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相关概念视频

Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

317
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
317
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

2.5K
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 heart...
2.5K
Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

1.6K
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.
1.6K
Electrocardiogram01:29

Electrocardiogram

5.3K
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...
5.3K
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

446
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...
446
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

738
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,...
738

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相关实验视频

Updated: Jan 12, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

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ECG-XPLAIM:可解释的局部适应的人工智能模型,用于从大规模心电图数据中检测心律失常.

Panteleimon Pantelidis1, Samuel Ruipérez-Campillo2, Julia E Vogt2

  • 13rd Department of Cardiology, National and Kapodistrian University of Athens, Athens, Greece.

Frontiers in cardiovascular medicine
|November 3, 2025
PubMed
概括

人工智能模型ECG-XPLAIM使用深度学习准确检测心律失常,并通过突出显示关键心电图段来提供可解释的结果. 它的开源发布促进了更广泛的临床采用和验证.

关键词:
节律失常 (arrhythmia) 是一种心律失常.人工智能的人工智能是人工智能.心脏信号的心脏信号深度学习是一种深度学习.电心电图 (ECG) 是一种心电图.可以解释性的解释性.机器学习是机器学习.

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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Semi-automated Optical Heartbeat Analysis of Small Hearts
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相关实验视频

Last Updated: Jan 12, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

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Semi-automated Optical Heartbeat Analysis of Small Hearts
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Semi-automated Optical Heartbeat Analysis of Small Hearts

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科学领域:

  • 人工智能在医学中的应用
  • 心脏病学 心脏病学
  • 机器学习用于医疗保健

背景情况:

  • 准确的心电图 (ECG) 解释对于患者的治疗结果至关重要.
  • 基于人工智能的心电图分类显示出希望,但缺乏透明度.
  • 有限的解释性阻碍了AI在心电图分析中的临床采用.

研究的目的:

  • 引入ECG-XPLAIM,这是一种用于可解释的心电图分类的新型深度学习模型.
  • 通过使用Grad-CAM可视化进行心电图分析来提高AI模型的透明度.
  • 评估ECG-XPLAIM在各种心律失常症中的性能和通用性.

主要方法:

  • 开发了ECG-XPLAIM,具有1D初始风格的卷积架构.
  • 集成的Grad-CAM可用于可视化心电图段驱动预测.
  • 经过MIMIC-IV培训并通过PTB-XL验证,用于多种心律失常类型.

主要成果:

  • 在MIMIC-IV上,ECG-XPLAIM实现了高诊断性能 (灵敏度,特异性,AUROC>0.9).
  • 对PTB-XL的外部验证证实了概括性,AFib和STach.的AUROC>0.95为AFib和STach.
  • 格拉德-CAM确定了生理学上相关的心电图段和潜在的错误分类模式.

结论:

  • 在ECG分析中,ECG-XPLAIM有效地将高诊断精度与可解释性结合在一起.
  • 开源版本的ECG-XPLAIM促进了更广泛的采用和进一步的研究.
  • 解决AI解释性的局限性可以加速AI驱动的ECG工具的临床整合.