基于马尔科夫过渡场和ResNet的ECG信号的智能诊断方法
Lipeng Ji1, Zhonghao Wei1, Jian Hao1
1School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Computer methods and programs in biomedicine
|September 3, 2023
概括
这项研究引入了使用深度学习和ResNet的马尔科夫过渡场来诊断心脏病的智能诊断方法,在识别心电图 (ECG) 异常方面实现了高精度.
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:
- 心脏病对人类健康构成重大威胁.
- 对心电图 (ECG) 信号的实时监测和智能诊断对于及时干预至关重要.
- 深度学习为自动ECG分析提供了一个有前途的方法,可能使高级诊断能够让普通人接触到.
研究的目的:
- 开发和评估使用深度学习的智能心电图诊断方法.
- 准确地识别五种类型的心跳,并评估模型的泛化能力,以检测心房动.
主要方法:
- 电心电图 (ECG) 信号通过马尔科夫过渡场被转化为二维矩阵.
- 这些矩阵被用作ResNet模型的输入,用于特征提取和分类.
- 该模型在MIT-BIH和PAF预测挑战 (PAFPC) 数据库上进行了训练和验证.
主要成果:
- 提出的方法在MIT-BIH数据库中获得了97.7%的高F1得分和99.2%的准确性.
- 平均灵敏度和特异性分别为97.42%和99.54%.
- 该模型表现出强大的概括能力,在PAFPC心脏动检测数据库上准确率为94.57%.
结论:
- 与传统和其他深度学习方法相比,基于马尔科夫过渡场和ResNet的方法显示出更高的分类性能.
- 该模型实现了高精度和F1得分,而不需要数据预处理.
- 该研究证实了拟议的智能心电图诊断系统的优秀的概括能力和实际应用前景.
相关概念视频
01:25Correlation between ECG and Cardiac Cycle
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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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01:29Electrocardiogram
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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...
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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01:24ECG Interpretation of Rhythms
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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
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....
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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01:23Holter Monitor: 24-Hour Monitoring
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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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