Detection of event related optical signal (EROS) in episodic memory retrieval task using ICA-based Kalman filter

Sunghee Dong, Jaeyoung Shin, Jichai Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate the noise reduction performance for event related optical signal (EROS) measured from 5-channel near-infrared spectroscopy to reduce noise by using grand average and independent component analysis (ICA)-based Kalman filter. Episodic memory retrieval task was performed and expected to show brain activity around 500 ms from right prefrontal cortex. We verified that positive deviation in response to old word occurred around 500 ms using grand average for three subjects. After applying ICA-based Kalman filter on data from each subject, the clear positive deviation was shown graphically. Also, the ratio of positively deviated epoch in response to old word increased by 14 % after ICA-based Kalman filtering.

Original languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages380-382
Number of pages3
ISBN (Electronic)9788993215090
DOIs
Publication statusPublished - 2015 Dec 23
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 2015 Oct 132015 Oct 16

Other

Other15th International Conference on Control, Automation and Systems, ICCAS 2015
CountryKorea, Republic of
CityBusan
Period15/10/1315/10/16

Keywords

  • Episodic memory
  • Event related optical signal
  • Independent component analysis
  • Kalman filter
  • Memory retrieval task
  • Near-infrared spectroscopy

ASJC Scopus subject areas

  • Control and Systems Engineering

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    Dong, S., Shin, J., & Jeong, J. (2015). Detection of event related optical signal (EROS) in episodic memory retrieval task using ICA-based Kalman filter. In ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings (pp. 380-382). [7364943] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAS.2015.7364943