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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sattigeri, P.S. Ramamurthy, K.N. Thiagarajan, J.J. Goryll, M. Spanias, A. Thornton, T. |
| Copyright Year | 2011 |
| Description | Author affiliation: SenSIP and CSSER Center, School of ECEE, Arizona State University, Tempe, USA (Sattigeri, P.S.; Ramamurthy, K.N.; Thiagarajan, J.J.; Goryll, M.; Spanias, A.; Thornton, T.) |
| Abstract | Ion-channel sensors can be used for detecting small metal ions and organic molecules. The sensor consists of a chamber with a lipid bilayer hosting ion channels produced by protein insertion. These channels allow selective transport and produce a characteristic signal across the chamber for each analyte. A four chamber ion channel sensor array is built for accurate analyte detection. In this paper, we address the case in which non-uniform number of channels formed in each chamber. The power distribution information in the transform domain is used as features for each chamber signal. We employ support vector regression to estimate the number of channels inserted in each chamber and normalize the chamber signal features. The change observed in the normalized features of the chamber containing the analyte with respect to other chambers is used for detection. Results show high accuracy rates for detection of analyte using simulated data and experimental data. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 426956 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457702730 |
| e-ISBN | 9781457702747 |
| DOI | 10.1109/ICDSP.2011.6004913 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-06 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Channel estimation Lipidomics Markov processes Switches Analytical models Kernel Feature extraction Support Vector Regression Ion-channel Wavelet kernel |
| Content Type | Text |
| Resource Type | Article |
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