搜索资源列表
av_sub
- 脑电（EEG）是一种反映大脑活动的生物电信号，由于它具有很高的时变敏感性，在采集时极易受到外界的干扰。如眼球运动、眨眼、心电、肌电等都会给真实的脑电信号加入噪声（伪迹）。这些噪声给脑电信号的分析处理带来了很大的困难。从剔除EEG中的各种伪迹到去除噪声的效果评估研究者们都提出了很多方法。本文提出matlab除各种脑电信号伪伪迹减法- As a kind of physiological signals, the Electroencephalogram（EEG）represents the ele
posterior
- 关于脑电信号中机械噪声，工频噪声，以及基线漂移的处理，以及提取脑电信号中的特质点，应用matlab中的小波变换来进行消噪找特征点-On the EEG machine noise, frequency noise, and baseline drift of the processing, as well as the characteristics of EEG in point, application of wavelet transform in matlab to find featu
Wavelet_Denoise
- 小波去噪的几篇论文 Automatic identification and Removal of ocular artifacts from EEG using Wavelet transform 小波去噪理论及MATLAB实现研究 小波分析在信号降噪处理中的应用 小波软阈值滤波在信号去噪中的有效性研究-Wavelet denoising of several papers Automatic identification and Removal of ocular artif
05572430
- 提出了一种改进的独立分量分析方法对脑电信号进行去伪迹消噪，取得了相当不错的效果-An improved method of independent component analysis to EEG artifact noise cancellation, very good results achieved
ss
- 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) sign
Lab0505-FIRLMS
- 用dsp实现自适应滤波器算法，自适应滤波是仅需对当前观察的数据作处理的滤波算法。它能自动调节本身冲激响应的特性，或者说自动调节数字滤波器的系数，以适应信号变化的特性，从而达到最佳滤波。由于自适应滤波不需要关于输入信号的先验知识，计算量小，特别适用于实时处理，近年来得到广泛应用，如用于脑电图和心电图测量、噪声抵消、扩频通信及数字电话等。-Dsp to achieve the adaptive filter algorithm, the adaptive filter is a filter tha
EEG_fMRI_recording
- eeg和fmri联合采集时去除干扰噪声的工具包-Kit eeg and fmri joint acquisition, removal of interfering noise
noiseCancel
- In numerous application areas, including biomedical engineering, radar, sonar and digital communi- cations, the goal is to extract a useful signal corrupted by interferences and noises. Noise/interference removal is facilitated when multiple sens
cancelling-noise
- 利用自适应滤波来滤除脑电信号采集过程中的50Hz工频干扰-Filter the power line interference based on adaptive filter for EEG
EEG-hard-threshold--soft-threshold
- 脑电信号的硬阈值和软阈值去噪算法，是对脑电信号消噪的基本消噪能够成功取得脑电消噪的目的，为脑电信号的特征提取做好充分准备-EEG hard threshold and soft thresholding algorithm is the basic noise cancellation EEG de-noising can successfully achieve the purpose of de-noising EEG, EEG feature extraction is fully pre
Garrote-thresholding
- Garrote阈值对脑电信号去噪,能有效消除白噪声干扰,提取有用的脑电信号-Garrote threshold for EEG de-noising, can effectively eliminate white noise, extract useful EEG
csp
- CSP, Common Spatial Pattern, 共同空间模式方法用于脑电信号EEG的一种较为全面的方法。-Common Spatial Pattern(CSP) method is a way to pre-processing the brain signal (EEG) in order to decrease the influnce of noise signal.
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.
xiaobofenxinaodian
- 利用小波变换将带有机械噪声等噪声的脑电信号进行小波处理，先分解信号，然后根据分解后的信号进行去噪处理，然后重构脑电信号-Using wavelet transform with EEG machinery noise noise wavelet processing to decompose signals and then de-noising based on signal decomposition, and then reconstructed EEG
ok_noise_eeg
- remove noise eeg signal with wavelet adaptive-remove noise eeg signal with wavelet adaptive
CCA
- 一些关于脑电信号中噪声的去除ICA算法的实现，所用脑电信号为SSVEP试验。只是一些小程序，还有很多不足，望补充-Some implementations on removing ICA algorithm of noise in EEG, EEG is used SSVEP test. Just some small programs, there are many shortcomings, hope others added this
ADS1299
- TI公司的ADS1299是8路低噪音同时取样的24位delta-sigma ADC,并内置了可编程增益放大器(PGA),基准电压和振荡器,集成了脑电图(EEG)所需的通用特性.器件具有非常低的输入参考噪音:1.0 μVPP (70-Hz BW),没路的功耗5mW,输入偏置电流300pA,数据速率250SPS到16kSPS,C1.0 μVPP (70-Hz BW),CMMR为-110dB,可编程增益为1, 2, 4, 6, 8, 12或24,单极或双极电源工作,主要用在医疗仪器如EEG和ECG,听
HHT小波变换
- 用于脑电信号的小波分解与重构算法，另外还有一个基于信噪比的空域滤波算法和HHT分解算法，都是几个常用的脑电信号分解算法(Wavelet decomposition and reconstruction algorithm for EEG signals, in addition, a spatial filtering algorithm based on signal to noise ratio (SNR) and HHT decomposition algorithm, are sever