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相关概念视频

Electrocardiogram01:29

Electrocardiogram

2.4K
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...
2.4K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

608
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...
608
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

5.8K
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...
5.8K
Pulse rhythm01:30

Pulse rhythm

807
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...
807

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相关实验视频

Updated: Jul 10, 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

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一个开源的图形用户界面嵌入式自动化心电图质量评估:一个平衡的类表示方法.

Mohamed Elgendi1, Kirina van der Bijl1, Carlo Menon1

  • 1Biomedical and Mobile Health Technology Lab, Department of Health Sciences and Technology, ETH Zurich, 8008 Zurich, Switzerland.

Diagnostics (Basel, Switzerland)
|November 24, 2023
PubMed
概括

高质量的心电图 (ECG) 诊断对于心血管健康至关重要. 我们的新模型自动化了心电图质量评估,即使在不平衡的数据中也实现了高精度,改善了临床诊断.

关键词:
在CNN-LSTM模型中.人工智能的人工智能是人工智能.数字健康数字健康数字医学是数字医学.电心电图 (ECG) 是一种心电图.用户友好的工具箱.

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Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
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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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相关实验视频

Last Updated: Jul 10, 2025

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科学领域:

  • 生物医学工程 生物医学工程
  • 医疗保健中的人工智能
  • 心脏病学 心脏病学

背景情况:

  • 心血管疾病正在上升,增加了对精确心电图 (ECG) 诊断的需求.
  • 高质量的心电图记录对于可靠的诊断解释至关重要.
  • 需要自动化的心电图质量评估,以提高临床环境中的效率和准确性.

研究的目的:

  • 开发和评估CNN-LSTM模型用于自动ECG质量评估.
  • 评估模型在不同信号质量比率的数据集中的性能.
  • 调查训练数据类分布对模型可靠性的影响.

主要方法:

  • 开发了一个卷积神经网络-长期短期记忆 (CNN-LSTM) 模型.
  • 在临床环境中收集的平衡数据集上训练模型,包括真实噪音源.
  • 通过使用三组数据集评估模型,这些数据集具有不同比例的可接受和不可接受的心电图信号.

主要成果:

  • 在CNN-LSTM模型中,在各种数据集中,F1得分高,从95.87%到98.40%不等.
  • 与模拟相比,使用真实噪声源的训练在现实场景中表现出更好的适用性.
  • 观察到F1得分的显著下降,当阶级代表从平衡到不平衡的比例转移时.

结论:

  • 开发的CNN-LSTM模型为自动ECG质量评估提供了实用和准确的解决方案.
  • 该研究强调,在培训和测试心电图质量模型中,均衡的班级代表性至关重要.
  • 研究结果强调,需要在未来的研究中仔细考虑数据分布,以获得可靠的AI驱动诊断工具.