TY - GEN
T1 - Motor imagination EEG recognition algorithm based on DWT, CSP and extreme learning machine
AU - Wang, Kang
AU - Zhai, Di Hua
AU - Xia, Yuanqing
N1 - Publisher Copyright:
© 2019 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2019/7
Y1 - 2019/7
N2 - Establishing an accurate and rapid electroencephalography (EEG) recognition algorithm is an important research direction in the field of Brain-Computer Interface (BCI). In this paper, EEG recognition algorithm is constructed based on discrete wavelet transform (DWT), common spatial patterns (CSP) and extreme learning machine (ELM). DWT and CSP are used for joint feature extraction, which solves the problem that traditional CSP is sensitive to noise. ELM is used for classification, which improves the real-time performance of the BCI system. Our findings show a classification accuracy of 90% and a classification time of 0.012s for the Data Set III in BCI Competition 2003, which proves the effectiveness of the algorithm.
AB - Establishing an accurate and rapid electroencephalography (EEG) recognition algorithm is an important research direction in the field of Brain-Computer Interface (BCI). In this paper, EEG recognition algorithm is constructed based on discrete wavelet transform (DWT), common spatial patterns (CSP) and extreme learning machine (ELM). DWT and CSP are used for joint feature extraction, which solves the problem that traditional CSP is sensitive to noise. ELM is used for classification, which improves the real-time performance of the BCI system. Our findings show a classification accuracy of 90% and a classification time of 0.012s for the Data Set III in BCI Competition 2003, which proves the effectiveness of the algorithm.
KW - Common spatial patterns
KW - Discrete wavelet transform
KW - Electroencephalography
KW - Extreme learning machine
UR - http://www.scopus.com/inward/record.url?scp=85074440564&partnerID=8YFLogxK
U2 - 10.23919/ChiCC.2019.8866574
DO - 10.23919/ChiCC.2019.8866574
M3 - Conference contribution
AN - SCOPUS:85074440564
T3 - Chinese Control Conference, CCC
SP - 4590
EP - 4595
BT - Proceedings of the 38th Chinese Control Conference, CCC 2019
A2 - Fu, Minyue
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 38th Chinese Control Conference, CCC 2019
Y2 - 27 July 2019 through 30 July 2019
ER -