搜索资源列表
gesture.rar
- 关于手势识别的一些英文文章，利用表面肌电信号,Gesture recognition on a number of English articles, the use of surface EMG
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
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- ELman人工神经网络建模里例子，用于利用表面肌电信号识别自行车蹬踏阶段的识别研究-Elman modelling code which is used for sEMG cycling phase identification. It is of great help for researchers in surface myoelectric signal research.
Noise-canceling-of-SEMG
- 利用小波变换实现表面肌电信号消噪的程序，还包括一些对比分析。-Wavelet transform SEMG denoising procedures, including some comparative analysis.
emg
- 人体下肢表面肌电信号的检测与分析的详细介绍-Detection and analysis of the human lower limb surface electromyography
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
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.
w111
- 基于Matlab对表面肌电信号时频域分析处理的GUI界面程序-Surface EMG frequency domain analysis of the GUI interface program based on Matlab
EEG-SEMG
- 表面肌电信号与肢体运动直接相关，肢体的不同动作具有不同的肌肉收缩模式，这些模式的差别反映在表面肌电信号特征的差异上-Surface EMG and limb movements directly related to the different movements of the limbs have different muscle contraction mode, the difference between these patterns reflect differences in sEM
jiance
- 四通道表面肌电信号活动段检测方法（通过能量值）-action detection ways of four-channel sEMG(by energy value)
hpfilter
- 计算人体表面肌电信号的功率谱，均方值等等 -just a code for calculate EMG
sEMG-signal-pattern-recognize
- 是一篇关于表面肌电信号处理的文章，主要是模式识别方面的。-Is an article about the surface EMG signal processing, pattern recognition is the main area.
表面肌电信号时域频域分析
- 表面肌电信号常见时域频域MATLAB程序(Surface realm signal common time domain frequency domain MATLAB program)
code545423
- 动作的表面肌电信号进行频谱分析和功率谱估计，计算 肌电信号的时域和频域参数，根据结果分析讨论肌肉工作状态程序源码，在matlab软件测试成功(The spectrum analysis and power spectrum estimation of the surface electromyogram signal of the action are carried out, and the time domain and frequency domain parameters of the
肌电信号处理
- 表面肌电信号处理的matlab程序，包括带通滤波、50Hz陷波滤波程序，以及计算时域、频域的指标iMEG、RMS ， MF、MPF(The matlab program of sEMG signal processing includes band-pass filter, 50 Hz notch filter program, and calculation of time and frequency domain index IMEG, RMS, MF, MPF)