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相关概念视频

Pulse rhythm01:30

Pulse rhythm

1.3K
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...
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Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

2.0K
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
2.0K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

11.7K
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...
11.7K
Electrocardiogram01:29

Electrocardiogram

5.3K
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...
5.3K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.4K
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...
1.4K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

323
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
323

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相关实验视频

Updated: Jan 14, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

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从单臂可穿戴心电图通过对比的多任务框架进行动态心脏事件检测.

Xianbin Zhang, Haoke Zhang, Gui-Bin Bian

    IEEE transactions on bio-medical engineering
    |January 12, 2026
    PubMed
    概括

    单臂可穿戴心电图 (ECG) 设备可以可靠地检测心律失常. 一个新的深度学习模型,CLMF-Net,通过杂的单通道臂心电图信号来识别心脏病的高准确性.

    科学领域:

    • 生物医学工程 生物医学工程
    • 心脏病学 心脏病学
    • 人工智能在医学中的应用

    背景情况:

    • 可穿戴的上肢心电图 (ECG) 设备提供了一种动态心脏监测的实用方法.
    • 单通道手臂心电图带来了挑战,因为与标准的12通道心电图相比,噪声更高,形态不同.
    • 通过Arm-ECG可靠地检测心律失常,对于有效的动态心脏评估至关重要.

    研究的目的:

    • 评估单通道臂心电图可靠检测心律失常的能力.
    • 开发和验证用于分析Arm-ECG信号的深度学习框架.
    • 评估拟议模型在不同数据集中的通用性.

    主要方法:

    • 提出了CLMF-Net,这是一个具有多个尺度卷积层的对比多任务框架,用于捕获时间形态模式.
    • 整合了一个细粒度重建分支,以保持微妙的临床特征 (例如,P波,ST段).
    • 采用对比模块来对抗信号质量变化的稳定性,并通过统一的损失函数进行端到端训练.

    主要成果:

    • 在132名老年参与者中,在6分钟的步行测试中确认了动态手臂-心电图的可行性.
    • 通过CLMF-Net,Arm-ECG数据集的准确度达到95.19%,用于识别心律失常.

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  • 在Chapman和CPSC2018数据集上分别显示了95.55%和84.23%的准确性.
  • 结论:

    • 尽管存在噪音和形态方面的挑战,CLMF-Net 能够有效地检测单通道手臂心电图中的节律失常.
    • 学习的表示可能并不总是与临床强调的间隔保持一致,在临床翻译中需要谨慎.
    • 单臂心电图监测显示了对现实世界的心脏健康评估和转化潜力的临床实用性.