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相关概念视频

Electrocardiogram01:29

Electrocardiogram

1.6K
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...
1.6K
Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

847
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.
847
Disturbances in Heart Rhythm01:28

Disturbances in Heart Rhythm

699
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...
699
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

149
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,...
149
Increased pulse rate01:17

Increased pulse rate

620
Tachycardia is a condition marked by an abnormally fast or irregular heart rate, surpassing the typical resting rate. In adults, tachycardia is characterized by a pulse rate ranging from 100 to 180 beats per minute. The increased heart rate can result in inadequate blood flow to various body parts, ultimately diminishing the oxygen supply to organs and tissues.
Many factors can elevate the risk of developing tachycardia. These include advanced age, a family history of arrhythmias, and an...
620
Pulse rhythm01:30

Pulse rhythm

717
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...
717

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相关实验视频

Updated: May 7, 2025

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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一个改进的心电图心律失常分类性能与功能优化优化.

Annisa Darmawahyuni1,2, Siti Nurmaini3, Bambang Tutuko2

  • 1Faculty of Engineering, Universitas Sriwijaya, Palembang, 30139, Indonesia.

BMC medical informatics and decision making
|December 30, 2024
PubMed
概括
此摘要是机器生成的。

浅特征提取和元听觉优化在心电图 (ECG) 失常症分类中实现了100%的准确性. 这种方法有效地识别了关键的心电图特征,用于准确的诊断.

关键词:
节律失常 (arrhythmia) 是一种心律失常.电心电图信号的信号功能提取 功能提取功能选择 功能选择机器学习是机器学习.

更多相关视频

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

Published on: April 11, 2025

173
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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相关实验视频

Last Updated: May 7, 2025

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

3.5K
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

173
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

8.5K

科学领域:

  • 心脏病学 心脏病学
  • 生物医学工程 生物医学工程
  • 数据科学数据科学数据科学

背景情况:

  • 电心电图 (ECG) 数据分析对心律不整的分类面临挑战,因为大型数据集和众多潜在的特征.
  • 临床症状越来越复杂,需要有效的特征识别,以避免错误分类.

研究的目的:

  • 为了确定最优的特征,准确的心电图心律失常分类.
  • 为了评估与元启发优化相结合的浅层和深层特征提取技术.

主要方法:

  • 应用浅层和深层特征提取技术对心电图信号.
  • 使用一个元启发式优化算法来进行特征选择后提取.

主要成果:

  • 浅层特征提取 (时间域分析) 与元启发式优化优于其他方法.
  • 选择1-3个RR区间特征,可以实现100%的准确性,灵敏性,特异性和精度.

结论:

  • 拟议的端到端架构简单,复杂度低.
  • 这种方法对于实际的ECG心律失常分类应用非常有效.