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相关概念视频

Cardiovascular System Abnormal Findings II: Auscultation01:25

Cardiovascular System Abnormal Findings II: Auscultation

100
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:
100
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
Mitral Regurgitation II: Clinical features and Diagnostic Tests01:23

Mitral Regurgitation II: Clinical features and Diagnostic Tests

2
Mitral regurgitation (MR) is a valvular heart disorder in which the mitral valve fails to close tightly, allowing blood to leak backward into the heart. Understanding the clinical manifestations, assessment, diagnostic findings, and medical management of MR is crucial to effectively managing affected patients.Clinical Manifestations of Mitral RegurgitationMitral regurgitation can be acute or chronic, each presenting differently and requiring different approaches:1. Acute Mitral...
2
Pulse rhythm01:30

Pulse rhythm

763
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...
763
Mitral Valve Prolapse II: Assessment and Management01:22

Mitral Valve Prolapse II: Assessment and Management

2
IntroductionA range of clinical features characterizes Mitral Valve Prolapse (MVP), but it is important to note that many individuals with MVP are asymptomatic and may remain so throughout their lives. For those who do exhibit symptoms, the following are the key clinical features:Palpitations: This is a common symptom where individuals feel an irregular or rapid heartbeat. Palpitations in MVP are often due to arrhythmias such as premature ventricular contractions or supraventricular...
2

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相关实验视频

Updated: Jun 5, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts
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基于机器学习的心脏声检测和分类.

Ishan Fernando1, Dileesha Kannangara1, Santhusha Kodituwakku1

  • 1Department of Electronic and Telecommunication Engineering, University of Moratuwa, Bandaranayake Mawatha, Moratuwa, Western, 10400, SRI LANKA.

Biomedical physics & engineering express
|December 5, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种机器学习框架,用于使用心电图 (PCG) 信号早期检测心脏声. 该系统准确地识别声并对其临床结果进行分类,有助于诊断心血管疾病.

关键词:
心血管疾病的心血管疾病.深度学习是一种深度学习.心脏的分类心脏的分类检测心脏声 检测心脏声转移学习转移学习

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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
  • 人工智能的人工智能

背景情况:

  • 心血管疾病是全球主要的死亡原因.
  • 早期发现心脏病,如心脏声,对于有效治疗至关重要.
  • 心电图 (PCG) 信号提供了有价值的诊断信息.

研究的目的:

  • 开发一种新的机器学习 (ML) 框架,用于早期检测和分类心脏声.
  • 分析心脏声的特征,包括存在,临床结果和质量.
  • 通过使用PCG信号,利用ML改善心血管疾病诊断.

主要方法:

  • 一个多阶段的ML管道被设计用于心脏声分析.
  • 转移学习方法用于最初的声存在分类.
  • 1D卷积和音频谱变压器用于临床结果分类.
  • 使用Wav2Vec编码器和AdaBoost分类器来识别杂音质量.

主要成果:

  • 实现了81.08%的验证准确度,用于声存在的分类.
  • 获得了68.23%的临床结果分类验证准确度.
  • 在分类任务中展示了60.52%的灵敏度和74.46%的特异性.
  • 利用PhysioNet 2022数据集进行模型培训和验证.

结论:

  • 拟议的ML框架显示了基于PCG的心脏声检测和分类的前景.
  • 这种方法有助于早期识别和质量分析心脏声.
  • 这些发现对心血管疾病的诊断和管理有重大影响.