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相关概念视频

Heart Sounds01:15

Heart Sounds

1.7K
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)...
1.7K
Cardiovascular System Abnormal Findings II: Auscultation01:25

Cardiovascular System Abnormal Findings II: Auscultation

86
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:
86
Assessment of the Cardiovascular System IV: Auscultation01:25

Assessment of the Cardiovascular System IV: Auscultation

174
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.
174
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

786
Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
786
Pulse rhythm01:30

Pulse rhythm

750
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
750

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相关实验视频

Updated: May 24, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

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探索预先训练的通用音频表示,以检测心脏声.

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    这项研究表明,通用音频模型,如蒙面建模二人组 (M2D),可以改善自动心脏声检测. 使用这些模型进行转移学习为心脏听觉提供了一个有希望的方法,即使心脏声音数据有限.

    科学领域:

    • 心脏病学 心脏病学
    • 生物医学工程 生物医学工程
    • 人工智能的人工智能

    背景情况:

    • 自动化心脏听力对于减少对熟练临床医生的依赖至关重要.
    • 对于心声分析的深度学习需要大量的数据集,这些数据集通常是有限的.
    • 一般用途的音频模型提供了预先训练的表示,对专业任务有好处.

    研究的目的:

    • 调查通用音频表示在心脏声检测中转移学习的有效性.
    • 在这种情况下,评估蒙面建模双重 (M2D) 模型的性能.

    主要方法:

    • 利用转移学习与通用音频表示,特别是蒙面建模双重 (M2D) 模型.
    • 在CirCor DigiScope心脏声音数据集上进行了实验.
    • 探索将M2D与其他模型组合在一起,以进一步提高性能.

    主要成果:

    • 蒙面建模双重 (M2D) 模型实现了0.832的加权精度和0.713.71的未加权平均回忆.
    • 将M2D与其他模型组合在一起导致了进一步的性能改进.
    • 证明了通用音频表示在处理心脏声音方面的有效性.

    结论:

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    • 一般用途的音频表示,特别是M2D,在自动心脏声检测中的转移学习中是有效的.
    • 这种方法有望改善心脏听觉,特别是有限的专业数据.
    • 这些发现为人工智能在心血管诊断中的更广泛应用铺平了道路.