A generalized method to estimate waveforms common across trials from EEGs

Yusuke Takeda; Masa-Aki Sato; Kentaro Yamanaka; Daichi Nozaki; Yoshiharu Yamamoto

doi:10.1016/j.neuroimage.2010.02.002

A generalized method to estimate waveforms common across trials from EEGs

Neuroimage. 2010 Jun;51(2):629-41. doi: 10.1016/j.neuroimage.2010.02.002. Epub 2010 Feb 10.

Authors

Yusuke Takeda¹, Masa-Aki Sato, Kentaro Yamanaka, Daichi Nozaki, Yoshiharu Yamamoto

Affiliation

¹ ATR Computational Neuroscience Laboratories, 2-2-2 Hikaridai, Keihanna Science City, Kyoto 619-0288, Japan. takeda@atr.jp

PMID: 20149878
DOI: 10.1016/j.neuroimage.2010.02.002

Abstract

We propose a generalized method to estimate waveforms common across trials from electroencephalographic (EEG) data. From single/multi-channel EEGs, the proposed method estimates the number of waveforms common across trials, their delays in individual trials, and all of the waveforms. After verifying the performance of this method by a number of simulation tests with artificial EEGs, we apply it to EEGs during a Go/NoGo task. This method can be used in general situations where the number and the delays of EEG waveforms common across trials are unknown.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Algorithms
Brain Mapping / methods*
Electroencephalography*
Humans
Models, Neurological*
Signal Processing, Computer-Assisted*