Boosting linear logistic regression for single trial ERP detection in rapid serial visual presentation tasks.

Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel

Research output: Contribution to journalArticle

Abstract

In this paper, we employ the AdaBoost algorithm to the linear logistic regression model to detect encephalography (EEG) signatures, called evoked response potentials of visual recognition events in a single trial. In the experiments, a large amount of images were displayed at a very high presentation rate, named rapid serial visual presentation. The EEG was recorded using 32 electrodes during the rapid image presentation. Subjects were instructed to click the mouse when they recognize a target image. The results demonstrated that the boosting method improves the detection performance compared with the base classifier by approximately 3% as measured by area under the ROC curve.

Original languageEnglish (US)
Pages (from-to)3369-3372
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
StatePublished - 2006
Externally publishedYes

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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