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相关概念视频

Disturbances in Heart Rhythm01:28

Disturbances in Heart Rhythm

972
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...
972
Pulse rhythm01:30

Pulse rhythm

807
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...
807
Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

925
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.
925
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

21
Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
21
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

222
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,...
222
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

4.7K
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...
4.7K

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相关实验视频

Updated: Jul 9, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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使用卷积神经网络实时检测心律不整.

Thong Vu1, Tyler Petty1, Kemal Yakut2

  • 1School of Engineering and Computer Science, Washington State University, Vancouver, WA, United States.

Frontiers in big data
|December 7, 2023
PubMed
概括
此摘要是机器生成的。

现在可以使用心电图 (ECG) 图像上的卷积神经网络实时检测异常心律 (心律失常). 这一突破使得高效的家庭心脏监测成为可能,改善了心血管疾病的管理.

关键词:
检测异常检测异常检测大数据就是大数据.卷积神经网络是一种卷积神经网络.机器学习是机器学习.聪明的健康智能健康

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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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

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相关实验视频

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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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科学领域:

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

背景情况:

  • 心血管疾病是全球主要的死亡原因.
  • 目前的诊断方法不适合在医院外进行持续的监测.
  • 实时检测心律失常对于长期的心脏健康管理至关重要.

研究的目的:

  • 开发一种实时系统,使用卷积神经网络 (CNN) 检测心律失常.
  • 评估心律失常检测工作流程的运行时间性能和计算成本.
  • 为了证明基于CNN的心律失常检测在家庭监测中的可行性和通用性.

主要方法:

  • 利用卷积神经网络 (CNN) 来从心电图 (ECG) 图像中分类心律失常情况.
  • 进行了广泛的实验,以评估实时处理每个工作流程步骤的计算成本.
  • 在实验室环境中使用自定义可穿戴传感器的数据验证训练模型.

主要成果:

  • 使用CNN实现了可行的实时节律失常检测.
  • 证明了方法的高精度和效率.
  • 通过可穿戴传感器数据证实了模型的通用性.

结论:

  • CNNs可以有效地支持来自心电图像的实时节律失常检测.
  • 开发的方法是准确的,高效的,适合在家进行心脏监测.
  • 这项研究将机器学习与传统诊断相结合,以改善心血管护理.