基于多特征多路径并行深卷积神经网络和改进的焦点损失的节律失常分类.
Zhongnan Ran1, Mingfeng Jiang2, Yang Li2
1School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Mathematical biosciences and engineering : MBE
|June 14, 2024
概括
这项研究引入了一个深度学习模型,用于从心电图信号准确地分类心律失常. 该方法通过解决节拍相似性和数据不平衡,提高诊断能力来改善检测.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 人工智能的人工智能
背景情况:
- 早期诊断心电图 (ECG) 异常对于预防和检测心律失常疾病至关重要.
- 现有的心律失常分类方法由于相似的正常 (N) 和上心室早发性心跳 (S) 类别以及不平衡的心电图数据,与患者间评估扎.
- 这些挑战导致分类结果不满意,需要改进诊断方法.
研究的目的:
- 提出一种新的多路径并行深卷积神经网络,用于增强心律不整的分类.
- 为了解决类似的N和S节拍类别和不平衡的ECG数据所带来的分类挑战.
- 提高自动心律失常检测系统的准确性和可靠性.
主要方法:
- 为了ECG信号分类,开发了一种多路径并行的深卷积神经网络架构.
- 整合了全球平均RR间隔功能,以区分相似的N和S节拍类别.
- 为了处理数据不平衡,实施了基于类比例动态调整的加权损失函数.
主要成果:
- 拟议的方法在患者内和患者间评估范式下,与现有方法相比,显示出更高的分类性能.
- 在患者内模式下,该模型实现了98.73%的准确度,94.89%的平均灵敏度,89.38%的平均精度和98.24%的平均特异性.
- 在患者间模式下,该模型实现了91.22%的准确度,89.91%的平均灵敏度,68.23%的平均精度和95.23%的平均特异性.
结论:
- 开发的多路径并行深卷积神经网络有效地将心律失常从心电图信号分类.
- 全球平均RR间隔和加权损失函数的整合成功地解决了节拍相似性和数据不平衡的挑战.
- 拟议的方法在自动心律失常检测方面取得了重大进展,改善了临床环境中的诊断准确性.
相关概念视频
01:28Disturbances 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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01:30Pulse 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...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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01:28Mechanism 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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