基于深度学习的患者间,患者内部和患者特定培训的调查,用于对心跳失常症的分类
Reza Bahrami1, Ali Mohammad Fotouhi2
1Electrical Engineering Department, Tafresh University, Tafresh, 39518-79611, Iran.
Cardiovascular engineering and technology
|February 26, 2025
概括
这项研究比较了三种心电图 (ECG) 数据分割方法,用于深度学习心律失常的检测. 针对患者的具体方法证明了个性化心电图分析的卓越性能和实用性.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 生物医学工程 生物医学工程
背景情况:
- 使用深度学习的自动心电图 (ECG) 信号分类对于检测心律不整至关重要.
- 缺乏标准化的数据分割方法,阻碍了对ECG分析的深度学习模型进行公平的比较.
- 数据集分布范式 (患者间,患者内,患者特定) 显著影响模型性能.
研究的目的:
- 调查三种不同的火车测试数据集分布范式对ECG心律失常分类深度学习模型性能的影响.
- 在卷积神经网络 (CNN) 模型的背景下,评估患者间,患者内部和患者特定范式的有效性.
- 为了确定最实用和高性能的数据分割策略来检测心律失常.
主要方法:
- 用一个卷积神经网络 (CNN) 深度学习模型将心律失常分为五个不同的类别.
- 这项研究系统地分析了CNN模型在三种不同的数据集分布范式下的表现:患者间,患者内和患者特定.
- 使用标准指标对广泛认可的心律失常数据集进行表现评估.
主要成果:
- 患者特定分布模式在所有评估指标中实现了最高的平均绩效.
- 该研究发现,基于所选择的数据分割范式,模型结果存在显著差异.
- 患者特异性方法被证明是对ECG心律失常的分类最有效的方法.
结论:
- 患者特异性数据分割范式为基于深度学习的ECG心律失常分类提供了卓越的性能.
- 这种方法非常实用,适合开发针对患者的定制设备,用于实时ECG心律失常监测.
- 标准化数据分割方法,特别是针对患者的方法,对于推进可靠的自动化心电图分析至关重要.
相关概念视频
Pulse rhythm
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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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Disturbances in Heart Rhythm
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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...
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
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Mechanism of Cardiac Arrhythmias
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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.
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ECG Interpretation of Arrhythmias I: Sinus Arrhythmias
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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,...
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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Special considerations while measuring pulse
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Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
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