搜索资源列表
Test
- SSVEP脑电分析评价系统，用Matlab的GUI完成，完成判断和评分-SSVEP EEG analysis and evaluation system, complete with Matlab' s GUI to complete the judging and scoring
MD18
- 基于视觉诱发电位的脑电信号的频率和相位的检测，用于得到受试者的看到的数字。-SSVEP brain signal anlaysis codes.
MD5
- SSVEP脑电分析算法，计算脑电的频率和相位信息，并做出判断-SSVEP EEG analysis algorithm to calculate EEG frequency and phase information, and make judgments
SSVEP_demo.tar
- SSVEP demo Steady State Visually Evoked Potential-labview demo
SSVEP
- 基于C8051F120的双调幅程序。信号波与载波为SIN波。输出是两路DA输出。-AM realise by c8051
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
ssvep
- 分析ssvep脑电信号的程序，有整体框架(SSVEP EEG signal analysis procedures, there is an overall framework)
ssvep
- 亲测可用，完整版cca分析ssvep信号，可能没有数据，但是程序是好的(Pro test can be used, the full version of CCA analysis of SSVEP signals, there may be no data, but the program is good)
10.11648.j.bio.s.2015030301.15
- A SSVEP Based EEG Signal Analysis to Discriminate the effects of music levels on Executional Attention
TEST_5(FFT)
- 用于离线分析SSVEP脑电数据，采用传统的快速傅里叶变换的方法(For offline analysis of SSVEP EEG)
cca
- 典型相关分析，分析两段数据之间的相似性，用于脑电ssvep信号分析(Canonical correlation analysis is used to analyze the similarity between two segments of data.)
FBCCA
- FBCCA是处理SSVEP信号重要分类识别算法(Fbcca is an important classification and recognition algorithm for processing SSVEP signals)
SST-CCA
- 对SSVEP信号进行SST，之后再利用CCA进行频率特征分类(SSVEP signal ---- SST, and then frequency feature classification is carried out by CCA)