Abstract

An ion-channel platform can be used for stochastic sensing at the molecule level. Digital signal processing techniques can be applied for detection, classification, and de-noising of ion-channel signals. In this paper, we present feature extraction and classification techniques for the analysis of the stochastic response of porin OmpF and α-hemolysin to several different analytes. In particular, we examine unitary transform representations of ionchannel currents. We study two transforms, namely, the Fourier transform and the Walsh transform. Preliminary results using a Hidden Markov model classifier are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008
Pages272-275
Number of pages4
StatePublished - 2008
Event5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008 - Innsbruck, Austria
Duration: Feb 13 2008Feb 15 2008

Other

Other5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008
CountryAustria
CityInnsbruck
Period2/13/082/15/08

Fingerprint

Mathematical transformations
Walsh transforms
Sensors
Ions
Hidden Markov models
Digital signal processing
Feature extraction
Fourier transforms
Classifiers
Molecules

Keywords

  • DSP
  • Feature extraction and classification
  • Ion-channel sensors
  • Walsh transform

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Kwon, H., Knee, P., Spanias, A., Goodnick, S., Thornton, T., & Phillips, S. (2008). Transform-domain features for ion-channel sensors. In Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008 (pp. 272-275)

Transform-domain features for ion-channel sensors. / Kwon, Homin; Knee, Peter; Spanias, Andreas; Goodnick, Stephen; Thornton, Trevor; Phillips, Stephen.

Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. 2008. p. 272-275.

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

Kwon, H, Knee, P, Spanias, A, Goodnick, S, Thornton, T & Phillips, S 2008, Transform-domain features for ion-channel sensors. in Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. pp. 272-275, 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008, Innsbruck, Austria, 2/13/08.
Kwon H, Knee P, Spanias A, Goodnick S, Thornton T, Phillips S. Transform-domain features for ion-channel sensors. In Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. 2008. p. 272-275
Kwon, Homin ; Knee, Peter ; Spanias, Andreas ; Goodnick, Stephen ; Thornton, Trevor ; Phillips, Stephen. / Transform-domain features for ion-channel sensors. Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. 2008. pp. 272-275
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