fNIR data classification using wavelet transforms and neural networks for attention monitoring

Alireza Akhbardeh, Meltem Izzetoglu, Scott Bunce, Kambiz Pourrezaei, Banu Onaral

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study investigates the potential of wavelet domain features on the classification of fNIR data for automated attention monitoring. Performance of two different neural classifiers is tested using wavelet based features and it is shown that fast and accurate classification of targets and non-targets can be reached.

Original languageEnglish (US)
Title of host publicationBiomedical Optics, BIOMED 2008
StatePublished - 2008
EventBiomedical Optics, BIOMED 2008 - St. Petersburg, FL, United States
Duration: Mar 16 2008Mar 19 2008

Other

OtherBiomedical Optics, BIOMED 2008
CountryUnited States
CitySt. Petersburg, FL
Period3/16/083/19/08

Fingerprint

wavelet analysis
Wavelet transforms
Neural networks
Monitoring
classifiers
Classifiers

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Biomaterials
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Cite this

Akhbardeh, A., Izzetoglu, M., Bunce, S., Pourrezaei, K., & Onaral, B. (2008). fNIR data classification using wavelet transforms and neural networks for attention monitoring. In Biomedical Optics, BIOMED 2008
Akhbardeh, Alireza ; Izzetoglu, Meltem ; Bunce, Scott ; Pourrezaei, Kambiz ; Onaral, Banu. / fNIR data classification using wavelet transforms and neural networks for attention monitoring. Biomedical Optics, BIOMED 2008. 2008.
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Akhbardeh, A, Izzetoglu, M, Bunce, S, Pourrezaei, K & Onaral, B 2008, fNIR data classification using wavelet transforms and neural networks for attention monitoring. in Biomedical Optics, BIOMED 2008. Biomedical Optics, BIOMED 2008, St. Petersburg, FL, United States, 3/16/08.

fNIR data classification using wavelet transforms and neural networks for attention monitoring. / Akhbardeh, Alireza; Izzetoglu, Meltem; Bunce, Scott; Pourrezaei, Kambiz; Onaral, Banu.

Biomedical Optics, BIOMED 2008. 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - fNIR data classification using wavelet transforms and neural networks for attention monitoring

AU - Akhbardeh, Alireza

AU - Izzetoglu, Meltem

AU - Bunce, Scott

AU - Pourrezaei, Kambiz

AU - Onaral, Banu

PY - 2008

Y1 - 2008

N2 - This study investigates the potential of wavelet domain features on the classification of fNIR data for automated attention monitoring. Performance of two different neural classifiers is tested using wavelet based features and it is shown that fast and accurate classification of targets and non-targets can be reached.

AB - This study investigates the potential of wavelet domain features on the classification of fNIR data for automated attention monitoring. Performance of two different neural classifiers is tested using wavelet based features and it is shown that fast and accurate classification of targets and non-targets can be reached.

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M3 - Conference contribution

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Akhbardeh A, Izzetoglu M, Bunce S, Pourrezaei K, Onaral B. fNIR data classification using wavelet transforms and neural networks for attention monitoring. In Biomedical Optics, BIOMED 2008. 2008