Choosing adequate average number in evoked potential studies with correlation coefficient

F. Z. Shaw; C. T. Yen

Choosing adequate average number in evoked potential studies with correlation coefficient

Department of Psychology

Research output: Contribution to journal › Article › peer-review

Abstract

A theoretical relationship was derived among the number of trials averaged (N), initial signal-to-noise ratio (SNR) and correlation coefficient (r). The validity of this relationship was tested with simulations using one cycle sinusoidal signal and two kinds of noises, namely, white gaussian noise and rat EEG. By selecting 0.95 as an acceptable r value, the adequate average number could be determined under different SNR conditions.

Original language	English
Pages (from-to)	97-100
Number of pages	4
Journal	Biomedical Engineering - Applications, Basis and Communications
Volume	12
Issue number	3
Publication status	Published - 2000 Jun 25

All Science Journal Classification (ASJC) codes

Biophysics
Bioengineering
Biomedical Engineering

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abstract = "A theoretical relationship was derived among the number of trials averaged (N), initial signal-to-noise ratio (SNR) and correlation coefficient (r). The validity of this relationship was tested with simulations using one cycle sinusoidal signal and two kinds of noises, namely, white gaussian noise and rat EEG. By selecting 0.95 as an acceptable r value, the adequate average number could be determined under different SNR conditions.",

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N2 - A theoretical relationship was derived among the number of trials averaged (N), initial signal-to-noise ratio (SNR) and correlation coefficient (r). The validity of this relationship was tested with simulations using one cycle sinusoidal signal and two kinds of noises, namely, white gaussian noise and rat EEG. By selecting 0.95 as an acceptable r value, the adequate average number could be determined under different SNR conditions.

AB - A theoretical relationship was derived among the number of trials averaged (N), initial signal-to-noise ratio (SNR) and correlation coefficient (r). The validity of this relationship was tested with simulations using one cycle sinusoidal signal and two kinds of noises, namely, white gaussian noise and rat EEG. By selecting 0.95 as an acceptable r value, the adequate average number could be determined under different SNR conditions.

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