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相关概念视频

Electrocardiogram01:29

Electrocardiogram

2.0K
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...
2.0K
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

1.4K
Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
1.4K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

471
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...
471
Pulse rhythm01:30

Pulse rhythm

749
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...
749
Heart Failure Drugs: β-Blockers01:22

Heart Failure Drugs: β-Blockers

303
β-adrenergic antagonists, commonly known as β-blockers, block the effects of sympathetic neurotransmitters such as noradrenaline (NA) and adrenaline (ADR). They have several beneficial effects in heart failure treatment. They reduce heart rate, the force of contraction, and cardiac muscle relaxation. They also slow the atrial-ventricular conduction rate and raise the threshold for arrhythmias. The concentration of β-blockers determines their effects on bronchodilation,...
303

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相关实验视频

Updated: May 23, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

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使用多点心电图和深度学习识别心力衰竭动态.

Yu Nishihara1, Makoto Nishimori2, Satoki Shibata3

  • 1Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Hospital, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan.

European heart journal. Digital health
|May 21, 2025
PubMed
概括

一个新的深度学习模型使用心电图 (ECG) 准确检测心力衰竭 (HF) 状态变化. 这种非侵入性工具有助于早期干预和持续的高频监测,改善患者的治疗结果.

关键词:
大脑天然尿素.深度学习是一种深度学习.电心电图 (ECG) 是一种心电图.心脏衰竭是因为心脏衰竭.

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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

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相关实验视频

Last Updated: May 23, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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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
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 心力衰竭 (HF) 住院病例与生存率低下有关,需要早期干预.
  • 深度学习 (DL) 显示出通过心电图 (ECG) 检测高频率的前景,但其在持续监测中的作用尚不清楚.
  • 目前的监测方法可能是侵入性的或昂贵的,突出了需要可访问的替代品.

研究的目的:

  • 开发和评估一个DL模型,用串行ECG检测高频状态的变化.
  • 加强早期干预和持续高频监测能力,在不同的医疗保健机构.
  • 评估模型在分类高频状态变化 (恶化,改善,无变化) 中的性能.

主要方法:

  • 基于变压器的DL模型使用来自6,531名成年患者的30171个心电图进行了开发.
  • 在两个不同的时间点收集了ECG,以分析HF状态的变化.
  • 模型性能使用AUROC和准确度进行评估;注意力映射用于可解释性.

主要成果:

  • 对于高频状态分类,DL模型实现了0.889的AUROC和0.871的准确性.
  • 该模型有效地根据ECG波形信号识别了高频状态的变化.
  • 注意力映射为模型的决策过程提供了洞察力.

结论:

  • 基于变压器的DL模型准确地检测高频状态变化,提供一种非侵入性的监控工具.
  • 这种方法减少了对侵入性和昂贵的诊断程序的需求.
  • 该模型具有可访问和高效的高频管理的潜力,支持早期干预.