Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

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

Glucose Modulated-Frustrated Lewis Acid-Base Pairs and Oxygen Vacancy for Enhanced Photocatalytic CO<sub>2</sub> Reduction.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

2D Amorphous MoO<sub>3-x</sub>/Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> MXene Heterostructure: Interface Charge Transfer-Induced Carbon Defect-Driven Enhancement of Ferromagnetism.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Clinical phenotypes and genetic mutation analysis of 45 neonatal-onset methylmalonic acidemia.

Frontiers in pediatrics·2026

Same author

Myelin-driven structural network redundancy underlies cognition in cerebral small vessel disease.

Alzheimer's research & therapy·2026

Same author

Predicting PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin hyperthermic intraperitoneal chemotherapy: a multi-center study.

BMC surgery·2026

Same author

Perfect Carbon Balance in Electrooxidation of 5-Hydroxymethylfurfural to Formic Acid Over Fe-MoS<sub>2</sub>.

Small (Weinheim an der Bergstrasse, Germany)·2026

Search research articles

相关实验视频

Updated: Jul 11, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

MUNIX重复性评估方法基于FastICA脱混合的方法.

Suqi Xue¹, Farong Gao¹, Xudong Wu²

¹School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China.

Mathematical biosciences and engineering : MBE

|November 3, 2023

概括

这项研究引入了一种新的FastICA方法,使用负来提高动力单元数指数 (MUNIX) 评估的可重复性,通过有效地从高密度电极中分离混合电肌图 (EMG) 信号.

关键词:

变化系数 (CV) 是一个变化系数.高密度的表面电极高密度的表面电极发动机单位编号指数 (MUNIX)肌肉收缩的力量使肌肉收缩.可以重复的可重复性.

更多相关视频

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

Cryo-EM and Single-Particle Analysis with Scipion

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

相关实验视频

Last Updated: Jul 11, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

Cryo-EM and Single-Particle Analysis with Scipion

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

科学领域:

神经学神经学
生物医学工程生物医学工程
信号处理信号处理

背景情况:

评估神经疾病进展需要可复制的运动单元数指数 (MUNIX) 测量.
来自高密度电极的电动肌图 (EMG) 信号的通道间混合使 MUNIX 的可重现性复杂化.

研究的目的:

通过开发表面EMG (sEMG) 信号的脱方法来提高MUNIX的可复制性.
通过基于负的FastICA方法来解决信号混合问题.

主要方法:

使用高密度表面电极获取复合sEMG信号.
采用基于负的FastICA算法来分离混合sEMG信号.
通过量化信号独立性和测量 MUNIX 重复性 (CV) 来验证该方法.

主要成果:

增加的通道数量减少了CV1.5分钟0.1美元,并减少了相邻通道相关性0.12分钟0.05美元.
基于负的FastICA显著减少了sEMG信号之间的相互关系.
随着频道数量的增加,MUNIX的重复性得到了改善,优化了异常的重复性模式.

结论:

提出的基于负的FastICA方法提高了MUNIX的可复制性.
使用来自高密度EMG阵列的更多通道可以改善信号分离并减少波动.
这种方法为评估神经疾病进展提供了更可靠的工具.