DocumentCode :
1789832
Title :
A motion-artifact tracking and compensation technique for dry-contact EEG monitoring system
Author :
Jingyi Song ; Tuo Shan ; Shuang Zhu ; Yun Chiu
Author_Institution :
Texas Analog Center of Excellence, Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2014
fDate :
13-13 Dec. 2014
Firstpage :
1
Lastpage :
4
Abstract :
A digital online technique for motion artifact (MA) tracking and compensation is reported for electroencephalogram (EEG) monitoring using dry-contact electrodes. A safe, low-level pseudorandom noise (PN) signal is driven to the body through a reference electrode as a test signal to measure the bio-potential acquisition-path gain (APG) of the electrode-tissue interface (ETI). The measurement result is then utilized by a digital-domain gain compensator to act in the opposite way to the MA-induced APG variation, thereby compensating the multiplicative motion artifact (MMA) in real time. The remaining baseline wander or additive motion artifact (AMA) is treated by a digital high-pass filter (HPF). The interference of the test signal to the EEG signal acquisition is negligible in this technique due to the nearly white spectrum of the PN signal.
Keywords :
biological tissues; biomedical electrodes; digital filters; electroencephalography; high-pass filters; medical signal processing; motion compensation; patient monitoring; signal denoising; EEG signal acquisition; MA-induced APG variation; PN signal; additive motion artifact; baseline wander; biopotential acquisition-path gain; compensation technique; digital high-pass filter; digital online technique; digital-domain gain compensator; dry-contact EEG monitoring system; dry-contact electrodes; electrode-tissue interface; electroencephalogram monitoring; low-level pseudorandom noise signal; motion-artifact tracking; multiplicative motion artifact; white spectrum; Brain modeling; Electric potential; Electrodes; Electroencephalography; Filtering; Monitoring; Time measurement; AMA; BCI; EEG; ETI; MMA; motion artifact;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing in Medicine and Biology Symposium (SPMB), 2014 IEEE
Conference_Location :
Philadelphia, PA
Type :
conf
DOI :
10.1109/SPMB.2014.7002951
Filename :
7002951
Link To Document :
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