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相关概念视频

Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

2.5K
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
2.5K
Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

1.6K
Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
1.6K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

312
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...
312
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...
1.3K
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

8.7K
The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
8.7K
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

724
Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
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相关实验视频

Updated: Jan 9, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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检测心律失常利用深度学习卷积神经网络

Jakob Botvidsson, Luca Mainardi, Valentina D A Corino

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    这项研究开发了一种深层卷积神经网络 (DCNN),使用光聚光学 (PPG) 信号来检测心房动 (AF). 该DCNN显示为选心律不整,如AF和早发性收缩的承诺.

    科学领域:

    • 心脏病学 心脏病学
    • 人工智能的人工智能
    • 生物医学信号处理

    背景情况:

    • 心律不整,包括心房动 (AF),越来越常见,并提高中风和心力衰竭的风险.
    • 光电显微镜 (PPG) 信号提供了一种非侵入性方法来监测心血管健康.

    研究的目的:

    • 开发和评估一个深度卷积神经网络 (DCNN) 用于区分心房动 (AF) 与鼻节律 (SR) 和使用PPG信号的过早收缩.

    主要方法:

    • 一个1D VGG16-Net模型在91名患者的46827个10秒原始PPG信号段上接受了训练.
    • 该模型使用10倍交叉验证和独立测试数据集进行了评估.

    主要成果:

    • 在交叉验证过程中,DCNN在0.895 ± 0.03的平衡准确度.
    • 独立测试在区分SR,早发收缩和AF之间产生了0.8279的平衡精度.

    结论:

    • 使用PPG数据,DCNN展示了区分正常鼻节律,早发收缩和心房动的能力.
    • 需要进一步提高模型准确性,但基于PPG的AF和早发性收缩查已得到验证.

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