搜索资源列表
EMG
- Reading, Filtering, Normalization, and Optimum Threshold Calculation of Electromyogram Signals
yuchuli
- 心电信号预处理,去除肌电信号,工频信号,肌电漂移的影响(ECG signal preprocessing,removal of EMG signals, frequency signals,and electromyographic drift.)
d_siemens_oscillarzet-05-t_sch1
- schematic of measure
基于视觉与肌电信号的手势识别研究
- 联合视觉与肌电信号进行手术识别研究, 中国科技大学的研究论文。很值得一看(Research on surgical identification combined with visual and EMG signals, a research paper from the University of Science and Technology of China. It's worth seeing.)
area
- 这个matlab程序主要可以用于计算采集到的信号的显著性面积,可以用于脑电数据处理、肌电数据处理(This matlab program can be used to calculate the significant area of the collected signals and can be used for EEG data processing and EMG data processing.)
程序
- 这个matlab程序主要可以用于脑电数据处理、肌电数据处理(This matlab program can be used to calculate the significant area of the collected signals and can be used for EEG data processing and EMG data processing.)
实时验证
- 肌电信号通过小波变换以及小波包来进行处理,特征提取(Wavelet transform processing of EMG signal)
EMG_EEG_@electricalmatlab
- EMG EEG electrical matlab
MATLAB_EMG_ACTIVATION_CACLU
- 实现肌电信号激活程度的计算、幅值计算以及包络线的生成(The calculation of EMG activation degree, amplitude calculation and envelope generation are realized.)
myo-sdk-win-0.9.0
- MYO肌电臂环的sdk开发环境及代码资料等(MYO EMG arm SDK development environment and code data, etc.)
a
- 对肌电信号计算积分肌电值+均方根值+中值频率+平均功率频率(Computation of Integral EMG+RMS+Median Frequency+Average Power Frequency for EMG Signals)
心电信号检测与分类算法的研究
- (1)心电信号预处理 心电信号是一种低频且含有众多噪声干扰的信号。针对心电信号存在的 噪声干扰问题,本文采用了平稳小波变换结合双变量阈值的方法对其进行去 噪处理。通过对心电信号进行八层平稳小波变换,得到不同的小波系数,采 用双变量阈值函数表达式对其进行处理得到新的小波系数,最后进行逆平稳 小波变换实现小波重构,完成心电信号去噪。Matlab 仿真结果显示,本文算 法的准确率较高,信噪比达到 84.5934dB。 (2)心电信号波形识别 反映心电信号的特征部分往往是信号的突变点,因此需
肌电数据库
- 肌电信号数据库,可用于肌电信号分析等相关实验的程序测试(EMG database can be used for program testing of EMG signal analysis and other related experiments)
LabView
- 使用delsys trigno实现肌电信号的在线采集/显示以及根据matlab的BP神经网络模型实现手势识别(Using Delsys trigno to realize the on-line acquisition / display of EMG signal and the BP neural network model of MATLAB to realize gesture recognition)