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相关概念视频

Dysrhythmias II: Classification of Tachyarrhythmias01:28

Dysrhythmias II: Classification of Tachyarrhythmias

496
Tachyarrhythmias are a type of dysrhythmia where the heart rate exceeds 100 beats per minute. Here are some common types of tachyarrhythmias:Sinus TachycardiaSinus tachycardia originates from increased impulses from the sinus node, leading to an elevated heart rate. It is often triggered by stress, fever, or exercise.Patients may experience palpitations, a sensation of a racing heart, dizziness, and chest discomfort.Causes and Risk Factors: Common causes include physical exertion, emotional...
496
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

328
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...
328
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

11.7K
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...
11.7K
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

465
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...
465
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

753
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,...
753
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

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相关实验视频

Updated: Jan 15, 2026

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

Published on: December 11, 2019

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一个新的多式自主监督框架,用于ECG心律失常的分类.

Jianqiang Hu1, Cheng Li2, Jinde Cao1

  • 1School of Mathematics, Southeast University, Nanjing 210096, China.

Computers in biology and medicine
|October 7, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的自我监督学习框架,用于心电图 (ECG) 失常症分类. 该方法有效地利用未标记的心电图数据,优于标准方法和监督学习以提高准确性.

关键词:
相反的学习学习.在ECG分类中使用ECG分类.自主监督学习学习时间频率时间频率.

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

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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相关实验视频

Last Updated: Jan 15, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

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

Published on: December 11, 2019

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

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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科学领域:

  • 生物医学工程 生物医学工程
  • 机器学习 机器学习
  • 心脏病学 心脏病学

背景情况:

  • 电心电图 (ECG) 对于诊断心血管疾病至关重要.
  • 有注释的ECG数据的高成本限制了监督学习.
  • 自主监督学习 (SSL) 可以利用丰富的未标记的心电图数据.

研究的目的:

  • 提出一种新的多式联通自主监督的框架,用于ECG心律失常的分类.
  • 通过使用时间和频率域表示来增强ECG信号特征的学习.
  • 改进对ECG分类任务的模型初始化.

主要方法:

  • 开发了一个简单的多式联通自主监督的ECG预培训框架.
  • 利用具有时间域和时间频率损失的对比学习.
  • 评估了多线和单线心电图数据集的方法.

主要成果:

  • 拟议的预培训方法显著改善了下游分类性能.
  • 在精度 (ACC) 和曲线下的面积 (AUC) 方面表现优于标准的对比学习范式.
  • 与传统的监督学习方法相比,取得了更好的结果.

结论:

  • 多式联网自主监督框架有效地学习了ECG信号特征.
  • 这种方法减轻了对广泛的标记ECG数据的需求.
  • 为增强基于心电图的疾病分类提供了一个有希望的方向.