Investigation of pre-processing method to detect selective attention to auditory oddball sequences

Daisuke Mizutani; Shin'Ichiro Kanoh

doi:10.1109/BMEiCON.2017.8229142

Investigation of pre-processing method to detect selective attention to auditory oddball sequences

Daisuke Mizutani, Shin'Ichiro Kanoh

Department of Electronic Engineering

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

Abstract

Event-related potentials elicited by two individual oddball tone sequences presented to both right and left ears can be used to realize auditory BCI to detect selected attention. In this study, event-related potentials elicited by oddball tone sequences were examined and the methods to pre-process the data (spatial filter, frequency filter and down sampling) were investigated to improve pattern classification accuracies. As a result, it was shown that the down sampling (100 Hz) of the measured data was prominent for improving the classification accuracies (over 85%) in all of six subjects.

Original language	English
Title of host publication	BMEiCON 2017 - 10th Biomedical Engineering International Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538608821
DOIs	https://doi.org/10.1109/BMEiCON.2017.8229142
Publication status	Published - 2017 Dec 19
Event	10th Biomedical Engineering International Conference, BMEiCON 2017 - Hokkaido, Japan Duration: 2017 Aug 31 → 2017 Sep 2

Publication series

Name	BMEiCON 2017 - 10th Biomedical Engineering International Conference
Volume	2017-January

Other

Other	10th Biomedical Engineering International Conference, BMEiCON 2017
Country	Japan
City	Hokkaido
Period	17/8/31 → 17/9/2

Keywords

auditory oddball paradigm
brain-computer interface (BCI)
event-related potential (ERP)
linear discriminant analysis (LDA)
pattern classification
selective attention

ASJC Scopus subject areas

Health Informatics
Instrumentation
Biomedical Engineering
Medicine (miscellaneous)
Health(social science)

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Mizutani, D., & Kanoh, SI. (2017). Investigation of pre-processing method to detect selective attention to auditory oddball sequences. In BMEiCON 2017 - 10th Biomedical Engineering International Conference (pp. 1-5). (BMEiCON 2017 - 10th Biomedical Engineering International Conference; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BMEiCON.2017.8229142

Investigation of pre-processing method to detect selective attention to auditory oddball sequences. / Mizutani, Daisuke; Kanoh, Shin'Ichiro.

BMEiCON 2017 - 10th Biomedical Engineering International Conference. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (BMEiCON 2017 - 10th Biomedical Engineering International Conference; Vol. 2017-January).

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

Mizutani, D & Kanoh, SI 2017, Investigation of pre-processing method to detect selective attention to auditory oddball sequences. in BMEiCON 2017 - 10th Biomedical Engineering International Conference. BMEiCON 2017 - 10th Biomedical Engineering International Conference, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 10th Biomedical Engineering International Conference, BMEiCON 2017, Hokkaido, Japan, 17/8/31. https://doi.org/10.1109/BMEiCON.2017.8229142

Mizutani D, Kanoh SI. Investigation of pre-processing method to detect selective attention to auditory oddball sequences. In BMEiCON 2017 - 10th Biomedical Engineering International Conference. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-5. (BMEiCON 2017 - 10th Biomedical Engineering International Conference). https://doi.org/10.1109/BMEiCON.2017.8229142

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abstract = "Event-related potentials elicited by two individual oddball tone sequences presented to both right and left ears can be used to realize auditory BCI to detect selected attention. In this study, event-related potentials elicited by oddball tone sequences were examined and the methods to pre-process the data (spatial filter, frequency filter and down sampling) were investigated to improve pattern classification accuracies. As a result, it was shown that the down sampling (100 Hz) of the measured data was prominent for improving the classification accuracies (over 85%) in all of six subjects.",

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Investigation of pre-processing method to detect selective attention to auditory oddball sequences

Abstract

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Keywords

ASJC Scopus subject areas

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