基于现实世界可穿戴式心电图数据的自主多标签心律失常检测和分类的层次深度学习
Guangyao Zheng1, Sunghan Lee2, Jeonghwan Koh2,3
1Department of Computer Science, Rice University, Houston, TX, USA.
Digital health
|October 17, 2024
概括
使用CNN+BiLSTM与Attention的新层次模型有效地从噪音较大的可穿戴式心电图数据中检测和分类心律不整. 这种先进的系统实现了高精度,有望改善实时心律失常诊断和患者护理.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗保健中的人工智能
背景情况:
- 由于数据不平衡和复杂的心律失常组合,心律失常检测和分类变得复杂.
- 穿戴式心电图 (ECG) 监测由于环境噪音而存在独特的挑战,与受控的临床环境不同.
- 准确的心律失常分类对于及时诊断和干预至关重要.
研究的目的:
- 开发和评估一种新的层次模型,以使用可穿戴式心电图数据进行稳健的心律失常检测和分类.
- 解决数据不平衡和环境噪声在现实世界心律失常监测中的挑战.
- 提高自动心律失常诊断的准确性和可靠性.
主要方法:
- 提出了一个层次模型,将卷积神经网络 (CNN) 与双向长短期记忆 (BiLSTM) 网络以及注意力机制结合起来.
- 该模型具有对正常节律失常节拍和多标签模块的二进制分类模块,以及对复杂节律失常组合的多标签模块.
- 用专有数据集对几种基线模型进行性能评估,包括 CNN+BiGRU with Attention,ConViT,EfficientNet和ResNet.
主要成果:
- 拟议的CNN+BiLSTM with Attention模型在专有数据集上的现有基线上表现出优越的性能.
- 实现了95%的平均准确性,F1得分为0.838,二进制分类的AUC为0.906.
- 在多标签分类中获得了88%的平均准确性,F1得分为0.736,AUC为0.875.
结论:
- 开发的模型有效地检测和分类现实世界的心律失常,即使在杂的环境中.
- 这个框架有可能彻底改变心律失常的诊断,减少心脏病学家的工作量,并使个性化紧急干预成为可能.
- 通过这项技术实时监测心律失常的发生,可以导致更快的患者护理和更好的结果.
相关概念视频
01:30Dysrhythmias V: Evaluating Dysrhythmias
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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...
4
01:30Pulse rhythm
769
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...
769
01:28Electrocardiogram Fundamentals
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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...
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...
540
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...
913
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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01:16ECG 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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