通过深度学习通过使用单导电心电图而没有QRS波检测来进行心律失常分类方法
Liong-Rung Liu1,2,3, Ming-Yuan Huang2,3, Shu-Tien Huang1,2,3
1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Heliyon
|March 15, 2024
概括
这项研究开发了一个卷积神经网络 (CNN),使用心电图 (ECG) 数据检测心律不整,而无需QRS波检测. CNN的准确度达到97.31%,证明了使用短心电图段用于心律失常的分类的可行性.
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:
- 心律失常是一种常见的,危及生命的心脏疾病.
- 传统的心律失常检测依赖于QRS波检测.
- 可穿戴设备提供持续的心电图监测,可及时检测心律失常.
研究的目的:
- 使用卷积神经网络 (CNN) 来分类不同的心律失常,而不依赖QRS波探测.
- 评估心电图信号持续时间 (5秒相比10秒段) 对心律失常分类准确性的影响.
- 评估使用可穿戴设备检测心律失常的短心电图记录的可行性.
主要方法:
- 利用一维CNN模型进行心律失常的分类.
- 训练并比较CNN模型使用来自PhysioNet数据库的5秒和10秒心电图段.
- 分类正常的鼻腔节律 (NSR) 和各种节律失常,包括心房动 (AFIB),心房动 (AFL),沃尔夫-帕金森-怀特综合征 (WPW),心室动 (VF),心室高心率 (VT),心室动 (VFL),Mobitz II AV阻塞 (MII) 和鼻腔勃心脏 (SB).
主要成果:
- CNN模型成功地区分了NSR和多种类型的心律失常.
- 五秒和十秒的心电图分段都产生了可比的分类准确性.
- 在心律失常检测方面获得了97.31%的平均分类准确率.
结论:
- 在没有QRS波检测的情况下,CNN可以有效地对心律失常进行分类.
- 短的心电图段 (5-s) 是可行的心律失常检测,与可穿戴设备的实用性保持一致.
- 该方法支持快速检测心律失常,在紧急情况下具有临床实用性.
相关概念视频
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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
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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.
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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...
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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
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ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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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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