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Time delay estimation of event related potential (ERP) signals

Title
Time delay estimation of event related potential (ERP) signals
Authors
Kim, KyungsooChoi, Ji-WoongKang, Won-Seok
DGIST Authors
Kim, Kyungsoo; Choi, Ji-WoongKang, Won-Seok
Issue Date
2014
Citation
18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
Electroencephalogram (EEG) is a brain signal that has much information of human thought and health. For this reason, the current study on clinical brain research and brain machine interface (BMI) uses EEG signal in many applications. Due to the significant noise in EEG, signal processing to enhance signal to noise power ratio (SNR) is necessary for EEG research. The typical method is averaging many trials of ERP (event related potential) signal that represents a brain response of a particular stimulus or a task. The averaging, however, is very sensitive to timing error. In this study, we propose a time delay estimation based on simplified maximum likelihood (ML) criterion. The simulation result shows the performance of proposed scheme provides better performance than conventional schemes employing averaged signal as a reference. © 2014 IEEE.
URI
http://hdl.handle.net/20.500.11750/3762
DOI
10.1109/ISCE.2014.6884455
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
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Collection:
Information and Communication EngineeringETC2. Conference Papers
Convergence Research Center for Wellness2. Conference Papers
Information and Communication EngineeringETC2. Conference Papers


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