The use of ion channels as sensing elements for biological and chemical agents is a rapidly developing area. A silicon-based ion-channel platform has been developed and the feasibility for stochastic sensing based on changes in the stochastic gating due to the external environment has been demonstrated. The distinct signatures of the ion-channel currents lend themselves to statistical signal analysis based on the frequency of their occurrence and other features. Although current fluctuations can be used for classification, the presence of noise from fast blocking events can be ambiguous. Signal processing techniques can be applied to the analysis of stochastic ion-channel signals. In this paper, we present advanced signal processing algorithms to study the stochastic response of porin OmpF and a-hemolysin to a variety of different analytes. A silicon-based ion-channel is presented. Core problems addressed in the paper include: the identification of unique stochastic current signatures, spectral estimation, reduction of noise and classification using state-based models.

Original languageEnglish (US)
Title of host publicationProceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424412269, 9781424412266
StatePublished - 2007
EventWorkshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007 - Washington, United States
Duration: Apr 11 2007Apr 13 2007


OtherWorkshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Law
  • Computer Vision and Pattern Recognition
  • Signal Processing


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