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CCA_fMRI_2_01
- The CCA-fMRI Toolbox implements the use of canonical correlation analysis (CCA) for detecting brain activity patterns recorded by functional magnetic resonance imaging (fMRI).
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
brainactivity
- biomedical engineering brain activity.
EEGprocessing
- 脑电信号是脑神经细胞电生理活动在大脑皮层或头皮表面的总体反映 ,脑电信号的研究 一直是生物医学领域难度很大且倍受人们关注的课题。在简要回顾了脑电研究的历史和现状的基础上 ,重点论述了混沌分析法、人工神经网络(ANN)分析法、小波变换法、Wigner 分布等在脑电信号分析和处理中的应用情况。最后展望了脑电信号研究的发展应用前景。-EEG is a brain cell electrophysiological activity in the cerebral cortex or the sca
FCM
- 采用FCM方法进行脑活动区域检测，该代码具有较好的效果-FCM method using regional brain activity detection, the code has a good effect
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
chronux_2_10
- 一款适用于分析脑电数据，画脑电地形图的工具箱-A toolbox applicable to the analysis of EEG data, draw the brain electrical activity mapping
img
- image fusion describes about brain activity of a ct scan
Fftfile-of-EEG
- 可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。-FFT spectrum can be ext
最新大脑信号研究资料
- The included are some recent research papers for the brain activity studies.
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.
EEG-for-biometrics
- Biometric recognition is the science of establishing the identity of a person using his/her physical or biological characteristics. Biometric systems can employ different kinds of features, e.g., features of fingerprint, face, iris or posture. EEG si
BRAIN_CUDA
- 这是在cuda平台上的一段模拟脑细胞活动的代码，使用了并行计算来实现神经网络。-This is the code section on cuda platform simulated brain cell activity, the use of parallel computing to realize the neural network.
Teplan(3)
- Electroencephalography is a medical imaging technique that reads scalp electrical activity generated by brain structures. The electroencephalogram (EEG) is defined as electrical activity of an alternating type recorded the scalp surface after being p
TGAM
- 脑电波技术原理简介TGAM芯片原理,神经产生脑电波 人的大脑是由数以万计的针尖大小的神经交错构成的。神经相互作用时，脑电波模式就表现为思维状态，像是计算数学时的专注等情绪状态。人的大脑平均每天产生7万个想法。而且，每次神经活动时都会产生轻微的放电，放出的电通过脑电波技术（医学上称为脑电图）就可以测量得到。单个神经产生的放电是很难从头皮外测量到的。但是许多神经共同放电产生的集体电波是可以测量得到的。因此，我们测量到的大脑状态是由许多神经共同放电产生的集体神经活动决定的。(The pri