TY - GEN
T1 - Application of the Hilbert_Huang transform and wavelet transform in the EEG processing
AU - Zhang, Gui Xin
AU - Wu, Ping Dong
AU - Huang, Jie
AU - Huang, Man Ling
PY - 2013
Y1 - 2013
N2 - Brain-Machine Interface (BMI) could make people control machine through EEG which is produced by the brain activity, and it provide a new communication method between human and machine. The research for BMI will extend the ability of communication and control the environment and machine. The key point of the BMI is how to abstract and distinguish different EEG characters. Therefore, EEG signal processing method is the emphasis of BMI. Wavelet Transform and Hilbert-Huang Transform are used to analyze the EEG signal in this paper. The results indicate that these two methods could abstract the main characters of the EEG, but the Hilbert-Huang Transform could express the distributing status in the time and frequency aspect of the EEG more accurately, because it produces the self-adaptive basis according the data, and obtain the local and instantaneous frequency of the EEG.
AB - Brain-Machine Interface (BMI) could make people control machine through EEG which is produced by the brain activity, and it provide a new communication method between human and machine. The research for BMI will extend the ability of communication and control the environment and machine. The key point of the BMI is how to abstract and distinguish different EEG characters. Therefore, EEG signal processing method is the emphasis of BMI. Wavelet Transform and Hilbert-Huang Transform are used to analyze the EEG signal in this paper. The results indicate that these two methods could abstract the main characters of the EEG, but the Hilbert-Huang Transform could express the distributing status in the time and frequency aspect of the EEG more accurately, because it produces the self-adaptive basis according the data, and obtain the local and instantaneous frequency of the EEG.
KW - Brain-machine interface
KW - EEG
KW - Hilbert-huang transform
KW - Wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=84886576612&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.756-759.1753
DO - 10.4028/www.scientific.net/AMR.756-759.1753
M3 - Conference contribution
AN - SCOPUS:84886576612
SN - 9783037857700
T3 - Advanced Materials Research
SP - 1753
EP - 1757
BT - Information Technology Applications in Industry, Computer Engineering and Materials Science
T2 - 3rd International Conference on Materials Science and Information Technology, MSIT 2013
Y2 - 14 September 2013 through 15 September 2013
ER -