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

Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

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

Paeoniflorin inhibits colorectal cancer stem cell properties via regulating LINC01711/KMT2D/KLF7 axis.

Journal of gastrointestinal oncology·2026
Same author

Targeting BRD4 in gastric cancer: promoting apoptosis and suppressing tumor progression.

Frontiers in pharmacology·2026
Same author

RPS20 phosphorylation acts as a molecular switch to integrate inflammatory and oxidative stress signals in sepsis.

Life sciences·2026
Same author

Stage-adaptive integration of polydopamine promotes human pluripotent stem cell-derived alveolar organoids differentiation and maturation.

Materials today. Bio·2026
Same author

Genomic structural equation modelling of 12 cancers identifies a latent pan-cancer susceptibility factor and shared determinants of carcinogenesis.

EBioMedicine·2026
Same author

Image segmentation of track bolts based on improved YOLO model.

Scientific reports·2026

相关实验视频

Updated: May 10, 2026

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA
13:00

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

Published on: December 2, 2009

11.7K

麦肯-混合器:基于通道相互作用的Mamba方法用于rPPG提取.

Hengrui Zhang, Feiyang Liao, Gang Yuan

    IEEE journal of biomedical and health informatics
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    使用先进的AI,MaKAN-Mixer增强了远程心率监测. 这种新型网络在具有挑战性的条件下提高了准确性和稳定性,提供了更好的非接触式健康洞察力.

    更多相关视频

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
    00:07

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

    Published on: August 21, 2019

    8.3K
    Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions
    08:18

    Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions

    Published on: October 4, 2024

    992

    相关实验视频

    Last Updated: May 10, 2026

    A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA
    13:00

    A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

    Published on: December 2, 2009

    11.7K
    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
    00:07

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

    Published on: August 21, 2019

    8.3K
    Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions
    08:18

    Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions

    Published on: October 4, 2024

    992

    科学领域:

    • 生物医学工程 生物医学工程
    • 计算机视觉 计算机视觉
    • 信号处理 信号处理

    背景情况:

    • 远程光电脉扫描 (rPPG) 可通过面部视频分析进行非接触式心率监测.
    • 在rPPG的挑战包括可变的照明,运动工件,并捕捉时空动态.
    • 现有的方法在长期依赖和复杂的生理信号提取方面扎.

    研究的目的:

    • 推出MaKAN-Mixer,这是一个端到端的网络,用于强大而准确的rPPG信号提取.
    • 在复杂的环境和具有挑战性的条件下提高rPPG性能.
    • 通过有效地建模时空特征和长期依赖关系来增强心率估计.

    主要方法:

    • 整合了Eulerian视频放大和时间转移模块放大 (HETA) 的混合用于信号放大.
    • 开发了Mamba-KAN融合模块 (MKFM),用于高效的长期依赖模型和道融合.
    • 使用KAN传送神经网络 (KFN) 来捕获复杂的生理模式.

    主要成果:

    • 在数据集内部和跨数据集测试中,MaKAN-Mixer在四个基准数据集上表现出卓越的性能.
    • 与最先进的技术相比,实现了根平均平方误差 (RMSE) 的显著降低.
    • 在具有挑战性的场景,包括压缩视频和复杂环境中表现出异常的稳定性.

    结论:

    • 在非接触式心率监测技术方面,MaKAN-Mixer提供了显著的进步.
    • 拟议的网络架构有效地解决了当前rPPG方法的局限性.
    • 结果强调了准确,现实世界的rPPG监控应用程序的潜力.