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相关概念视频

Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

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Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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使用卷积神经网络 (CNN) 高效地提取深度图像特征,用于检测心室动和心跳动.

Azeddine Mjahad1, Mohamed Saban1, Hossein Azarmdel1

  • 1GDDP, Department Electronic Engineering, School of Engineering, University of Valencia, 46100 Burjassot, Valencia, Spain.

Journal of imaging
|September 27, 2023
PubMed
概括

这项研究引入了一种新的CNN方法,使用时间频率图像来准确检测心律失常,如心室动 (VF) 和心室低心率 (VT). 该方法显著提高了关键心律分析的分类性能.

关键词:
生物医学系统 生物医学系统在美国,CNN是CNN.电心图信号 电心图信号图像分析图像分析非静止信号是指非静止的信号.时间频率表示.腹腔动是一种心房动.腹腔动脉短心症是什么意思

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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:

  • 准确检测心律不整,特别是心室动 (VF) 和心室低心率 (VT),对于安全有效的除治疗至关重要.
  • 对心律的错误分类可能导致不适当的治疗,可能会对患者造成伤害或加剧现有的情况.

研究的目的:

  • 开发和验证一种使用卷积神经网络 (CNN) 和电心电图 (ECG) 信号的时间频率 (tf) 表示来分类心律失常的新方法.
  • 为了提高检测危及生命的节律失常的精度和可靠性,如VF和VT用于改进的自动外部除器 (AED) 和植入式心脏转换器-除器 (ICD) 疗法.

主要方法:

  • 利用了来自MIT-BIH和AHA数据库的心电图信号.
  • 生成时间频率 (tf) 表示,特别是伪维格纳-维尔 (PWV) 图像,在预处理步骤后,包括无声化,对齐和细分.
  • 采用四种不同的CNN架构 (InceptionV3,MobilNet,VGGNet,AlexNet) 来分类TF图像并评估该方法的有效性.

主要成果:

  • 在各种节奏中实现了高分类性能:VF (98.91%准确率),VT (99.09%准确率),正常鼻节奏 (98.89%准确率) 和其他节奏 (99.11%准确率).
  • 在区分可震动 (VF/VT) 和非可震动节奏方面表现出卓越的性能,准确率为99.61%.
  • 与CNN相结合的tf表示优于以前的分类方法,即使没有预先选择ECG情节.

结论:

  • 拟议的方法,利用图像和CNN分类器的tf表示,显著提高心律不整检测的准确性.
  • 这种方法显示了集成到AED和ICD设备的巨大潜力,提高了患者的安全性和治疗效率.
  • 这些发现为将该技术应用于更广泛的ECG节律检测应用打开了道路.