Time delay estimation of event related potential (ERP) signals

Kyungsoo Kim; Ji Woong Choi; Won Seok Kang

doi:10.1109/ISCE.2014.6884455

Time delay estimation of event related potential (ERP) signals

Kyungsoo Kim
, Ji Woong Choi
, Won Seok Kang

Daegu Gyeongbuk Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479945924
DOIs	https://doi.org/10.1109/ISCE.2014.6884455
State	Published - 2014
Event	18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of Duration: 22 Jun 2014 → 25 Jun 2014

Publication series

Name	Proceedings of the International Symposium on Consumer Electronics, ISCE

Conference

Conference	18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Country/Territory	Korea, Republic of
City	Jeju
Period	22/06/14 → 25/06/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

EEG
ERP
synchronization
time delay

Access to Document

10.1109/ISCE.2014.6884455

Cite this

Kim, K., Choi, J. W., & Kang, W. S. (2014). Time delay estimation of event related potential (ERP) signals. In ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics Article 6884455 (Proceedings of the International Symposium on Consumer Electronics, ISCE). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCE.2014.6884455

@inproceedings{e69f680e2e72405594194095de6d0884,

title = "Time delay estimation of event related potential (ERP) signals",

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.",

keywords = "EEG, ERP, synchronization, time delay",

author = "Kyungsoo Kim and Choi, \{Ji Woong\} and Kang, \{Won Seok\}",

year = "2014",

doi = "10.1109/ISCE.2014.6884455",

language = "English",

isbn = "9781479945924",

series = "Proceedings of the International Symposium on Consumer Electronics, ISCE",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics",

note = "18th IEEE International Symposium on Consumer Electronics, ISCE 2014 ; Conference date: 22-06-2014 Through 25-06-2014",

}

Kim, K, Choi, JW & Kang, WS 2014, Time delay estimation of event related potential (ERP) signals. in ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics., 6884455, Proceedings of the International Symposium on Consumer Electronics, ISCE, Institute of Electrical and Electronics Engineers Inc., 18th IEEE International Symposium on Consumer Electronics, ISCE 2014, Jeju, Korea, Republic of, 22/06/14. https://doi.org/10.1109/ISCE.2014.6884455

Time delay estimation of event related potential (ERP) signals. / Kim, Kyungsoo; Choi, Ji Woong ; Kang, Won Seok.
ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc., 2014. 6884455 (Proceedings of the International Symposium on Consumer Electronics, ISCE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Time delay estimation of event related potential (ERP) signals

AU - Kim, Kyungsoo

AU - Choi, Ji Woong

AU - Kang, Won Seok

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - EEG

KW - ERP

KW - synchronization

KW - time delay

UR - https://www.scopus.com/pages/publications/84907395834

U2 - 10.1109/ISCE.2014.6884455

DO - 10.1109/ISCE.2014.6884455

M3 - Conference contribution

AN - SCOPUS:84907395834

SN - 9781479945924

T3 - Proceedings of the International Symposium on Consumer Electronics, ISCE

BT - ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE International Symposium on Consumer Electronics, ISCE 2014

Y2 - 22 June 2014 through 25 June 2014

ER -

Time delay estimation of event related potential (ERP) signals

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this