Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

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

594
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...
594

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The Moderating Role of Interpersonal Harmony on Nonattachment and Well-Being Among Chinese Junior High School Students.

Journal of adolescence·2026
Same author

Clinical implementation of 3D deep learning techniques in predicting touch-up lesions for atrial fibrillation patients undergoing cryoablation.

International journal of cardiology. Heart & vasculature·2026
Same author

Digital Twins for Predictive Modelling of Thrombosis and Stroke Risk: Current Approaches and Future Directions.

Thrombosis and haemostasis·2026
Same author

Assessing the Evolution and Influence of Medical Open Databases on Biomedical Research and Health Care Innovation: A 25-Year Perspective With a Focus on Privacy and Privacy-Enhancing Technologies.

Journal of medical Internet research·2026
Same author

Echocardiographic Evaluation in Children with Post-Acute Sequelae of SARS-CoV-2 Infection Using Deep Learning.

Journal of imaging informatics in medicine·2026
Same author

Artificial Intelligence Applications in the Diagnosis, Treatment, and Prognosis of Hepatocellular Carcinoma.

Gut and liver·2025
Same journal

Real-time EEG-based epileptic seizure prediction using artificial intelligence: A systematic review.

Artificial intelligence in medicine·2026
Same journal

R-peak detection and ECG data compression scheme based on empirical mode decomposition and wavelet transform.

Artificial intelligence in medicine·2026
Same journal

CastNet: A three-channel EEG-based deep learning model for cross-subject depression detection.

Artificial intelligence in medicine·2026
Same journal

State-of-the-art TinyML approaches for colorectal cancer detection: Current advances, challenges, and future directions.

Artificial intelligence in medicine·2026
Same journal

JRadiEvo: A Japanese radiology report generation model enhanced by evolutionary optimization of model merging.

Artificial intelligence in medicine·2026
Same journal

Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care.

Artificial intelligence in medicine·2026
查看所有相关文章

相关实验视频

Updated: Jul 1, 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

Published on: April 26, 2024

1.8K

通过有效的彩色方法改进深度学习心电图分类.

Wei-Wen Chen1, Chien-Chao Tseng1, Ching-Chun Huang1

  • 1Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

Artificial intelligence in medicine
|March 10, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的色化技术,通过整合患者人口统计数据来改进心电图 (ECG) 分析. 这种方法提高了心血管疾病分类的准确性,有助于精准医学.

关键词:
心房动是一种心房动.深度学习是一种深度学习.人口统计信息 人口统计信息电脑电图的颜色化功能色彩 功能色彩 功能色彩在PTB-XL中使用.

更多相关视频

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

3.7K
Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice
04:45

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Published on: May 5, 2022

2.4K

相关实验视频

Last Updated: Jul 1, 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

Published on: April 26, 2024

1.8K
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

3.7K
Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice
04:45

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Published on: May 5, 2022

2.4K

科学领域:

  • 心脏病学 心脏病学
  • 医疗信息学 医疗信息学
  • 数据科学数据科学数据科学

背景情况:

  • 心血管疾病,尤其是心律失常,是全球主要的死亡原因.
  • 电心电图 (ECG) 分析对于诊断心血管疾病至关重要.
  • 将人口统计数据纳入心电图分析是一个重大挑战.

研究的目的:

  • 开发一种创新的ECG分类方法,将患者的人口信息纳入其中.
  • 通过一种新的颜色化技术来增强心电图分析和支持精密医学.

主要方法:

  • 人口特征被映射到 (R,G,B) 颜色空间使用规范化缩放.
  • 每个人口特征都被赋予一个独特的颜色,应用于不同的心电图导线.
  • 统计特征中的颜色相关性被保留,以保持数据关系.

主要成果:

  • 在PTB-XL数据集上,在ROC曲线下面积的表现得到了1%-6%的改善.
  • 在多类和具有挑战性的心电图分类任务中表现卓越.
  • 结合色彩和波形,为深度学习模型提供了更高的预测准确度.

结论:

  • 彩色化是一种有前途的技术,可以促进心电图分类和诊断.
  • 该方法提高了心血管疾病的预测和诊断.
  • 这种方法有助于改善心血管保健的临床结果.