Title
Reducing the noise level of EEG signal acquisition through reconfiguration of dry contact electrodes
Abstract
Dry EEG electrodes enhance the convenience and wearability of brain computer interface (BCI) systems, but the noise induced due to the skin electrode interface reduces the signal quality compared to that of wet electrodes. In this work, we analyzed a popular dry electrode design that incorporates several `finger' shaped contacts and show how the noise level can be reduced by estimating the contact quality of each finger and reconfiguring the electrode accordingly. We designed custom electrodes for this analysis and showed the differences in skin interface noise among fingers of the same electrode. Finally, we showed how eliminating the signals from one of more noisy fingers can lead to better correlation with an ideal wet electrode and reduce the amount of noise by 1.6μV on average, which constitutes 11% of the EEG signal.
Year
DOI
Venue
2014
10.1109/BioCAS.2014.6981790
BioCAS
Keywords
DocType
ISSN
biomechanics,biomedical electrodes,brain-computer interfaces,correlation methods,data acquisition,data analysis,electroencephalography,ergonomics,mechanical contact,medical signal processing,signal denoising,skin,bci system convenience,bci system wearability,eeg signal acquisition,brain computer interface system,custom electrode design,dry eeg electrode,dry contact electrode reconfiguration,dry electrode design,finger contact quality estimation,finger shaped contact,ideal wet electrode correlation,noise level reduction,noisy finger signal elimination,signal quality,skin electrode interface noise,skin interface noise,dry contact eeg,skin electrode noise
Conference
2163-4025
Citations 
PageRank 
References 
1
0.42
2
Authors
2
Name
Order
Citations
PageRank
Viswam Nathan15014.09
Roozbeh Jafari298793.51