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相关概念视频

Electrocardiogram01:29

Electrocardiogram

2.3K
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...
2.3K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

600
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
600
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

1.6K
Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
1.6K
Pulse rhythm01:30

Pulse rhythm

803
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...
803
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

932
An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
932
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

216
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,...
216

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相关实验视频

Updated: Jul 5, 2025

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

Published on: April 26, 2024

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使用深度学习来从心电图中提取时空特征的心力衰竭分类.

Chang-Jiang Zhang1,2, Yuan-Lu2,3, Fu-Qin Tang4

  • 1Taizhou Central Hospital, Affiliated Hospital of Taizhou University, Taizhou, China.

BMC medical informatics and decision making
|January 15, 2024
PubMed
概括

这项研究开发了一种深度学习模型,使用心电图 (ECG) 信号对心力衰竭严重程度进行分类. 该模型实现了高精度,有助于临床诊断和心力衰竭的管理.

关键词:
在CNN-LSTM-SE模型中.深度学习是一种深度学习.心脏衰竭是因为心脏衰竭.这就是MIMIC-III.

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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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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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相关实验视频

Last Updated: Jul 5, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

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

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

  • 心脏病学 心脏病学
  • 生物医学工程 生物医学工程
  • 人工智能在医学中的应用

背景情况:

  • 由于人口老龄化,心力衰竭是一个日益严重的全球健康问题.
  • 电心电图 (ECG) 信号包含有价值的时间和空间特征,用于评估心力衰竭.
  • MIMIC-III数据库为分析患者心电图数据提供了丰富的来源.

研究的目的:

  • 开发一个深度学习模型来分类心力衰竭功能状态.
  • 为了利用心电图信号特征改善心力衰竭诊断.
  • 创建一个用于协助临床医学诊断的自动化工具.

主要方法:

  • 开发了一个深度学习模型,CNN-LSTM-SE带有注意力机制.
  • 电脑心电图信号被细分为2到20秒的间隔.
  • 废弃性研究确定了最佳的12秒心电图段用于分类.

主要成果:

  • 开发的模型实现了高性能指标:99.09%的准确性,98.99%的积极预测值,99.03%的灵敏度和99.65%的特异性.
  • 该模型使用12秒的心电图段显示了心力衰竭的优越分类.
  • 纽约市卫生局的功能分类模型显示出出色的诊断能力.

结论:

  • 拟议的深度学习模型展示了全面的性能,超过了类似的方法.
  • 这种模型可以作为一个有价值的工具,帮助临床医生诊断心力衰竭.
  • 在心电图分析中整合注意力机制对心血管疾病管理有希望.