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

相关概念视频

Fetal Circulation01:14

Fetal Circulation

2.4K
Fetal circulation is a unique system that facilitates the exchange of gases, nutrients, and waste products between the developing fetus and the mother. This intricate process takes place through a special organ called the placenta.
Two umbilical arteries transport blood from the fetus to the placenta. At the placenta, the blood absorbs oxygen and nutrients while simultaneously eliminating waste products. This oxygen-enriched and nutrient-rich blood then returns to the fetus through one...
2.4K
Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K

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

A naturalistic, non-invasive method for capturing biometric data during autism evaluations.

Frontiers in psychiatry·2026
Same author

Analysis of differential photoplethysmography signal patterns in apnea and hypopnea.

Physiological measurement·2026
Same author

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers.

Physiological measurement·2025
Same author

Enhancing human spatial awareness through augmented reality technologies.

Biomedical engineering letters·2025
Same author

Decoding right ventricular geometry: novel 3D echocardiography-derived global shape analysis across health and disease states.

European heart journal. Cardiovascular Imaging·2025
Same author

First Steps of Creating a Simulation Environment in OpenSim to Design a Control Method for a Novel Soft Robotic Exoskeleton.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Fetal Mouse Cardiovascular Imaging Using a High-frequency Ultrasound 30/45MHZ System
07:34

Fetal Mouse Cardiovascular Imaging Using a High-frequency Ultrasound 30/45MHZ System

Published on: May 5, 2018

12.1K

使用卷积神经网络进行胎儿心脏声音细分.

Kristof Muller, Janka Hatvani, Marton Aron Goda

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    人工神经网络提高了胎儿心声细分的准确性,特别是在第二次心声. 这一进步有助于开发更精确的心脏病诊断工具,使用心声学.

    更多相关视频

    Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
    06:56

    Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

    Published on: January 7, 2021

    2.8K
    Whole Neonatal Cochlear Explants as an In vitro Model
    07:12

    Whole Neonatal Cochlear Explants as an In vitro Model

    Published on: July 28, 2023

    3.0K

    相关实验视频

    Last Updated: Jan 9, 2026

    Fetal Mouse Cardiovascular Imaging Using a High-frequency Ultrasound 30/45MHZ System
    07:34

    Fetal Mouse Cardiovascular Imaging Using a High-frequency Ultrasound 30/45MHZ System

    Published on: May 5, 2018

    12.1K
    Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
    06:56

    Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

    Published on: January 7, 2021

    2.8K
    Whole Neonatal Cochlear Explants as an In vitro Model
    07:12

    Whole Neonatal Cochlear Explants as an In vitro Model

    Published on: July 28, 2023

    3.0K

    科学领域:

    • 生物医学工程 生物医学工程
    • 信号处理 信号处理
    • 人工智能在医学中的应用

    背景情况:

    • 声心录像 (心脏声音记录) 处理对于诊断心脏疾病至关重要.
    • 对大多数诊断方法来说,精确的心电图 (PCG) 信号细分是必不可少的.
    • 传统的方法,如隐藏的半马尔科夫模型 (HSMM) 与后勤回归是常见的,但可以改进.

    研究的目的:

    • 开发和评估基于U-net的卷积神经网络 (CNN),用于从腹部记录中对胎儿心脏声音进行细分.
    • 为了比较CNN模型的性能与已建立的基于HSMM的心声细分的方法.
    • 评估深度学习在改善胎儿心电图分析方面的潜力.

    主要方法:

    • 一个U-netCNN架构被用于心声细分.
    • 该模型最初在一个开放的儿科数据集上进行了训练,随后使用胎儿数据进行了微调.
    • 通过将CNN与两个HSMM方法 (先前开发的方法和具有后勤回归的HSMM) 进行比较来评估性能.

    主要成果:

    • 最好的U-net模型实现了第一个心声检测的92.2%PPV和84.9%F1,平均绝对误差为17.2±26.0ms.
    • 对于第二次心声检测,U-net模型实现了88.1%的PPV和88.1%的F1,平均绝对误差为17.9±12.7 ms.
    • 虽然第一个心声检测并没有始终超过HSMM方法,但第二个心声检测的准确性显著改善.

    结论:

    • 深度学习,特别是U-net CNNs,显示了从腹部记录中增强胎儿心脏声音细分的希望.
    • 第二次心声检测的提高准确性表明,潜在的更精细的诊断能力.
    • 未来的研究可以将专门训练的神经网络与HSMM时间建模相结合,从而在声心图分析中获得更高的准确性.