多类心律失常的分类使用多式智能手表摄像力学信号在现实环境中收集的多式智能手表摄像力学信号
Dong Han1, Jihye Moon1, Luís Roberto Mercado Díaz1
1University of Connecticut.
Research square
|December 23, 2024
概括
可穿戴的光聚血学 (PPG) 传感器可以监测心房动 (pAF). 一个新的深度学习模型使用多式数据准确地检测AF和早/心室收缩 (PAC/PVC),性能优于现有方法.
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:
- 阴性心房动 (pAF) 需要持续监测,理想情况下是通过像带有光囊 (PPG) 传感器的智能手表等可穿戴设备进行持续监测.
- 现有的AF检测深度学习模型往往缺乏普遍性,因为缺乏多样化的数据和独立测试.
- 检测过早的心房和心室收缩 (PAC/PVC) 对于准确的AF诊断具有挑战性和关键性,但之前的研究数据集和性能有限.
研究的目的:
- 开发和评估一种新的深度学习模型,以使用多式智能手表数据准确检测正常鼻节律,心房动 (AF) 和PAC/PVC.
- 解决先前研究中关于数据多样性,独立验证和PAC/PVC检测敏感性的局限性.
- 评估拟议模型在不同数据集和设备上的计算效率和通用性.
主要方法:
- 使用1D双向门式复杂单元 (1D-Bi-GRU) 深度学习模型,在Pulsewatch临床试验 (1D PPG,加速度计,心率) 的多式数据 (1D PPG,加速度计,心率) 上训练 (106名受试者,2周监测).
- 使用独立的培训/测试数据分割和来自不同设备 (智能手表,指尖传感器) 的两个外部PPG数据集进行严格的验证.
- 将1D-Bi-GRU模型的性能与两种领先的深度学习模型进行了比较,用于三种心律失常的分类 (正常,AF,PAC/PVC).
主要成果:
- 1D-Bi-GRU模型在AF检测方面获得了97.31%的准确性,在PAC/PVC检测方面获得了前所未有的83%的灵敏度.
- 该模型表现出卓越的性能,在PAC/PVC灵敏度上表现出20.81%,在AF精度上表现出2.55%.
- 在独立数据集上获得了高的宏观平均AUC值 (96.22%和94.17%),证实了出色的概括性.
- 拟议的模型在计算上比比较模型高14倍,速度快2.7倍.
结论:
- 开发的1D-Bi-GRU深度学习模型为使用可穿戴PPG数据检测正常鼻节律,AF和PAC/PVC提供了计算效率高和高度准确的解决方案.
- 这种多模式的方法显著提高了PAC/PVC检测灵敏度,这是以前的AF监测研究中经常被忽视的关键因素.
- 该模型在各种数据集和设备中被证明是可通用的,这突显了其在持续心律监测中实际临床应用的潜力.
相关概念视频
Pulse rhythm
759
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...
759
Disturbances in Heart Rhythm
898
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...
898
Mechanism of Cardiac Arrhythmias
886
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.
886
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias
189
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,...
189
Electrocardiogram
2.2K
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...
2.2K
Holter Monitor: 24-Hour Monitoring
2
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...
2


