搜索资源列表
Emgu.CV.SourceAndExamples-1.4.0.0
- Opencv C# Library (wrapper) and example
an
- 表面肌电信号数字传感器的设计。表面肌电（suRFace electromyography, sEMG）信号是神经肌肉系统在进行随意性和非随意性活动时的生物电变化经表面电极引导、放大、显示和记录所获得的一维电压时间序列信号，其振幅约为0-5000μV，频率0-1000Hz，信号形态具有较强的随机性和不稳定性。与传统的针式肌电图相比，sEMG的空间分辨率相对较低，但是探测空间较大，重复性较好，对于体育科学研究、康复医学临床和基础研究等具有重要的学术价值和应用意义[1]。-Surface EMG di
ECGprocessing
- 在介绍非线性动力学现代理论中的混沌理论的基础上 综述了混沌理论及其方法在脑 电 心电及肌电等医学信号处理中的应用 并展望了它们的发展趋势 旨在推进非线性分析方法在生物医学中的研究和应用-In introducing the modern theory of nonlinear dynamics of chaos theory, based on an overview of chaos theory and its method in EEG and EMG and other ECG me
dd
- 基于模式识别的肌电信号动作分类性能研究》2010最新论文，从CNKI上买来的，现在共享给大家，希望对大家有用，-EMG pattern recognition based on the classification performance of action " 2010 latest paper, bought from the CNKI on, now for everyone to share, we hope to be useful,
RMS
- 原始肌肉电信号实现加噪声，频谱分析，积分肌电值求解-Muscle to achieve the original signal plus noise, spectral analysis, solving the integral EMG
SampleEn
- 可以用来计算脑电信号肌电信号的样本熵，很好用-EEG can be used to calculate the entropy of a sample of EMG signal, that is great
Theestimatedsoundsignallungfatigue
- 采集肱二头肌做屈伸运动过程中的肌电信号，对其进行处理，进行时域和频域分析，并且计算积分肌电值，中位频率等参数，估计其疲劳过程-Collection do biceps muscle during flexion and extension signals, processes, time domain and frequency domain analysis, and calculating the integral EMG values, the median frequency and o
Myoelectric_control-system
- 一篇很好的关于肌电信号的综述性文章，希望对大家有用-A good overview of the EMG signal on the article, I hope to be useful
icmi02
- The face can communicate varied personal information including subjective emotion, communicative intent, and cognitive appraisal. Accurate interpretation by observer or computer interface depends on attention to dynamic properties of the expr
simulator
- EMG simulator program to simulate emg signal using matlab and store it in to the computer memory to reuse that data as required.
hard1
- wavelet based removal of emg artifacts from ecg signal
sEMG-Based-on-permutation-entropy
- 针对表面肌电信号的混沌特征、噪声强等特点，该文提出了基于排列组合熵的表面肌电信号特征分析方法-The chaotic characteristics of the surface EMG signal and noise characteristics, this paper proposes a sEMG analysis method based on permutation entropy
energy2
- 对表面肌电信号进行小波包分解，提取特征向量-Wavelet packet decomposition of surface EMG Feature Extraction
xiaobo3cengfenjie
- 表面肌电信号的小波变换3层分解，提取特征向量-Surface EMG wavelet transform the three-layer decomposition, Feature Extraction
jubunengliang
- 表面肌电信号的小波包局部能量分解柱状图，提取特征能量-Local energy of the surface EMG wavelet packet decomposition histogram feature extraction energy
duanshifuliye
- 表面肌电信号的短时傅里叶变换，提取特征向量-Short time Fourier transform of the surface EMG signal, extract the feature vector
AR
- 表面肌电信号的AR参数模型分析法，提取特征向量-AR parameters of the model of the surface EMG signal analysis, feature extraction vector
ica2
- 肌电信号经过去均值化白化后运用fastica变换后实现盲信号分离-EMG after to the mean of albino using fastica transform blind signal separation
gaga
- 基于小波变换的ECG信号去噪系统设计,在信号采集时，身体的任一微小运动都会产生“基线漂移”，这是一种低频干扰，同时，由于肌电的存在又产生了高频的肌电噪声，由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除，就会影响下一步的信号处理。 综合运用数字信号处理的理论知识进行生物医学信号增强系统设计，实现ECG信号的去噪，从而加深对小波变换及其应用的理解，建立概念多分辨分析的概念，加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统，
w000
- 对表面肌电信号的分析处理的Matlab程序，包括：求频谱、倒谱、功率谱和中值频率等。-Surface EMG signal analysis and processing in Matlab, including: the demand spectrum, cepstrum, power spectrum and the median frequency.