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相关概念视频

Electrocardiogram01:29

Electrocardiogram

7.2K
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...
7.2K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

13.8K
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...
13.8K
Bode Plots Construction01:24

Bode Plots Construction

1.2K
The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):
1.2K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.7K
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...
1.7K
Instrumentation Amplifier01:25

Instrumentation Amplifier

1.2K
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
1.2K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

16.2K
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....
16.2K

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相关实验视频

Updated: Mar 6, 2026

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

Published on: April 26, 2024

3.3K

在ECG和PCG之间双向翻译.

Sajjad Karimi1, Amit J Shah2, Gari D Clifford3

  • 1Dept. of Biomed. Informatics, Emory University, Atlanta, USA.

... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics
|March 5, 2026
PubMed
概括
此摘要是机器生成的。

同时的心电图 (ECG) 和心电图 (PCG) 记录可用于重建心脏电气和机械活动. 先进的神经网络显示出从PCG重建心电图的前景,有助于多式联络心脏监测.

关键词:
跨模式的学习学习.翻译ECG-PCG 翻译机器学习就是机器学习.功率频谱 的功率频谱.

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Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts
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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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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:

  • 同时的心电图 (ECG) 和心声图 (PCG) 提供了对心脏电气和机械功能的互补洞察.
  • 了解心电图和PCG信号之间的相互作用和可重建性对于先进的心脏监测至关重要.

研究的目的:

  • 调查ECG和PCG信号之间的共享和独特信息.
  • 评估使用各种模型从另一个信号模式重建一个信号模式的可行性.
  • 评估线性和非线性模型的性能,特别是神经网络,用于信号重建.

主要方法:

  • 对EPHNOGRAM数据集的分析,该数据集包含休息和运动期间同时进行的ECG-PCG记录.
  • 应用线性和非线性建模技术,包括非因果神经网络,用于信号重建.
  • 使用信号噪声比 (SNR) 和交叉相关性等指标对重建性能进行定量评估.

主要成果:

  • 非线性模型,特别是非因果神经网络,在重建心脏信号方面表现出卓越的性能.
  • 从PCG重建心电图被发现比反向更可行.
  • 在对象内部分析中,非因果神经网络实现了6.5±5.2dB的SNR和0.78±0.19的交叉相关性,用于基于PCG的心电图重建.

结论:

  • 该研究量化了心脏电气和机械信号之间的电力学关系.
  • 非因果神经网络显示出从PCG数据重建心电图的巨大潜力.
  • 这些发现支持开发新的多式联动心脏监测系统,利用ECG和PCG信号.