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相关概念视频

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

8.5K
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...
8.5K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

123
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...
123
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

425
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,...
425
Pulse rhythm01:30

Pulse rhythm

937
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
937
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

173
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...
173
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

1.3K
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...
1.3K

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相关实验视频

Updated: Sep 18, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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使用1D卷积神经网络优化节拍智能输入以检测心律失常:现实世界的心电图研究

Sunghan Lee1, Guangyao Zheng2, Jeonghwan Koh3

  • 1Cerebrovascular Disease Research Center, Hallym University, Chuncheon, 24252, Republic of Korea.

Computer methods and programs in biomedicine
|June 24, 2025
PubMed
概括

穿戴式设备的最佳心律失常检测使用四次心跳,平衡准确性和效率. 这种机器学习方法增强了实时移动健康应用程序,用于不规则的心跳诊断.

关键词:
检测心律失常的检测方式节奏明智的处理.生物信号是一种生物信号.卷积神经网络 (CNN) 是一种神经网络.电心电图 (ECG) 是一种心电图.

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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相关实验视频

Last Updated: Sep 18, 2025

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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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

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科学领域:

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

背景情况:

  • 心律失常在现实环境中存在诊断挑战.
  • 机器学习有助于检测心律失常,但最佳输入大小尚未研究.
  • 评估跨患者间和患者内疾病的表现至关重要.

研究的目的:

  • 确定心律失常的最佳数量,以准确地进行心律失常的分类.
  • 在不同的患者条件下评估机器学习模型的性能.
  • 评估移动健康 (mHealth) 部署的绩效和资源的权衡.

主要方法:

  • 预处理的心电图 (ECG) 信号使用节拍细分和重新采样.
  • 采用1D卷积神经网络来分类8种多标签的心律失常.
  • 通过对现实世界和数据库ECG数据的组合进行五倍交叉验证,验证了模型性能.

主要成果:

  • 在患者间条件下,最高准确度 (94.82%) 达到4次心跳.
  • 观察到超过四次节拍的最小性能增长.
  • 在大规模模拟中实时检测的可行性已被证明 (约. 5000名患者) 的患者.

结论:

  • 四次心跳为心律失常的分类提供了准确性和计算效率之间的最佳平衡.
  • 这些发现对于资源有限的实时可穿戴心电图设备至关重要.
  • 为设计可扩展和高效的mHealth心律失常检测系统提供参考.