Similarity Feature Extraction of EEG
Available Online June 2015.
- https://doi.org/10.2991/meici-15.2015.221How to use a DOI?
- Feature extraction; Similarity; Electroencephalograph (EEG) signal
- With the development of information technology nowadays, the analysis of mass data with time features has become possible. EEG feature extraction method is a key element of EEG research, this paper defines a method similarity of feature extraction. Five subjects are used to verify identification studies, which shows that the similarity method can extract to EEG features the subject. The analysis result of 400 collected EEG signals of the same mode shows that the similarity among features of the 400 samples is up to 80%.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhendong Mu PY - 2015/06 DA - 2015/06 TI - Similarity Feature Extraction of EEG BT - 2015 International Conference on Management, Education, Information and Control PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/meici-15.2015.221 DO - https://doi.org/10.2991/meici-15.2015.221 ID - Mu2015/06 ER -