Detection of temporal changes in psychophysiological data using statistical process control methods.

Published

Journal Article

We consider the problem of detecting temporal changes in the functional state of human subjects due to varying levels of cognitive load using real-time psychophysiological data. The proposed approach relies on monitoring several channels of electroencephalogram (EEG) and electrooculogram (EOG) signals using the methods of statistical process control. It is demonstrated that control charting methods are capable of detecting changes in psychophysiological signals that are induced by varying cognitive load with high accuracy and low false alarm rates, and are capable of accommodating subject-specific differences while being robust with respect to differences between different trials performed by the same subject.

Full Text

Cited Authors

  • Cannon, J; Krokhmal, PA; Chen, Y; Murphey, R

Published Date

  • September 2012

Published In

Volume / Issue

  • 107 / 3

Start / End Page

  • 367 - 381

PubMed ID

  • 21377752

Pubmed Central ID

  • 21377752

Electronic International Standard Serial Number (EISSN)

  • 1872-7565

International Standard Serial Number (ISSN)

  • 0169-2607

Digital Object Identifier (DOI)

  • 10.1016/j.cmpb.2011.01.003

Language

  • eng