Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jul 11, 2025

Noninvasive Electrocardiography in the Perinatal Mouse
04:36

Noninvasive Electrocardiography in the Perinatal Mouse

Published on: June 12, 2020

6.1K

深度学习与胎儿心电图识别

Wei Zhong1, Jiahui Luo1, Wei Du1

  • 1Guangdong Police College, Guangzhou, 510000, People's Republic of China.

Physiological measurement
|November 8, 2023
PubMed
概括
此摘要是机器生成的。

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation Study.

JMIR formative research·2026
Same author

Corrigendum to "Hyperoside ameliorates the progression of osteoarthritis: An in vitro and in vivo study" [Phytomedicine/volume80 (2021)/153387].

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

An efficient hybrid spectral-compact difference scheme for rod-coil diblock copolymers in slit confinement.

The Journal of chemical physics·2026
Same author

Molten-salt flash synthesis of P-doped iron oxide with engineered oxygen vacancies for lattice-oxygen water oxidation.

Chemical science·2026
Same author

A Phosphoproteomic Platform Identifies Erythrocyte Membrane Protein Band 4.1-Like 3-Mediated Lipid Droplet Remodeling Linked to Liver Cancer Invasion and Migration.

ACS applied materials & interfaces·2026
Same author

An advanced TMR sensor-based magnetrode for in vivo LFP magnetic field recording.

Microsystems & nanoengineering·2026
Same journal

Continuous tracking of aortic aneurysm diameter with peripheral pulse waves: a computational framework combining sequential Markov chain Monte Carlo with Kalman filtering.

Physiological measurement·2026
Same journal

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same journal

Augmenting single-lead ECG interpretation through QRS waveform decomposition and rotation.

Physiological measurement·2026
Same journal

Dynamic Beat-to-Beat Blood Pressure Estimation using a Multi-modal Wearable Deep Learning Approach.

Physiological measurement·2026
Same journal

Dual warm-start fusion versus attention-based fusion in low-label ECG-PCG classification: a controlled ablation study.

Physiological measurement·2026
Same journal

Inter-patient multi-label ECG classification via low-rank adaptation fine-tuned large language models with dynamic graph convolutional network.

Physiological measurement·2026
查看所有相关文章

这项研究引入了一种新的深度学习方法,用于胎儿心电图 (FECG) 识别,克服了独立组件分析 (ICA) 的局限性. 该方法在多通道数据中准确识别FECG信号,推进自动化的FECG监控.

科学领域:

  • 生物医学工程 生物医学工程
  • 信号处理 信号处理
  • 机器学习 机器学习

背景情况:

  • 独立成分分析 (ICA) 是提取胎儿心电图 (FECG) 的常用方法.
  • 对于FECG的ICA结果通常在幅度,顺序和极性方面不确定.
  • 准确的FECG识别对于非侵入性产前监测至关重要.

研究的目的:

  • 开发一种新的深度学习策略,以实现强大的FECG识别.
  • 为了解决与FECG提取中ICA相关的不确定性.
  • 提高FECG信号识别的准确性和自动化.

主要方法:

  • 开发了一个跨域一致的卷积神经网络 (CDC-Net).
  • ICA的输出被用作CDC-Net的输入.
  • 经过训练,CDC-Net从多通道心电图数据中识别了目标FECG通道.

主要成果:

  • 拟议的深度学习方法在FECG识别方面表现强.
  • 在ADFECGDB数据库中,精度,回忆和F1分数分别为91.69%,91.37%和91.52%.
  • 在Daisy数据库中,精度,回忆和F1分数分别达到97.85%,97.42%和97.63%.
关键词:
在FECG的认可中.深度学习是一种深度学习.非侵入性的胎儿心电图.

更多相关视频

Preterm EEG: A Multimodal Neurophysiological Protocol
19:32

Preterm EEG: A Multimodal Neurophysiological Protocol

Published on: February 18, 2012

28.5K
Author Spotlight: Assessing the Feasibility of Using Amplitude-Integrated EEG During Neonatal Transport
05:15

Author Spotlight: Assessing the Feasibility of Using Amplitude-Integrated EEG During Neonatal Transport

Published on: June 21, 2024

736

相关实验视频

Last Updated: Jul 11, 2025

Noninvasive Electrocardiography in the Perinatal Mouse
04:36

Noninvasive Electrocardiography in the Perinatal Mouse

Published on: June 12, 2020

6.1K
Preterm EEG: A Multimodal Neurophysiological Protocol
19:32

Preterm EEG: A Multimodal Neurophysiological Protocol

Published on: February 18, 2012

28.5K
Author Spotlight: Assessing the Feasibility of Using Amplitude-Integrated EEG During Neonatal Transport
05:15

Author Spotlight: Assessing the Feasibility of Using Amplitude-Integrated EEG During Neonatal Transport

Published on: June 21, 2024

736

结论:

  • 本研究提供了使用深度学习进行自动化FECG识别的概念证明.
  • 疾病预防控制中心网络有效地在多通道心电图数据中识别FECG信号.
  • 这一进步有助于开发自动化的FECG监测技术.