1) equisignal surface
等信号表面
2) SEMG
表面肌电信号
1.
A Method of Decreasing the Power Frequency Noise from SEMG;
一种消除表面肌电信号中工频干扰的方法
2.
Identification of Model Parameters Basing on Matched Processing between Simulated and Recorded sEMG Signals;
基于匹配实测表面肌电信号的模型参数辨识(英文)
3.
Studies on the Non-fatigue Specificity of the Fatigue-related sEMG Signal Parameters;
疲劳相关表面肌电信号特征的非疲劳特异性研究
3) surface EMG
表面肌电信号
1.
Classification research on surface EMG signal based on fuzzy wavelet packet and decision tree;
基于模糊小波包和决策树的表面肌电信号分类研究
2.
The Application of Independent Component Analysis for Decomposition Surface EMG;
独立分量分析在表面肌电信号分解中的应用
3.
Design of Wireless multi-channel surface EMG acquisition system
无线多通道表面肌电信号采集系统设计
4) surface electromyography(SEMG)
表面肌电信号
1.
According to the physiological characteristics of the generation process of surface electromyography(SEMG),a method of decomposition of SEMG signals based on the technique of convolutive mixing blind source separation was proposed to detect the information about motor unit action potentials.
根据表面肌电信号(SEMG)形成的生理学特性,采用一种基于卷积混合过程的盲源分离技术来分析隐含在SEMG信号中的运动单位动作电位信息,利用仿真的SEMG信号对这种算法的分解性能进行实验研究,并与采用瞬时混合过程的独立分量分析(ICA)算法的分解性能进行比较,同时将该算法应用于真实SEMG信号的分解实验。
2.
A new pattern recognition method of surface electromyography(sEMG) is proposed, based on wavelet transform and support vector machine(SVM).
采用小波变换的方法对实验采集的原始四通道表面肌电信号(sEMG)进行了分析,并提取小波分解系数的奇异值构建特征矢量,利用“一对一”分类策略和二叉树设计的多类支持向量机(SVM)分类器,很好地实现了对前臂8种运动表面肌电信号的模式分类,8种运动模式的平均识别率为98。
3.
To identify the neuromuscular function state,a new surface electromyography(SEMG) signal identification method based on wavelet packet transformation and support vector machine(SVM) is proposed for the signal non-smooth characteristics.
为很好地识别神经和肌肉的功能状态,针对表面肌电信号的非平稳特性,提出了采用小波包变换的方法对原始肌电信号进行分解,并提取其频段系数的最大奇异值构建特征矢量。
5) surface electromyography signal
表面肌电信号
1.
In this paper, a method to process surface electromyography signal was presented.
提出了一种以AR模型和BP网络相结合的表面肌电信号处理方法 。
2.
According to the chaotic characteristic of surface electromyography signal,a novel method that uses basic-scale entropy to extract feature from surface electromyography signal(SEMG) was proposed.
提出了一种基于基本尺度熵的表面肌电信号特征的提取方法。
6) surface vibration signals
表面振动信号
1.
The characteristics of the surface vibration signals of the internal combustion engine are studied in this paper.
研究内燃机表面振动信号,阐明内燃机振动信号是十分复杂的非平稳随机信号;揭示了内燃机振动信号中分形及多重分形行为;提出通过奇怪吸引子的嵌入维估计能完整描述振动信号特征的最少独立变量数目,并指出内燃机振动是一个高维非线性动力学问题。
补充资料：等信号强度
等信号强度
磁共振成像术语。磁共振成像中，与参照结构信号强度值相当的结构的信号强度，即与参照结构信号亮度近似的信号。MRI中的信号强度值为一无量纲值，在不同设备、不同场强、不同次扫描中的信号强度值是随机的。因此，通常只作信号强度的定性判断，不作定量比较。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条