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相关概念视频

Heart Sounds01:15

Heart Sounds

1.8K
Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V)...
1.8K
Assessment of the Cardiovascular System IV: Auscultation01:25

Assessment of the Cardiovascular System IV: Auscultation

197
Cardiac auscultation is a clinical skill used to assess heart function and detect abnormalities. It involves listening to heart sounds at specific anatomical locations through a stethoscope.
Normal Heart Sounds
S1 (First Heart Sound)-
S1 is made by the closure of the mitral and tricuspid valves (atrioventricular valves), marking the beginning of systole.
S2 (Second Heart Sound)-
S2 is made by the closure of the aortic and pulmonic valves (semilunar valves), marking the end of the systole.
197
Classification of Signals01:30

Classification of Signals

381
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
381
Cardiovascular System Abnormal Findings II: Auscultation01:25

Cardiovascular System Abnormal Findings II: Auscultation

98
Auscultation, an essential part of a heart examination, is done using a stethoscope. It provides crucial information about heart function and possible heart problems. Due to heart problems, abnormal sounds can be heard during systole or diastole. These sounds include S3 and S4 gallops, opening snaps, systolic clicks, and murmurs.
Abnormal Heart Sounds
Gallops:
98
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

622
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
622
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

3.3K
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...
3.3K

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相关实验视频

Updated: May 30, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
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Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

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基于加权双光谱特征的新HCM心声分类方法.

Fang Yu1, Huang Zhiyuan1, Leng Hongxia1

  • 1School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, China.

Physical and engineering sciences in medicine
|January 30, 2025
PubMed
概括

早期诊断高伤心肌病 (HCM) 对于预防心脏骤停至关重要. 这项研究引入了一种新的心声分析方法,用于在年轻患者中准确分类HCM.

关键词:
适应性门权重相互信息的相互信息.双光谱的特征是双光谱的特征.美国有线电视新闻网 (CNN-RF)心脏的声音,心脏的声音.过度缩性心肌病变性是一种心肌疾病.

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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

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Ultrasonic Assessment of Myocardial Microstructure
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Ultrasonic Assessment of Myocardial Microstructure

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相关实验视频

Last Updated: May 30, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
11:13

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

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Ultrasonic Assessment of Myocardial Microstructure
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Ultrasonic Assessment of Myocardial Microstructure

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科学领域:

  • 心脏病学 心脏病学
  • 生物医学工程 生物医学工程
  • 信号处理 信号处理

背景情况:

  • 缩性心肌病 (HCM),包括阻塞性和非阻塞性形式,在青少年和运动员中构成突然心脏骤停的风险.
  • 通过心声听觉进行早期检测对于预防不良事件至关重要,但根据压力梯度区分HCM类型具有挑战性.
  • 目前的诊断方法可能缺乏广泛查所需的效率和成本效益.

研究的目的:

  • 使用心脏声音 (HS) 分析,开发一种高效和具有成本效益的高伤心肌病 (HCM) 分类方法.
  • 使用先进的信号处理技术,准确区分正常,阻塞性HCM和非阻塞性HCM.
  • 为年轻人早期诊断HCM提供可靠的工具.

主要方法:

  • 心脏声音 (HSs) 经过预处理以消除背景噪声.
  • 生成双光谱轮图,并提取56维特征以捕获病理信息.
  • 适应性值权重相互信息方法用于特征选择和权重融合.
  • 一个卷积神经网络-随机森林 (CNN-RF) 分类器被开发用于自动化HCM类型识别.

主要成果:

  • 提出的方法在临床数据集上实现了94.4%的高分类准确度.
  • 该技术成功地区分了正常的心脏声音和两种类型的HCM.
  • 特征提取和选择方法有效地代表了来自心脏声音的病理信息.

结论:

  • 开发的心声分析方法为诊断高伤心肌病 (HCM) 在临床环境中提供了可靠和准确的方法.
  • 这种技术为早期检测HCM提供了一种经济有效的解决方案,特别是在年轻患者中.
  • 这些发现支持使用先进的信号处理和机器学习来进行非侵入性心脏诊断.