 解释,以快速分组患者.
  • 人工智能误解可能会误导临床医生,可能会影响患者管理.
  • 了解AI心电图误解的发生率和临床意义至关重要.

研究的目的:

  • 为了确定人工智能对心电图误解的频率.
  • 评估这些误解对患者管理的临床影响.
  • 为了确定最容易导致AI误诊的特定心律失常.

主要方法:

  • 从2020年5月到2021年5月,对4969个ECG进行了回顾性分析.
  • 诊断为心房动 (AF),鼻高心率 (ST),鼻胆心率 (SB),心室内导电延迟 (IVCD) 和心房过早收缩 (PAC) 的心电图进行了选.
  • 误解的心电图被分类,并评估它们对药物使用和咨询的影响.

主要成果:

  • 101个心电图 (2.0%) 被误解,错误诊断的AF是最常见的 (58.4%).
  • 误解导致不适当使用β-阻断剂 (19.8%),CCB (5.0%),抗不律性药物 (7.9%) 和抗凝剂 (6.9%).
  • 报告指出,心脏病 (41.6%) 和电生理学 (8.9%) 咨询不合适.

结论:

  • 人工智能对心电图的误解可能会导致低于最佳的医疗疗法和医疗资源利用率的增加.
  • 医生应该保持谨慎,并彻底审查AI解释的心电图,特别是那些表明AF的心电图.
  • 需要加强警,以减轻与心脏病学中人工智能驱动的诊断工具相关的风险.