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相关概念视频

Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.4K
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...
1.4K
Electrocardiogram01:29

Electrocardiogram

5.3K
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...
5.3K
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

8.7K
The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
8.7K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

11.7K
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...
11.7K
Cardiac Action Potential01:30

Cardiac Action Potential

5.7K
Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
5.7K
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

2.0K
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
2.0K

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相关实验视频

Updated: Jan 14, 2026

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

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电心电图-FM:一个开放的心电图基础模型.

Kaden McKeen1,2,3,4,5, Sameer Masood1,6, Augustin Toma4,7

  • 1Toronto General Hospital Research Institute, University Health Network, Toronto, M5G 2C4, Canada.

JAMIA open
|October 20, 2025
PubMed
概括

电心电图分析的开放式重量基础模型ECG-FM在临床任务上表现出强的性能,提高了标签效率和通用性. 这种模型通过减少对ECG分析的数据和计算要求来加速研究.

关键词:
深度学习是一种深度学习.电心电图 (ECG) 是一种心电图.基础模型的基础模型.自主监督学习学习时间序列分析分析时间序列分析

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High-Throughput Analysis of Optical Mapping Data Using ElectroMap
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High-Throughput Analysis of Optical Mapping Data Using ElectroMap

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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: Jan 14, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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High-Throughput Analysis of Optical Mapping Data Using ElectroMap
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High-Throughput Analysis of Optical Mapping Data Using ElectroMap

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科学领域:

  • 人工智能的人工智能
  • 心脏病学 心脏病学
  • 生物医学信息学 生物医学信息学

背景情况:

  • 电心电图 (ECG) 分析对于诊断心脏病状况至关重要.
  • 当前的深度学习模型往往需要大型标记数据集,这限制了它们的应用.
  • 开发可通用和标签效率高的ECG分析工具是一个重大挑战.

研究的目的:

  • 开发和评估ECG-FM,一种用于ECG分析的开放重量基础模型.
  • 评估其在临床相关任务上的表现,如多标签解释和LVEF预测.
  • 发布ECG-FM和公共基准,以促进透明的研究.

主要方法:

  • 一个基于变压器的基础模型 (ECG-FM) 在150万个12ECG上使用混合自我监督进行了预训练.
  • 使用了特定于心电图的增强,面具重建和对比学习.
  • 使用MIMIC-IV-ECG数据集对多标签心电图解释和LVEF预测进行了性能评估.

主要成果:

  • 精心调整的ECG-FM模型表现优于基线,特别是在低数据制度中,显示出强大的标签效率和通用性.
  • 在心房的高AUROC (0.996) 和LVEF<40% (0.929).
  • 预训练的编码器展示了有区别的嵌入和具有竞争力的线性探测性能.

结论:

  • ECG-FM是一种可通用,标签效率高,以及用于ECG查,风险分层和监测的歧视性模型.
  • 它的表示捕捉了形态和语义心脏信息.
  • ECG-FM,代码和基准的公开发布降低了可重复和可比的ECG研究的障碍.