Application to SSVEP of chirp stimulus using non-harmonic analysis

Dongbao Jia; Yuta Takashima; Masaya Hasegawa; Shigeki Hirobayashi; Tadanobu Misawa

doi:10.1109/PIC.2017.8359576

Application to SSVEP of chirp stimulus using non-harmonic analysis

Dongbao Jia, Yuta Takashima, Masaya Hasegawa, Shigeki Hirobayashi, Tadanobu Misawa

Intellectual Information Engineering

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

2 Scopus citations

Abstract

Recently, brain-computer interface has been applied to many fields such as steady-state visual evoked potential (SSVEP). However, in the conventional method, the frequency resolution is low due to the dependence of the short-time Fourier transform on the analysis window length. Therefore, it is not possible to analyze a non-integer multiple signal, as a side-lobe will occur. We verified the precision of non-harmonics analysis, and proposed and attempted to analyze the change and stimulus of SSVEP. We found the frequency resolution to be improved exponentially.

Original language	English
Title of host publication	Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	379-383
Number of pages	5
ISBN (Electronic)	9781538619773
DOIs	https://doi.org/10.1109/PIC.2017.8359576
State	Published - 2017
Event	5th International Conference on Progress in Informatics and Computing, PIC 2017 - Nanjing, China Duration: 2017/12/15 → 2017/12/17

Publication series

Name	Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017

Conference

Conference	5th International Conference on Progress in Informatics and Computing, PIC 2017
Country/Territory	China
City	Nanjing
Period	2017/12/15 → 2017/12/17

Keywords

Brain-computer interface
Chirp stimulus
Non-harmonics analysis
Steady-state visual evoked potential

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Signal Processing

Access to Document

10.1109/PIC.2017.8359576

Cite this

Jia, D., Takashima, Y., Hasegawa, M., Hirobayashi, S., & Misawa, T. (2017). Application to SSVEP of chirp stimulus using non-harmonic analysis. In Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017 (pp. 379-383). (Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIC.2017.8359576

Jia, Dongbao ; Takashima, Yuta ; Hasegawa, Masaya et al. / Application to SSVEP of chirp stimulus using non-harmonic analysis. Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 379-383 (Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017).

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title = "Application to SSVEP of chirp stimulus using non-harmonic analysis",

abstract = "Recently, brain-computer interface has been applied to many fields such as steady-state visual evoked potential (SSVEP). However, in the conventional method, the frequency resolution is low due to the dependence of the short-time Fourier transform on the analysis window length. Therefore, it is not possible to analyze a non-integer multiple signal, as a side-lobe will occur. We verified the precision of non-harmonics analysis, and proposed and attempted to analyze the change and stimulus of SSVEP. We found the frequency resolution to be improved exponentially.",

keywords = "Brain-computer interface, Chirp stimulus, Non-harmonics analysis, Steady-state visual evoked potential",

author = "Dongbao Jia and Yuta Takashima and Masaya Hasegawa and Shigeki Hirobayashi and Tadanobu Misawa",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th International Conference on Progress in Informatics and Computing, PIC 2017 ; Conference date: 15-12-2017 Through 17-12-2017",

year = "2017",

doi = "10.1109/PIC.2017.8359576",

language = "英語",

series = "Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017",

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

pages = "379--383",

booktitle = "Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017",

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Jia, D, Takashima, Y, Hasegawa, M , Hirobayashi, S & Misawa, T 2017, Application to SSVEP of chirp stimulus using non-harmonic analysis. in Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017. Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 379-383, 5th International Conference on Progress in Informatics and Computing, PIC 2017, Nanjing, China, 2017/12/15. https://doi.org/10.1109/PIC.2017.8359576

Application to SSVEP of chirp stimulus using non-harmonic analysis. / Jia, Dongbao; Takashima, Yuta; Hasegawa, Masaya et al.
Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 379-383 (Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017).

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

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T1 - Application to SSVEP of chirp stimulus using non-harmonic analysis

AU - Jia, Dongbao

AU - Takashima, Yuta

AU - Hasegawa, Masaya

AU - Hirobayashi, Shigeki

AU - Misawa, Tadanobu

PY - 2017

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N2 - Recently, brain-computer interface has been applied to many fields such as steady-state visual evoked potential (SSVEP). However, in the conventional method, the frequency resolution is low due to the dependence of the short-time Fourier transform on the analysis window length. Therefore, it is not possible to analyze a non-integer multiple signal, as a side-lobe will occur. We verified the precision of non-harmonics analysis, and proposed and attempted to analyze the change and stimulus of SSVEP. We found the frequency resolution to be improved exponentially.

AB - Recently, brain-computer interface has been applied to many fields such as steady-state visual evoked potential (SSVEP). However, in the conventional method, the frequency resolution is low due to the dependence of the short-time Fourier transform on the analysis window length. Therefore, it is not possible to analyze a non-integer multiple signal, as a side-lobe will occur. We verified the precision of non-harmonics analysis, and proposed and attempted to analyze the change and stimulus of SSVEP. We found the frequency resolution to be improved exponentially.

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BT - Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017

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Jia D, Takashima Y, Hasegawa M , Hirobayashi S , Misawa T. Application to SSVEP of chirp stimulus using non-harmonic analysis. In Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 379-383. (Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017). doi: 10.1109/PIC.2017.8359576

Application to SSVEP of chirp stimulus using non-harmonic analysis

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Keywords

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