Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

762
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,...
762
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

469
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...
469
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

329
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...
329
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
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

422
Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
422
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

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Integrating Distance Correlation and Adaptive Weighting with RBF Kernel Transformations: A Novel Feature Selection Framework with Application to ECG Arrhythmia Detection.

Bioengineering (Basel, Switzerland)·2026
Same author

Obesity-Induced PVAT Dysfunction and Atherosclerosis Development: The Role of GHSR-1a in Increased Macrophage Infiltration and Adipocytokine Secretion.

Journal of cardiovascular development and disease·2025
Same author

COVID-19 in Pregnant Patients at Term: Evolution of Coagulation Factors in Mild Forms throughout the Pandemic: Conventional Analysis and Logistic Regression.

Maedica·2023
Same author

Mesenchymal Stem Cell-Derived Exosomes Modulate Angiogenesis in Gastric Cancer.

Biomedicines·2023
Same author

Multimodality imaging approach of patent foramen ovale: Practical considerations for transient ischemic attack/stroke.

Journal of clinical ultrasound : JCU·2022
Same author

Intelligent Biosignal Processing in Wearable and Implantable Sensors.

Biosensors·2022

相关实验视频

Updated: Jan 16, 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

4.3K

带有单通道特征的心律失常分类,取自"为心律失常研究的大规模12导电图数据库"

Monica Fira1, Liviu Goraș1,2, Lucian Fira2

  • 1Institute of Computer Science, Romanian Academy, Iasi Branch, 700481 Iasi, Romania.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
概括
此摘要是机器生成的。

这项研究表明,来自单个的高级心电图 (ECG) 功能可以准确地分类心律失常. 这种高效的单方法与多性能相匹配,使得可扩展的临床使用成为可能.

关键词:
这是一个ECGECGECGECGECG.心律失常的分类是心律失常的分类.功能提取 特性提取机器学习是机器学习.

更多相关视频

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

9.1K
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

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

Published on: April 11, 2025

1.6K

相关实验视频

Last Updated: Jan 16, 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

4.3K
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

9.1K
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

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

Published on: April 11, 2025

1.6K

科学领域:

  • 生物医学工程 生物医学工程
  • 心脏病学 心脏病学
  • 信号处理 信号处理

背景情况:

  • 自动心律失常分类对于心脏护理至关重要.
  • 传统的心电图 (ECG) 分析通常依赖于多个线索,增加复杂性.
  • 开发高效准确的分类方法对于广泛的临床采用至关重要.

研究的目的:

  • 为了评估经典和现代心电图特征的有效性,从单一引线 (引线II) 进行自动心律失常分类.
  • 为了比较单线心电图分析与多线心电图分析的性能.
  • 评估使用单个ECG线索的效率提升.

主要方法:

  • 利用大规模的12导电心电图数据库进行心律失常研究.
  • 从单个心电图引线中提取了经典的形态特征 (例如QRS持续时间,QT间隔) 和高级的时间,频率和非线性域描述符.
  • 采用了特征选择技术 (例如,MRMR) 和分类算法,用于四种和八种心律失常类别.

主要成果:

  • 在使用15个MRMR选择特征的四类任务中获得了94.2%的准确性.
  • 在一个有29-39个特征的八类任务中达到69%的准确性.
  • 与12个方法相比,预处理,存储和分类时间减少了12倍.

结论:

  • 来自单一线索的高级心电图描述器可以在心律失常分类中实现高精度.
  • 单线心电图分析提供了显著的效率优势,使其适用于可扩展的临床应用.
  • 这种方法有望在资源有限的环境中提高诊断能力.