搜索资源列表
ECGdenoising
- 去除在心电信号采集过程中混入的肌电干扰 、工频干扰、基线漂移等噪声信号,避免噪声对心电信号特征点的识别和提取造成误判漏判。
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
ica-matlab
- 脑电信号 分析 fast ica去噪,去除心电,眼电,肌电,效果不错-fast ica for eeg
RECGGdenoisiie
- 去除在心电信号采集过程中混入的肌电干扰、工频干扰、基线漂移等噪声信信号,避免噪声对心电信号特征点的识别与提取造成误判漏判 已通过测试。 -Remove the EMG interference mixed with the signal acquisition process in mind, frequency interference, baseline drift and noise channel signal to avoid noise caused by the misjudg
EEG
- 用于观察脑电信号全通道数据和多个单通道数据,并且输出相对颅内压参数。函数通过读取nt后缀脑电图文件,并生成GUI界面,可选择全通道观察所选文件脑电信号,也可以选择包含原始EEG脑电信号,40hzEEG,80hz肌电干扰和提取出的40hzEEG信号的多个单通道观察,并且生成颅内压参数。-Used to observe all channels of EEG data and multiple-channel data, and output parameters relative intracra
fast_ApEn
- 近似熵,可用于生物电信号分析,包括脑电、心电、肌电等。-Approximate entropy, can be used for bio-electrical signal analysis, including EEG, ECG, EMG and so on.
xiaoboquzao
- 小波分析在心电信号去噪中的应,主要针对心电信号中的肌电干扰/基线漂移/工频干扰进行的算法研究-Wavelet analysis in the ECG signal denoising should be mainly for the ECG signal in the EMG/baseline drift/frequency interference algorithm for the study
DATA_EMG_test_170310
- 肌电信号数据,手掌做不同动作时的肌电信号,分别为伸手握拳等信号的肌电信号-EMG DATA
6.16
- EMG时域特征,针对肌电信号的时域特征值(EMG time-domain characteristics)
preprocess
- 对脑电信号进行预处理,伪迹移除,去除眼电,肌电,眼动等伪迹(The EEG is pretreated and artifacts removed)
MPF
- 关于肌电信号,计算平均功率频率(MPF)的功能(about EMG, calculate the mean power frequency (MPF))
ECG_Filter
- MIT_ECG 肌电信号滤波(MIT_ECG electromotor filtering)
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.)
#-nina-semimyo-master
- 基于肌电信号的手势识别,数据来自开源数据集ninapro(Hand gesture recognition based on electromyography)
手势识别技术数据
- 基于表面肌电信号的手势识别数据,欢迎各位下载使用,欢迎交流。