Description: BIOSIG is an open source software library for biomedical signal processing. Library works well with Octave and Matlab. Special emphasis is put on EEG/MEG/ECoG, but also other types of biosignals like ECG, EMG, etc. are supported. -BIOSIG is an open source software library f or biomedical signal processing. Library work s well with Octave and Matlab. Special emphasis is put on EEG / MEG / ECoG. but also other types of biosignals like ECG, EMG, etc.. are supported. Platform: |
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Author:陆游 |
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Description: BIOSIG is an open source software library for biomedical signal processing. Library works well with Octave and Matlab. Special emphasis is put on EEG/MEG/ECoG, but also other types of biosignals like ECG, EMG, etc. are supported. -BIOSIG is an open source software library f or biomedical signal processing. Library work s well with Octave and Matlab. Special emphasis is put on EEG/MEG/ECoG. but also other types of biosignals like ECG, EMG, etc.. are supported. Platform: |
Size: 244736 |
Author:陆游 |
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Description: 用于提取EMG/MMG/ECG信号的频谱分析的特征量MATLAB代码，采用的算法是非负分解（NNMF）。-This program is designed to extract the feature of EMG/MMG/ECG signal in hand motions via the non-negative matrix factorization algorithm. Platform: |
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Author:zy |
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Description: REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
-REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
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Author:azharuddin |
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Description: 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 Platform: |
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Author: |
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Description: EMG simulator program to simulate emg signal using matlab and store it in to the computer memory to reuse that data as required. Platform: |
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Author:Bipin |
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Description: 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. Platform: |
Size: 1024 |
Author:钟维 |
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Description: 利用Matlab计算肌电信号的积分值和平均功率-Using Matlab to calculate the integral value of the EMG signal and the average power Platform: |
Size: 1024 |
Author:Kissy Smile |
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Description: -1.伪迹减法的matlab实现
¨要求用仿真数据（随机信号＋EOG仿真）检验
¨EOG仿真信号根据眼电特性设定
2-2.肌电伪迹的去除仿真实验
¨要求用真实信号+仿真伪迹
¨仿真伪迹：通过查阅资料确认伪迹频率范围或特性，并用公式仿真。
2-3.请简述眼电是如何产生的？--1 Artifact subtraction matlab implementation requires simulation data (random signal+ EOG simulation) tests under simulated signal EOG EOG characteristics set 2-2. EMG artifact removal simulation experiment with real-world signals+ simulation Simulation artifact artifact: artifact through access to information confirmed or characteristic frequency range, and use the formula emulation. 2-3 Please describe the EOG is how to produce? Platform: |
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Author:陈少 |
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Description: 该matlab程序主要进行肌电信号的预处理以及获取时域特征-The matlab program mainly for EMG signal preprocessing and access to time-domain characteristics Platform: |
Size: 1024 |
Author:廖琼 |
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Description: MATLAB心电图自动诊断程序。围绕心电信号预处理、心电波形检侧与定位、心电特征提取与分析三个方面。研究MIT数据库中的心电信号，针对心电信号中存在的工频干扰、基线漂移、肌电干扰等各种噪声,设计出了高通、低通、带阻、平滑效果滤波器来对心电信号进行预处理，对处理后的信号采用连续小波变化进行特征点的定位及瞬时心率的计算，最后通过分析给出诊断结果。-MATLAB ECG automatic diagnosis program. Around the ECG signal preprocessing, ECG waveform detection and location, ECG feature extraction and analysis of three aspects, the study of MIT in the ECG signal. According to the frequency interference, baseline drift in the presence of ECG, EMG interference and other noise, design a high pass, low pass, band stop filter, smoothing effect of pretreatment of the ECG signal, the calculation of the processed signal using continuous wavelet transform to locate feature points and instantaneous heart rate, finally the diagnosis results. Platform: |
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Author:四叶草 |
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Description: 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) Platform: |
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Author:lyxian
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Description: （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，因此需要对心电信号的
突变点进行识别检测。本文通过采用二次 B 样条小波对去噪后的心电信号
进行四层平稳小波变换，在第四尺度上对心电信号的 R 波进行波形检测。 在第二尺度上以正确检测 R 波为基础，实现 Q 波和 S 波的波峰、起始点及
终止点检测。为了保证检测精度，本文设置了误检漏检机制。最后在第五尺 度实现了 P 波和 T 波波峰、起始点及终止点检测。仿真结果表明本文的算
法检测精度较高，准确率达到 99.81%。(This paper proposes an efficient method of ECG signal denoising using the adaptive dualthreshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method isto bring together the advantages ofthese methods in order to improve the filtering ofthe ECGsignal. The aim of the proposed method is to deal with the EMG noises, the power lineinterferences and the high frequency noises that could perturb the ECG signal. This algorithm is based on three steps of denoising,) Platform: |
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Author:雨季96 |
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Description: 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) Platform: |
Size: 97280 |
Author:mo_levin |
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