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相关概念视频

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

314
Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
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Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

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Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
249
Electrocardiogram01:29

Electrocardiogram

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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
Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

1.5K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

313
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
313
Cardiac Output and Stroke Volume01:11

Cardiac Output and Stroke Volume

2.9K
Cardiac output (CO) is an integral aspect of human physiology, reflecting the heart's efficiency and responsiveness to the body's needs. It represents the volume of blood that the left or right ventricle ejects into the aorta or pulmonary trunk each minute. The CO is calculated by multiplying the heart rate (HR)—the number of heartbeats per minute—by the stroke volume (SV)—the amount of blood pumped out with each heartbeat.
In an average resting adult male, the typical cardiac...
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相关实验视频

Updated: Jun 22, 2025

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
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ViViEchoformer:深度视频回归器预测弹射分数

Taymaz Akan1, Sait Alp2, Md Shenuarin Bhuiyan3

  • 1Department of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA 71103, USA.

medRxiv : the preprint server for health sciences
|July 1, 2024
PubMed
概括
此摘要是机器生成的。

一个新的深度学习模型,ViViEchoformer,从心声图视频中准确测量左心室喷射率 (LVEF). 这种自动化方法为评估心脏功能和诊断心力衰竭提供了人类解释的可靠替代方案.

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科学领域:

  • 心脏病学 心脏病学
  • 人工智能的人工智能
  • 医疗成像医学成像

背景情况:

  • 心脏病是全球主要的死亡原因.
  • 准确的射出分数 (EF) 测量对于评估心脏功能和患者的结果至关重要.
  • 人类对回声心电图进行EF测量的解释具有固有的可变性.

研究的目的:

  • 介绍ViViEchoformer,这是一个使用视频视觉转换器的深度学习模型.
  • 为了从心声图视频中完全自动和准确地预测左心室喷射率 (LVEF).
  • 为手动心声图解释提供可靠的替代方案.

主要方法:

  • 开发了ViViEchoformer,一种使用视频视觉转换器的深度学习方法.
  • 在斯坦福大学医院的10,030个角四腔心声回声录像视频上训练了模型.
  • 该模型提取时空符号以捕获空间信息和框架间的关系.

主要成果:

  • 对于EF预测,ViViEchoformer的平均绝对误差为6.14%.
  • 该模型在预测心力衰竭与减少喷射分数 (HFrEF) 中表现出强的表现,AUC为0.83.
  • 实现了87%的分类准确度,用于识别HFrEF.

结论:

  • ViViEchoformer提供精确的,自动化的左心室功能量化来自心声图视频.
  • 该模型为人类评估提供了可靠和准确的替代方案,减少了读者差异.
  • 建立了一个基础工具,以加强临床实践中的心声回声图解读.