Coherence analyses of event-related potentials using Fourier and wavelet transforms

Hsiao Lung Chan; Ling Fu Meng; Pei Kuang Chao; Ming An Lin

doi:10.1109/CNE.2007.369750

Coherence analyses of event-related potentials using Fourier and wavelet transforms

Hsiao Lung Chan^*, Ling Fu Meng, Pei Kuang Chao, Ming An Lin

^*Corresponding author for this work

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

Abstract

The EEG coherence is beneficial to investigate cortical connectivity of different brain regions in response to specific events. Recently, the wavelet-based coherence is suggested for this purpose due to that it can capture the time-varying characteristics of signals from which the Fourier transform would suffer. However, the quantitative comparison between Fourier- and wavelet-based coherence is less addressed. In this paper we used simulated signals under various signal-to-noise ratios and real evoked electrophysiological signals to assess the coherence estimation of these two methods. Our results showed that Fourier-based coherence is more affected by the Guassian noise than wavelet-based coherence, in particular at the frequency band of 18-50 Hz.

Original language	English
Title of host publication	Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages	627-629
Number of pages	3
DOIs	https://doi.org/10.1109/CNE.2007.369750
State	Published - 2007
Event	3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States Duration: 02 05 2007 → 05 05 2007

Publication series

Name	Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

Conference

Conference	3rd International IEEE EMBS Conference on Neural Engineering
Country/Territory	United States
City	Kohala Coast, HI
Period	02/05/07 → 05/05/07

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10.1109/CNE.2007.369750

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Chan, H. L., Meng, L. F., Chao, P. K., & Lin, M. A. (2007). Coherence analyses of event-related potentials using Fourier and wavelet transforms. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering (pp. 627-629). Article 4227355 (Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering). https://doi.org/10.1109/CNE.2007.369750

@inproceedings{4b590c55e75c47c981521cb9bfe08e01,

title = "Coherence analyses of event-related potentials using Fourier and wavelet transforms",

abstract = "The EEG coherence is beneficial to investigate cortical connectivity of different brain regions in response to specific events. Recently, the wavelet-based coherence is suggested for this purpose due to that it can capture the time-varying characteristics of signals from which the Fourier transform would suffer. However, the quantitative comparison between Fourier- and wavelet-based coherence is less addressed. In this paper we used simulated signals under various signal-to-noise ratios and real evoked electrophysiological signals to assess the coherence estimation of these two methods. Our results showed that Fourier-based coherence is more affected by the Guassian noise than wavelet-based coherence, in particular at the frequency band of 18-50 Hz.",

author = "Chan, {Hsiao Lung} and Meng, {Ling Fu} and Chao, {Pei Kuang} and Lin, {Ming An}",

year = "2007",

doi = "10.1109/CNE.2007.369750",

language = "英语",

isbn = "1424407923",

series = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering",

pages = "627--629",

booktitle = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering",

note = "3rd International IEEE EMBS Conference on Neural Engineering ; Conference date: 02-05-2007 Through 05-05-2007",

}

Chan, HL , Meng, LF, Chao, PK & Lin, MA 2007, Coherence analyses of event-related potentials using Fourier and wavelet transforms. in Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering., 4227355, Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, pp. 627-629, 3rd International IEEE EMBS Conference on Neural Engineering, Kohala Coast, HI, United States, 02/05/07. https://doi.org/10.1109/CNE.2007.369750

Coherence analyses of event-related potentials using Fourier and wavelet transforms. / Chan, Hsiao Lung ; Meng, Ling Fu; Chao, Pei Kuang et al.
Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. p. 627-629 4227355 (Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering).

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

TY - GEN

T1 - Coherence analyses of event-related potentials using Fourier and wavelet transforms

AU - Chan, Hsiao Lung

AU - Meng, Ling Fu

AU - Chao, Pei Kuang

AU - Lin, Ming An

PY - 2007

Y1 - 2007

N2 - The EEG coherence is beneficial to investigate cortical connectivity of different brain regions in response to specific events. Recently, the wavelet-based coherence is suggested for this purpose due to that it can capture the time-varying characteristics of signals from which the Fourier transform would suffer. However, the quantitative comparison between Fourier- and wavelet-based coherence is less addressed. In this paper we used simulated signals under various signal-to-noise ratios and real evoked electrophysiological signals to assess the coherence estimation of these two methods. Our results showed that Fourier-based coherence is more affected by the Guassian noise than wavelet-based coherence, in particular at the frequency band of 18-50 Hz.

AB - The EEG coherence is beneficial to investigate cortical connectivity of different brain regions in response to specific events. Recently, the wavelet-based coherence is suggested for this purpose due to that it can capture the time-varying characteristics of signals from which the Fourier transform would suffer. However, the quantitative comparison between Fourier- and wavelet-based coherence is less addressed. In this paper we used simulated signals under various signal-to-noise ratios and real evoked electrophysiological signals to assess the coherence estimation of these two methods. Our results showed that Fourier-based coherence is more affected by the Guassian noise than wavelet-based coherence, in particular at the frequency band of 18-50 Hz.

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U2 - 10.1109/CNE.2007.369750

DO - 10.1109/CNE.2007.369750

M3 - 会议稿件

AN - SCOPUS:34548785537

SN - 1424407923

SN - 9781424407927

T3 - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

SP - 627

EP - 629

BT - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

T2 - 3rd International IEEE EMBS Conference on Neural Engineering

Y2 - 2 May 2007 through 5 May 2007

ER -

Coherence analyses of event-related potentials using Fourier and wavelet transforms

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