相关实验视频

Updated: Jun 5, 2025

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

Published on: July 29, 2011

原始光聚发性心电图波形与高峰到高峰间隔用于机器学习检测心房动:波形是否重要?

Jonas L Isaksen¹, Bolette Arildsen¹, Cathrine Lind¹

¹Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Denmark.

Computer methods and programs in biomedicine

|December 7, 2024

概括

分析光电脉图 (PPG) 峰值间隔提供了使用机器学习检测心房动 (AF) 的计算效率高的方法. 这种方法的准确性与使用原始PPG波形相美,因此非常适合智能手机应用.

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:

机器学习可以通过光聚体图 (PPG) 准确检测心房动 (AF).
分析原始PPG波形对广泛部署提出了重大计算挑战.
由PPG衍生出的峰值到峰值间隔可能为AF检测提供一个计算上可行的替代方案.

研究的目的:

为了比较原始PPG波形与PPG衍生的峰值间隔的诊断实用性,用于基于机器学习的AF检测.
为了评估潜在的智能手机集成,两种信号类型的计算效率.

主要方法:

开发了专门的神经网络来分析原始PPG波形和PPG衍生的峰值-峰值间隔.
在来自TeleCheck-AF和VIRTUAL-SAFARI项目的广泛数据集上训练和评估模型.
评估每个模型的计算要求,灵敏度,正预测值 (PPV) 和F1得分.

主要成果:

间隔模型 (15,513个参数) 的复杂性比波形模型 (160万个参数) 低100倍以上.
与波形模型相比,间隔模型所需的计算功率是波形模型的19倍.
外部验证显示了可比的诊断指标:间隔模型 (灵敏度:91.7%,PPV: 80.5%,F1: 85.6%) 与波形模型 (灵敏度:81.9%,PPV: 84.5%,F1: 81.3%).

结论:

由PPG衍生的峰值间隔和原始PPG波形显示了通过神经网络进行AF检测的同等准确性.
基于间隔的方法显著降低了计算需求,提高了移动健康应用的适用性.
这一发现支持在智能手机等资源有限的设备上部署AF检测算法.

关键词:

心房动是一种心房动.机器学习,深度学习.摄影电解质量学摄影电解质量学

更多相关视频

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

相关概念视频

Pulse rhythm

Pulse rhythm

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...

Electrocardiogram

Electrocardiogram

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...

ECG Interpretation of Rhythms

ECG Interpretation of Rhythms

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....

Electrocardiogram Fundamentals

Electrocardiogram Fundamentals

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...